Search Results for author: Yue Zhang

Found 252 papers, 103 papers with code

Cross-Lingual Dependency Parsing via Self-Training

no code implementations CCL 2020 Meishan Zhang, Yue Zhang

Recent advances of multilingual word representations weaken the input divergences across languages, making cross-lingual transfer similar to the monolingual cross-domain and semi-supervised settings.

Cross-Lingual POS Tagging Cross-Lingual Transfer +2

Natural Language Processing Meets Quantum Physics: A Survey and Categorization

no code implementations EMNLP 2021 Sixuan Wu, Jian Li, Peng Zhang, Yue Zhang

Recent research has investigated quantum NLP, designing algorithms that process natural language in quantum computers, and also quantum-inspired algorithms that improve NLP performance on classical computers.

新型冠状病毒肺炎相关的推特主题与情感研究(Exploring COVID-19-related Twitter Topic Dynamics across Countries)

no code implementations CCL 2020 Shuailong Liang, Derek F. Wong, Yue Zhang

我们基于从2020年1月22日至2020年4月30日在推特社交平台上抓取的不同国家和地区发布的50万条推文, 研究了有关 2019新型冠状病毒肺炎相关的主题和人们的观点, 发现了不同国家之间推特用户的普遍关切和看法之间存在着异同, 并且对不同议题的情感态度也有所不同。我们发现大部分推文中包含了强烈的情感, 其中表达爱与支持的推文比较普遍。总体来看, 人们的情感随着时间的推移逐渐正向增强。

Investigating Rich Feature Sources for Conceptual Representation Encoding

no code implementations COLING (CogALex) 2020 Lu Cao, Yulong Chen, Dandan Huang, Yue Zhang

Functional Magnetic Resonance Imaging (fMRI) provides a means to investigate human conceptual representation in cognitive and neuroscience studies, where researchers predict the fMRI activations with elicited stimuli inputs.

Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings

no code implementations ACL 2022 Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Li

Although contextualized embeddings generated from large-scale pre-trained models perform well in many tasks, traditional static embeddings (e. g., Skip-gram, Word2Vec) still play an important role in low-resource and lightweight settings due to their low computational cost, ease of deployment, and stability.

Word Embeddings

A Graph Enhanced BERT Model for Event Prediction

no code implementations Findings (ACL) 2022 Li Du, Xiao Ding, Yue Zhang, Ting Liu, Bing Qin

Predicting the subsequent event for an existing event context is an important but challenging task, as it requires understanding the underlying relationship between events.

Prompt-Driven Neural Machine Translation

1 code implementation Findings (ACL) 2022 Yafu Li, Yongjing Yin, Jing Li, Yue Zhang

Neural machine translation (NMT) has obtained significant performance improvement over the recent years.

Machine Translation Translation

Entity Enhanced BERT Pre-training for Chinese NER

no code implementations EMNLP 2020 Chen Jia, Yuefeng Shi, Qinrong Yang, Yue Zhang

We then integrate the entity information into BERT using Char-Entity-Transformer, which augments the self-attention using a combination of character and entity representations.


Learning to Rank in the Age of Muppets: Effectiveness–Efficiency Tradeoffs in Multi-Stage Ranking

no code implementations EMNLP (sustainlp) 2021 Yue Zhang, ChengCheng Hu, Yuqi Liu, Hui Fang, Jimmy Lin

It is well known that rerankers built on pretrained transformer models such as BERT have dramatically improved retrieval effectiveness in many tasks.

Document Ranking Learning-To-Rank

DialogSum Challenge: Summarizing Real-Life Scenario Dialogues

no code implementations INLG (ACL) 2021 Yulong Chen, Yang Liu, Yue Zhang

We propose a shared task on summarizing real-life scenario dialogues, DialogSum Challenge, to encourage researchers to address challenges in dialogue summarization, which has been less studied by the summarization community.

Common Sense Reasoning Representation Learning

A Graph Enhanced BERT Model for Event Prediction

no code implementations22 May 2022 Li Du, Xiao Ding, Yue Zhang, Kai Xiong, Ting Liu, Bing Qin

To this end, we incorporate an additional structured variable into BERT to learn to predict the event connections in the training process.

The Cross-lingual Conversation Summarization Challenge

no code implementations1 May 2022 Yulong Chen, Ming Zhong, Xuefeng Bai, Naihao Deng, Jing Li, Xianchao Zhu, Yue Zhang

We propose the shared task of cross-lingual conversation summarization, \emph{ConvSumX Challenge}, opening new avenues for researchers to investigate solutions that integrate conversation summarization and machine translation.

Machine Translation Translation

MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction

1 code implementation23 Apr 2022 Yue Zhang, Zhenghua Li, Zuyi Bao, Jiacheng Li, Bo Zhang, Chen Li, Fei Huang, Min Zhang

This paper presents MuCGEC, a multi-reference multi-source evaluation dataset for Chinese Grammatical Error Correction (CGEC), consisting of 7, 063 sentences collected from three Chinese-as-a-Second-Language (CSL) learner sources.

Grammatical Error Correction Pretrained Language Models

On Effectively Learning of Knowledge in Continual Pre-training

no code implementations17 Apr 2022 Cunxiang Wang, Fuli Luo, Yanyang Li, Runxin Xu, Fei Huang, Yue Zhang

Pre-trained language models (PLMs) like BERT have made significant progress in various downstream NLP tasks.

Self-Supervised Learning

Towards Fine-grained Causal Reasoning and QA

1 code implementation15 Apr 2022 Linyi Yang, Zhen Wang, Yuxiang Wu, Jie Yang, Yue Zhang

Understanding causality is key to the success of NLP applications, especially in high-stakes domains.

Question Answering

On the Role of Pre-trained Language Models in Word Ordering: A Case Study with BART

1 code implementation15 Apr 2022 Zebin Ou, Meishan Zhang, Yue Zhang

Word ordering is a constrained language generation task taking unordered words as input.

Text Generation

Challenges for Open-domain Targeted Sentiment Analysis

no code implementations14 Apr 2022 Yun Luo, Hongjie Cai, Linyi Yang, Yanxia Qin, Rui Xia, Yue Zhang

Since previous studies on open-domain targeted sentiment analysis are limited in dataset domain variety and sentence level, we propose a novel dataset consisting of 6, 013 human-labeled data to extend the data domains in topics of interest and document level.

Sentiment Analysis

A Rationale-Centric Framework for Human-in-the-loop Machine Learning

1 code implementation ACL 2022 Jinghui Lu, Linyi Yang, Brian Mac Namee, Yue Zhang

We present a novel rationale-centric framework with human-in-the-loop -- Rationales-centric Double-robustness Learning (RDL) -- to boost model out-of-distribution performance in few-shot learning scenarios.

Few-Shot Learning

Towards Robust Online Dialogue Response Generation

no code implementations7 Mar 2022 Leyang Cui, Fandong Meng, Yijin Liu, Jie zhou, Yue Zhang

Although pre-trained sequence-to-sequence models have achieved great success in dialogue response generation, chatbots still suffer from generating inconsistent responses in real-world practice, especially in multi-turn settings.

Chatbot Re-Ranking +1

Do Prompts Solve NLP Tasks Using Natural Language?

no code implementations2 Mar 2022 Sen yang, Yunchen Zhang, Leyang Cui, Yue Zhang

Thanks to the advanced improvement of large pre-trained language models, prompt-based fine-tuning is shown to be effective on a variety of downstream tasks.

Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization

no code implementations9 Feb 2022 Jian Zhao, Yue Zhang, Xunhan Hu, Weixun Wang, Wengang Zhou, Jianye Hao, Jiangcheng Zhu, Houqiang Li

In cooperative multi-agent systems, agents jointly take actions and receive a team reward instead of individual rewards.

NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting

no code implementations5 Jan 2022 Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth

Financial forecasting has been an important and active area of machine learning research because of the challenges it presents and the potential rewards that even minor improvements in prediction accuracy or forecasting may entail.

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation

1 code implementation6 Dec 2021 Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicolas Roberts, Juan Diego Rodriguez, Claude Roux, Vasconcellos P. H. S., Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib N. Shamsi, Xudong Shen, Haoyue Shi, Yiwen Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, KV Aditya Srivatsa, Tony Sun, Mukund Varma T, A Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Gloria Wang, Zijie J. Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmański, Tianbao Xie, Usama Yaseen, M. Yee, Jing Zhang, Yue Zhang

Data augmentation is an important component in the robustness evaluation of models in natural language processing (NLP) and in enhancing the diversity of the data they are trained on.

Data Augmentation

Confidence-Aware Active Feedback for Efficient Instance Search

no code implementations23 Oct 2021 Yue Zhang, Chao Liang, Longxiang Jiang

To address the above problems, we propose a confidence-aware active feedback (CAAF) method that can efficiently select the most valuable feedback candidates to improve the re-ranking performance.

Active Learning Instance Search +1

Entity Relation Extraction as Dependency Parsing in Visually Rich Documents

no code implementations EMNLP 2021 Yue Zhang, Bo Zhang, Rui Wang, Junjie Cao, Chen Li, Zuyi Bao

Previous works on key information extraction from visually rich documents (VRDs) mainly focus on labeling the text within each bounding box (i. e., semantic entity), while the relations in-between are largely unexplored.

Dependency Parsing Entity Linking +2

NAIL: A Challenging Benchmark for Na\"ive Logical Reasoning

no code implementations29 Sep 2021 Xinbo Zhang, Changzhi Sun, Yue Zhang, Lei LI, Hao Zhou

Logical reasoning over natural text is an important capability towards human level intelligence.

Investigating Non-local Features for Neural Constituency Parsing

1 code implementation ACL 2022 Leyang Cui, Sen yang, Yue Zhang

Besides, our method achieves state-of-the-art BERT-based performance on PTB (95. 92 F1) and strong performance on CTB (92. 31 F1).

Constituency Parsing

Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generation

1 code implementation EMNLP 2021 Leyang Cui, Yu Wu, Shujie Liu, Yue Zhang

To deal with this problem, instead of introducing knowledge base as the input, we force the model to learn a better semantic representation by predicting the information in the knowledge base, only based on the input context.

Dialogue Generation

Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning

no code implementations15 Aug 2021 Cunxiang Wang, Boyuan Zheng, Yuchen Niu, Yue Zhang

To quantitatively and intuitively explore the generalization ability of pre-trained language models (PLMs), we have designed several tasks of arithmetic and logical reasoning.

Pretrained Language Models

End-to-End AMR Coreference Resolution

1 code implementation ACL 2021 Qiankun Fu, Linfeng Song, Wenyu Du, Yue Zhang

Although parsing to Abstract Meaning Representation (AMR) has become very popular and AMR has been shown effective on the many sentence-level downstream tasks, little work has studied how to generate AMRs that can represent multi-sentence information.

Coreference Resolution Text Summarization

Understanding the merging behavior patterns and evolutionary mechanism at freeway on-ramps

no code implementations31 Jul 2021 Yue Zhang, Yajie Zou, Lingtao Wuand Wanbing Han

This study develops a primitive-based framework to identify the driving patterns during merging processes and reveal the evolutionary mechanism at freeway on-ramps in congested traffic flow.

Autonomous Driving Decision Making +1

Supervised Off-Policy Ranking

1 code implementation3 Jul 2021 Yue Jin, Yue Zhang, Tao Qin, Xudong Zhang, Jian Yuan, Houqiang Li, Tie-Yan Liu

Off-policy evaluation (OPE) leverages data generated by other policies to evaluate a target policy.

Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis

1 code implementation ACL 2021 Linyi Yang, Jiazheng Li, Pádraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong

While state-of-the-art NLP models have been achieving the excellent performance of a wide range of tasks in recent years, important questions are being raised about their robustness and their underlying sensitivity to systematic biases that may exist in their training and test data.

Data Augmentation Sentiment Analysis

Non-Point Visible Light Transmitter Localization based on Monocular Camera

no code implementations29 Jun 2021 Hongxiu Zhao, Xun Zhang, Faouzi Bader, Yue Zhang

Many algorithms for visible light positioning (VLP) localization do not consider the shapes of the transmitters, which leads to the impracticality of the algorithm and the low localization accuracy.

Template-Based Named Entity Recognition Using BART

1 code implementation Findings (ACL) 2021 Leyang Cui, Yu Wu, Jian Liu, Sen yang, Yue Zhang

To address the issue, we propose a template-based method for NER, treating NER as a language model ranking problem in a sequence-to-sequence framework, where original sentences and statement templates filled by candidate named entity span are regarded as the source sequence and the target sequence, respectively.

few-shot-ner Few-shot NER +3

Can Generative Pre-trained Language Models Serve as Knowledge Bases for Closed-book QA?

1 code implementation ACL 2021 Cunxiang Wang, Pai Liu, Yue Zhang

Recent work has investigated the interesting question using pre-trained language models (PLMs) as knowledge bases for answering open questions.

Question Answering

A Unified Span-Based Approach for Opinion Mining with Syntactic Constituents

1 code implementation NAACL 2021 Qingrong Xia, Bo Zhang, Rui Wang, Zhenghua Li, Yue Zhang, Fei Huang, Luo Si, Min Zhang

Fine-grained opinion mining (OM) has achieved increasing attraction in the natural language processing (NLP) community, which aims to find the opinion structures of {``}Who expressed what opinions towards what{''} in one sentence.

Multi-Task Learning Opinion Mining

On Compositional Generalization of Neural Machine Translation

1 code implementation ACL 2021 Yafu Li, Yongjing Yin, Yulong Chen, Yue Zhang

Modern neural machine translation (NMT) models have achieved competitive performance in standard benchmarks such as WMT.

Domain Generalization Machine Translation +1

G-Transformer for Document-level Machine Translation

1 code implementation ACL 2021 Guangsheng Bao, Yue Zhang, Zhiyang Teng, Boxing Chen, Weihua Luo

However, study shows that when we further enlarge the translation unit to a whole document, supervised training of Transformer can fail.

Document Level Machine Translation Machine Translation +1

V2V Spatiotemporal Interactive Pattern Recognition and Risk Analysis in Lane Changes

no code implementations22 May 2021 Yue Zhang, Yajie Zou, Lingtao Wu

This study explores the spatiotemporal evolution law and risk formation mechanism of the LC interactive patterns and the findings are useful for comprehensively understanding the latent interactive patterns, improving the rationality and safety of autonomous vehicle's decision-making.

Autonomous Vehicles Decision Making +1

Semantic Representation for Dialogue Modeling

1 code implementation ACL 2021 Xuefeng Bai, Yulong Chen, Linfeng Song, Yue Zhang

Although neural models have achieved competitive results in dialogue systems, they have shown limited ability in representing core semantics, such as ignoring important entities.

Dialog Relation Extraction Dialogue Understanding +1

Lexicon Enhanced Chinese Sequence Labeling Using BERT Adapter

1 code implementation ACL 2021 Wei Liu, Xiyan Fu, Yue Zhang, Wenming Xiao

Lexicon information and pre-trained models, such as BERT, have been combined to explore Chinese sequence labelling tasks due to their respective strengths.

Named Entity Recognition Part-Of-Speech Tagging

Towards Navigation by Reasoning over Spatial Configurations

no code implementations ACL (splurobonlp) 2021 Yue Zhang, Quan Guo, Parisa Kordjamshidi

Additionally, the experimental results demonstrate that explicit modeling of spatial semantic elements in the instructions can improve the grounding and spatial reasoning of the model.

Structural Adapters in Pretrained Language Models for AMR-to-text Generation

1 code implementation EMNLP 2021 Leonardo F. R. Ribeiro, Yue Zhang, Iryna Gurevych

Pretrained language models (PLM) have recently advanced graph-to-text generation, where the input graph is linearized into a sequence and fed into the PLM to obtain its representation.

AMR-to-Text Generation Data-to-Text Generation +1

Constrained Text Generation with Global Guidance -- Case Study on CommonGen

no code implementations12 Mar 2021 Yixian Liu, Liwen Zhang, Wenjuan Han, Yue Zhang, Kewei Tu

We focus on CommonGen, the task of generating text based on a set of concepts, as a representative task of constrained text generation.

Common Sense Reasoning reinforcement-learning +1

PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images

no code implementations27 Feb 2021 Yingying Xu, Ming Cai, Lanfen Lin, Yue Zhang, Hongjie Hu, Zhiyi Peng, Qiaowei Zhang, Qingqing Chen, Xiongwei Mao, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong

In this paper, we propose a phase attention residual network (PA-ResSeg) to model multi-phase features for accurate liver tumor segmentation, in which a phase attention (PA) is newly proposed to additionally exploit the images of arterial (ART) phase to facilitate the segmentation of portal venous (PV) phase.

Tumor Segmentation

DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning

no code implementations23 Feb 2021 Xianyuan Zhan, Haoran Xu, Yue Zhang, Xiangyu Zhu, Honglei Yin, Yu Zheng

Optimizing the combustion efficiency of a thermal power generating unit (TPGU) is a highly challenging and critical task in the energy industry.

Continuous Control Offline RL +1

A GAN-Based Input-Size Flexibility Model for Single Image Dehazing

no code implementations19 Feb 2021 Shichao Kan, Yue Zhang, Fanghui Zhang, Yigang Cen

Based on the atmospheric scattering model, we design a novel model to directly generate the haze-free image.

Image Dehazing Image Restoration +3

Field-free spin-orbit torque-induced switching of perpendicular magnetization in a ferrimagnetic layer with vertical composition gradient

no code implementations21 Jan 2021 Zhenyi Zheng, Yue Zhang, Victor Lopez-Dominguez, Luis Sánchez-Tejerina, Jiacheng Shi, Xueqiang Feng, Lei Chen, Zilu Wang, Zhizhong Zhang, Kun Zhang, Bin Hong, Yong Xu, Youguang Zhang, Mario Carpentieri, Albert Fert, Giovanni Finocchio, Weisheng Zhao, Pedram Khalili Amiri

Existing methods to do so involve the application of an in-plane bias magnetic field, or incorporation of in-plane structural asymmetry in the device, both of which can be difficult to implement in practical applications.

Mesoscale and Nanoscale Physics

Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution

no code implementations ICCV 2021 Huimin Huang, Lanfen Lin, Yue Zhang, Yingying Xu, Jing Zheng, Xiongwei Mao, Xiaohan Qian, Zhiyi Peng, Jianying Zhou, Yen-Wei Chen, Ruofeng Tong

Semi-supervised learning (SSL) algorithms have attracted much attentions in medical image segmentation by leveraging unlabeled data, which challenge in acquiring massive pixel-wise annotated samples.

Boundary Detection Multi-Task Learning +2

News-Driven Stock Prediction Using Noisy Equity State Representation

no code implementations1 Jan 2021 Xiao Liu, Heyan Huang, Yue Zhang

News-driven stock prediction investigates the correlation between news events and stock price movements.

Stock Prediction

SemGloVe: Semantic Co-occurrences for GloVe from BERT

no code implementations30 Dec 2020 Leilei Gan, Zhiyang Teng, Yue Zhang, Linchao Zhu, Fei Wu, Yi Yang

In this paper, we propose SemGloVe, which distills semantic co-occurrences from BERT into static GloVe word embeddings.

Language Modelling Word Embeddings +1

Estimating The Effect Of Subscription based Streaming Services On The Demand For Game Consoles

1 code implementation23 Dec 2020 Tung Yu Marco Chan, Yue Zhang, Tsun Yi Yeung

In this paper, we attempt to estimate the effect of the implementation of subscription-based streaming services on the demand of the associated game consoles.

End-to-End Chinese Parsing Exploiting Lexicons

no code implementations8 Dec 2020 Yuan Zhang, Zhiyang Teng, Yue Zhang

Chinese parsing has traditionally been solved by three pipeline systems including word-segmentation, part-of-speech tagging and dependency parsing modules.

Dependency Parsing Graph Attention +1

Sentiment Forecasting in Dialog

no code implementations COLING 2020 Zhongqing Wang, Xiujun Zhu, Yue Zhang, Shoushan Li, Guodong Zhou

Sentiment forecasting in dialog aims to predict the polarity of next utterance to come, and can help speakers revise their utterances in sentimental utterances generation.

Semantic Role Labeling with Heterogeneous Syntactic Knowledge

1 code implementation COLING 2020 Qingrong Xia, Rui Wang, Zhenghua Li, Yue Zhang, Min Zhang

Recently, due to the interplay between syntax and semantics, incorporating syntactic knowledge into neural semantic role labeling (SRL) has achieved much attention.

Semantic Role Labeling

Financial Sentiment Analysis: An Investigation into Common Mistakes and Silver Bullets

no code implementations COLING 2020 Frank Xing, Lorenzo Malandri, Yue Zhang, Erik Cambria

The recent dominance of machine learning-based natural language processing methods has fostered the culture of overemphasizing model accuracies rather than studying the reasons behind their errors.

Autonomous Driving Sentiment Analysis

Porous Lattice Transformer Encoder for Chinese NER

no code implementations COLING 2020 Xue Mengge, Bowen Yu, Tingwen Liu, Yue Zhang, Erli Meng, Bin Wang

Incorporating lexicons into character-level Chinese NER by lattices is proven effective to exploitrich word boundary information.


Arbitrary-Oriented Object Detection in Remote Sensing Images Based on Polar Coordinates

no code implementations IEEE Access 2020 Lin Zhou, Haoran Wei, Hao Li, Wenzhe Zhao, Yi Zhang, Yue Zhang

In this article, we introduce the polar coordinate system to the deep learning detector for the first time, and propose an anchor free Polar Remote Sensing Object Detector (P-RSDet), which can achieve competitive detection accuracy via using simpler object representation model and less regression parameters.

Object Detection One-stage Anchor-free Oriented Object Detection

Natural Language Inference in Context -- Investigating Contextual Reasoning over Long Texts

1 code implementation10 Nov 2020 Hanmeng Liu, Leyang Cui, Jian Liu, Yue Zhang

Natural language inference (NLI) is a fundamental NLP task, investigating the entailment relationship between two texts.

Natural Language Inference

Layer-Wise Multi-View Learning for Neural Machine Translation

no code implementations COLING 2020 Qiang Wang, Changliang Li, Yue Zhang, Tong Xiao, Jingbo Zhu

In this way, in addition to the topmost encoder layer (referred to as the primary view), we also incorporate an intermediate encoder layer as the auxiliary view.

Machine Translation MULTI-VIEW LEARNING +1

A Lane-Changing Prediction Method Based on Temporal Convolution Network

no code implementations1 Nov 2020 Yue Zhang, Yajie Zou, Jinjun Tang, Jian Liang

To capture the stochastic time series of lane-changing behavior, this study proposes a temporal convolutional network (TCN) to predict the long-term lane-changing trajectory and behavior.

Time Series

Coarse-to-Fine Pre-training for Named Entity Recognition

1 code implementation EMNLP 2020 Mengge Xue, Bowen Yu, Zhenyu Zhang, Tingwen Liu, Yue Zhang, Bin Wang

More recently, Named Entity Recognition hasachieved great advances aided by pre-trainingapproaches such as BERT.

Named Entity Recognition NER

Does Chinese BERT Encode Word Structure?

1 code implementation COLING 2020 Yile Wang, Leyang Cui, Yue Zhang

Contextualized representations give significantly improved results for a wide range of NLP tasks.

Chunking Natural Language Inference +1

What Have We Achieved on Text Summarization?

1 code implementation EMNLP 2020 Dandan Huang, Leyang Cui, Sen yang, Guangsheng Bao, Kun Wang, Jun Xie, Yue Zhang

Deep learning has led to significant improvement in text summarization with various methods investigated and improved ROUGE scores reported over the years.

Text Summarization

Dyadic Speech-based Affect Recognition using DAMI-P2C Parent-child Multimodal Interaction Dataset

no code implementations20 Aug 2020 Huili Chen, Yue Zhang, Felix Weninger, Rosalind Picard, Cynthia Breazeal, Hae Won Park

Automatic speech-based affect recognition of individuals in dyadic conversation is a challenging task, in part because of its heavy reliance on manual pre-processing.

Commonsense Knowledge Graph Reasoning by Selection or Generation? Why?

no code implementations13 Aug 2020 Cunxiang Wang, Jinhang Wu, Luxin Liu, Yue Zhang

We theoretically and empirically compare the two methods, finding the selection method is more suitable than the generation method in CKGR.

Knowledge Graph Embedding

Dialogue State Induction Using Neural Latent Variable Models

1 code implementation13 Aug 2020 Qingkai Min, Libo Qin, Zhiyang Teng, Xiao Liu, Yue Zhang

Dialogue state modules are a useful component in a task-oriented dialogue system.

On Commonsense Cues in BERT for Solving Commonsense Tasks

no code implementations Findings (ACL) 2021 Leyang Cui, Sijie Cheng, Yu Wu, Yue Zhang

We quantitatively investigate the presence of structural commonsense cues in BERT when solving commonsense tasks, and the importance of such cues for the model prediction.

Sentiment Analysis

openXDATA: A Tool for Multi-Target Data Generation and Missing Label Completion

1 code implementation27 Jul 2020 Felix Weninger, Yue Zhang, Rosalind W. Picard

A common problem in machine learning is to deal with datasets with disjoint label spaces and missing labels.

LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning

1 code implementation16 Jul 2020 Jian Liu, Leyang Cui, Hanmeng Liu, Dandan Huang, Yile Wang, Yue Zhang

Machine reading is a fundamental task for testing the capability of natural language understanding, which is closely related to human cognition in many aspects.

Machine Reading Comprehension Natural Language Understanding

Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset

1 code implementation EMNLP (sdp) 2020 Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin

We present Covidex, a search engine that exploits the latest neural ranking models to provide information access to the COVID-19 Open Research Dataset curated by the Allen Institute for AI.

Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences

1 code implementation ACL 2020 Xiangyu Duan, Baijun Ji, Hao Jia, Min Tan, Min Zhang, Boxing Chen, Weihua Luo, Yue Zhang

In this paper, we propose a new task of machine translation (MT), which is based on no parallel sentences but can refer to a ground-truth bilingual dictionary.

Machine Translation Translation +1

SemEval-2020 Task 4: Commonsense Validation and Explanation

2 code implementations SEMEVAL 2020 Cunxiang Wang, Shuailong Liang, Yili Jin, Yilong Wang, Xiaodan Zhu, Yue Zhang

In this paper, we present SemEval-2020 Task 4, Commonsense Validation and Explanation (ComVE), which includes three subtasks, aiming to evaluate whether a system can distinguish a natural language statement that makes sense to humans from one that does not, and provide the reasons.

Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks

no code implementations ACL 2020 Bo Zhang, Yue Zhang, Rui Wang, Zhenghua Li, Min Zhang

The experimental results show that syntactic information is highly valuable for ORL, and our final MTL model effectively boosts the F1 score by 9. 29 over the syntax-agnostic baseline.

Fine-Grained Opinion Analysis Multi-Task Learning

AMR Parsing with Latent Structural Information

no code implementations ACL 2020 Qiji Zhou, Yue Zhang, Donghong Ji, Hao Tang

Abstract Meaning Representations (AMRs) capture sentence-level semantics structural representations to broad-coverage natural sentences.

AMR Parsing

ZPR2: Joint Zero Pronoun Recovery and Resolution using Multi-Task Learning and BERT

no code implementations ACL 2020 Linfeng Song, Kun Xu, Yue Zhang, Jianshu Chen, Dong Yu

Zero pronoun recovery and resolution aim at recovering the dropped pronoun and pointing out its anaphoric mentions, respectively.

Multi-Task Learning

CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP

2 code implementations11 Jun 2020 Libo Qin, Minheng Ni, Yue Zhang, Wanxiang Che

Compared with the existing work, our method does not rely on bilingual sentences for training, and requires only one training process for multiple target languages.

Data Augmentation

RelEx: A Model-Agnostic Relational Model Explainer

no code implementations30 May 2020 Yue Zhang, David Defazio, Arti Ramesh

In this work, we develop RelEx, a model-agnostic relational explainer to explain black-box relational models with only access to the outputs of the black-box.

Relational Reasoning

DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks

no code implementations16 May 2020 Hongwei Huang, Weiqi Luo, Guoqiang Zeng, Jian Weng, Yue Zhang, Anjia Yang

However, the DL models may be prone to the membership inference attack, where an attacker determines whether a given sample is from the training dataset.

Domain Adaptation Inference Attack +1

DRTS Parsing with Structure-Aware Encoding and Decoding

no code implementations ACL 2020 Qiankun Fu, Yue Zhang, Jiangming Liu, Meishan Zhang

Discourse representation tree structure (DRTS) parsing is a novel semantic parsing task which has been concerned most recently.

Graph Attention Semantic Parsing

Multi-Domain Spoken Language Understanding Using Domain- and Task-Aware Parameterization

no code implementations30 Apr 2020 Libo Qin, Minheng Ni, Yue Zhang, Wanxiang Che, Yangming Li, Ting Liu

Spoken language understanding has been addressed as a supervised learning problem, where a set of training data is available for each domain.

Spoken Language Understanding

Multiscale Collaborative Deep Models for Neural Machine Translation

1 code implementation ACL 2020 Xiangpeng Wei, Heng Yu, Yue Hu, Yue Zhang, Rongxiang Weng, Weihua Luo

Recent evidence reveals that Neural Machine Translation (NMT) models with deeper neural networks can be more effective but are difficult to train.

Machine Translation Translation

Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog

1 code implementation ACL 2020 Libo Qin, Xiao Xu, Wanxiang Che, Yue Zhang, Ting Liu

However, there has been relatively little research on how to effectively use data from all domains to improve the performance of each domain and also unseen domains.

Task-Oriented Dialogue Systems

MuTual: A Dataset for Multi-Turn Dialogue Reasoning

1 code implementation ACL 2020 Leyang Cui, Yu Wu, Shujie Liu, Yue Zhang, Ming Zhou

Non-task oriented dialogue systems have achieved great success in recent years due to largely accessible conversation data and the development of deep learning techniques.

Task-Oriented Dialogue Systems

Learning Fairness-aware Relational Structures

no code implementations21 Feb 2020 Yue Zhang, Arti Ramesh

The development of fair machine learning models that effectively avert bias and discrimination is an important problem that has garnered attention in recent years.

Fairness Recommendation Systems

Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors

no code implementations21 Feb 2020 Yue Zhang, Arti Ramesh

Further, our model is capable of learning latent characteristics in real-world networks via meaningful latent variables encoded as a complex combination of observed features and membership distributions.

Community Detection Probabilistic Programming +1

Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs

1 code implementation29 Jan 2020 Leonardo F. R. Ribeiro, Yue Zhang, Claire Gardent, Iryna Gurevych

Recent graph-to-text models generate text from graph-based data using either global or local aggregation to learn node representations.

Graph-to-Sequence KG-to-Text Generation +1

Objects detection for remote sensing images based on polar coordinates

no code implementations9 Jan 2020 Lin Zhou, Hao-Ran Wei, Hao Li, Wenzhe Zhao, Yi Zhang, Yue Zhang

In this article, we introduce the polar coordinate system to the deep learning detector for the first time, and propose an anchor free Polar Remote Sensing Object Detector (P-RSDet), which can achieve competitive detection accuracy via uses simpler object representation model and less regression parameters.

Object Detection

Evaluating Commonsense in Pre-trained Language Models

1 code implementation27 Nov 2019 Xuhui Zhou, Yue Zhang, Leyang Cui, Dandan Huang

However, relatively little work has been done investigating commonsense knowledge contained in contextualized representations, which is crucial for human question answering and reading comprehension.

Language Modelling Question Answering +1

Transition-Based Deep Input Linearization

1 code implementation EACL 2017 Ratish Puduppully, Yue Zhang, Manish Shrivastava

Traditional methods for deep NLG adopt pipeline approaches comprising stages such as constructing syntactic input, predicting function words, linearizing the syntactic input and generating the surface forms.

Data-to-Text Generation Machine Translation

How Can BERT Help Lexical Semantics Tasks?

no code implementations7 Nov 2019 Yile Wang, Leyang Cui, Yue Zhang

Contextualized embeddings such as BERT can serve as strong input representations to NLP tasks, outperforming their static embeddings counterparts such as skip-gram, CBOW and GloVe.

Word Embeddings

Contrastive Attention Mechanism for Abstractive Sentence Summarization

1 code implementation IJCNLP 2019 Xiangyu Duan, Hoongfei Yu, Mingming Yin, Min Zhang, Weihua Luo, Yue Zhang

We propose a contrastive attention mechanism to extend the sequence-to-sequence framework for abstractive sentence summarization task, which aims to generate a brief summary of a given source sentence.

Abstractive Text Summarization Sentence Summarization

Syntax-Enhanced Self-Attention-Based Semantic Role Labeling

no code implementations IJCNLP 2019 Yue Zhang, Rui Wang, Luo Si

As a fundamental NLP task, semantic role labeling (SRL) aims to discover the semantic roles for each predicate within one sentence.

Semantic Role Labeling

Duality Regularization for Unsupervised Bilingual Lexicon Induction

no code implementations3 Sep 2019 Xuefeng Bai, Yue Zhang, Hailong Cao, Tiejun Zhao

Unsupervised bilingual lexicon induction naturally exhibits duality, which results from symmetry in back-translation.

Bilingual Lexicon Induction Translation

X-LineNet: Detecting Aircraft in Remote Sensing Images by a pair of Intersecting Line Segments

no code implementations29 Jul 2019 Hao-Ran Wei, Yue Zhang, Bing Wang, Yang Yang, Hao Li, Hongqi Wang

Motivated by the development of deep convolution neural networks (DCNNs), tremendous progress has been gained in the field of aircraft detection.

Investigating Self-Attention Network for Chinese Word Segmentation

2 code implementations26 Jul 2019 Leilei Gan, Yue Zhang

Neural network has become the dominant method for Chinese word segmentation.

Chinese Word Segmentation

Tree Communication Models for Sentiment Analysis

1 code implementation ACL 2019 Yuan Zhang, Yue Zhang

Tree-LSTMs have been used for tree-based sentiment analysis over Stanford Sentiment Treebank, which allows the sentiment signals over hierarchical phrase structures to be calculated simultaneously.

Sentiment Analysis

Latent Variable Sentiment Grammar

1 code implementation ACL 2019 Liwen Zhang, Kewei Tu, Yue Zhang

Neural models have been investigated for sentiment classification over constituent trees.

General Classification Sentiment Analysis

Open Domain Event Extraction Using Neural Latent Variable Models

1 code implementation ACL 2019 Xiao Liu, He-Yan Huang, Yue Zhang

We consider open domain event extraction, the task of extracting unconstraint types of events from news clusters.

Event Extraction

Learning Word Embeddings with Domain Awareness

1 code implementation7 Jun 2019 Guoyin Wang, Yan Song, Yue Zhang, Dong Yu

Word embeddings are traditionally trained on a large corpus in an unsupervised setting, with no specific design for incorporating domain knowledge.

Learning Word Embeddings

Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks

1 code implementation24 Apr 2019 Shuailong Liang, Olivia Nicol, Yue Zhang

Blame games tend to follow major disruptions, be they financial crises, natural disasters or terrorist attacks.

CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks

no code implementations20 Apr 2019 Peng Li, Xi Rao, Jennifer Blase, Yue Zhang, Xu Chu, Ce Zhang

Data quality affects machine learning (ML) model performances, and data scientists spend considerable amount of time on data cleaning before model training.

14 General Classification +1

Comparison Network for One-Shot Conditional Object Detection

no code implementations4 Apr 2019 Tengfei Zhang, Yue Zhang, Xian Sun, Hao Sun, Menglong Yan, Xue Yang, Kun fu

A two-stage detector for OSCD is introduced to compare the extracted query and target features with the learnable metric to approach the optimized non-linear conditional probability.

Object Detection

Domain Representation for Knowledge Graph Embedding

no code implementations26 Mar 2019 Cunxiang Wang, Feiliang Ren, Zhichao Lin, Chenxv Zhao, Tian Xie, Yue Zhang

Embedding entities and relations into a continuous multi-dimensional vector space have become the dominant method for knowledge graph embedding in representation learning.

Knowledge Graph Embedding Link Prediction

Semantic Neural Machine Translation using AMR

1 code implementation TACL 2019 Linfeng Song, Daniel Gildea, Yue Zhang, Zhiguo Wang, Jinsong Su

It is intuitive that semantic representations can be useful for machine translation, mainly because they can help in enforcing meaning preservation and handling data sparsity (many sentences correspond to one meaning) of machine translation models.

Machine Translation Translation

Highly Efficient Follicular Segmentation in Thyroid Cytopathological Whole Slide Image

1 code implementation13 Feb 2019 Siyan Tao, Yao Guo, Chuang Zhu, Huang Chen, Yue Zhang, Jie Yang, Jun Liu

In this paper, we propose a novel method for highly efficient follicular segmentation of thyroid cytopathological WSIs.

General Classification

Wider Channel Attention Network for Remote Sensing Image Super-resolution

no code implementations13 Dec 2018 Jun Gu, Guangluan Xu, Yue Zhang, Xian Sun, Ran Wen, Lei Wang

In this letter, we propose a novel single-image super-resolution (SISR) algorithm named Wider Channel Attention Network (WCAN) for remote sensing images.

Image Super-Resolution

SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects

3 code implementations ICCV 2019 Xue Yang, Jirui Yang, Junchi Yan, Yue Zhang, Tengfei Zhang, Zhi Guo, Sun Xian, Kun fu

Specifically, a sampling fusion network is devised which fuses multi-layer feature with effective anchor sampling, to improve the sensitivity to small objects.

Object Detection In Aerial Images

Subword Encoding in Lattice LSTM for Chinese Word Segmentation

1 code implementation NAACL 2019 Jie Yang, Yue Zhang, Shuailong Liang

Previous lattice LSTM model takes word embeddings as the lexicon input, we prove that subword encoding can give the comparable performance and has the benefit of not relying on any external segmentor.

Chinese Word Segmentation Word Embeddings

N-ary Relation Extraction using Graph-State LSTM

no code implementations EMNLP 2018 Linfeng Song, Yue Zhang, Zhiguo Wang, Daniel Gildea

Cross-sentence $n$-ary relation extraction detects relations among $n$ entities across multiple sentences.

Relation Extraction

Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks

no code implementations6 Sep 2018 Linfeng Song, Zhiguo Wang, Mo Yu, Yue Zhang, Radu Florian, Daniel Gildea

Multi-hop reading comprehension focuses on one type of factoid question, where a system needs to properly integrate multiple pieces of evidence to correctly answer a question.

Multi-Hop Reading Comprehension Question Answering

Grassmann Pooling as Compact Homogeneous Bilinear Pooling for Fine-Grained Visual Classification

no code implementations ECCV 2018 Xing Wei, Yue Zhang, Yihong Gong, Jiawei Zhang, Nanning Zheng

The reason is that the bilinear feature matrix is sensitive to the magnitudes and correlations of local CNN feature elements which can be measured by its singular values.

Fine-Grained Image Classification Fine-Grained Visual Recognition