Search Results for author: Rui Xia

Found 55 papers, 27 papers with code

Generative Cross-Domain Data Augmentation for Aspect and Opinion Co-Extraction

1 code implementation NAACL 2022 Junjie Li, Jianfei Yu, Rui Xia

As a fundamental task in opinion mining, aspect and opinion co-extraction aims to identify the aspect terms and opinion terms in reviews.

Data Augmentation Opinion Mining +2

End-to-End Emotion-Cause Pair Extraction based on Sliding Window Multi-Label Learning

1 code implementation EMNLP 2020 Zixiang Ding, Rui Xia, Jianfei Yu

To tackle these shortcomings, we propose two joint frameworks for ECPE: 1) multi-label learning for the extraction of the cause clauses corresponding to the specified emotion clause (CMLL) and 2) multi-label learning for the extraction of the emotion clauses corresponding to the specified cause clause (EMLL).

Emotion-Cause Pair Extraction Multi-Label Learning

A State-independent and Time-evolving Network for Early Rumor Detection in Social Media

no code implementations EMNLP 2020 Rui Xia, Kaizhou Xuan, Jianfei Yu

To address this limitation, we propose a state-independent and time-evolving Network (STN) for rumor detection based on fine-grained event state detection and segmentation.

Comparative Opinion Quintuple Extraction from Product Reviews

1 code implementation EMNLP 2021 Ziheng Liu, Rui Xia, Jianfei Yu

To address these limitations, in this work we first introduce a new Comparative Opinion Quintuple Extraction (COQE) task, to identify comparative sentences from product reviews and extract all comparative opinion quintuples (Subject, Object, Comparative Aspect, Comparative Opinion, Comparative Preference).

Opinion Mining

Coupled Hierarchical Transformer for Stance-Aware Rumor Verification in Social Media Conversations

no code implementations EMNLP 2020 Jianfei Yu, Jing Jiang, Ling Min Serena Khoo, Hai Leong Chieu, Rui Xia

The prevalent use of social media enables rapid spread of rumors on a massive scale, which leads to the emerging need of automatic rumor verification (RV).

Multi-Task Learning Stance Classification

Reinforced Counterfactual Data Augmentation for Dual Sentiment Classification

1 code implementation EMNLP 2021 Hao Chen, Rui Xia, Jianfei Yu

Data augmentation and adversarial perturbation approaches have recently achieved promising results in solving the over-fitting problem in many natural language processing (NLP) tasks including sentiment classification.

Classification counterfactual +4

DPPA: Pruning Method for Large Language Model to Model Merging

1 code implementation5 Mar 2024 Yaochen Zhu, Rui Xia, Jiajun Zhang

In this paper, we introduce a dual-stage method termed Dynamic Pruning Partition Amplification (DPPA), devised to tackle the challenge of merging complex fine-tuned models.

Language Modelling Large Language Model

VCD: Knowledge Base Guided Visual Commonsense Discovery in Images

no code implementations27 Feb 2024 Xiangqing Shen, Yurun Song, Siwei Wu, Rui Xia

In this work, we draw inspiration from a commonsense knowledge base ConceptNet in natural language processing, and systematically define the types of visual commonsense.

Decision Making Language Modelling +2

Generative AI for Math: Part I -- MathPile: A Billion-Token-Scale Pretraining Corpus for Math

1 code implementation28 Dec 2023 Zengzhi Wang, Rui Xia, PengFei Liu

Our meticulous data collection and processing efforts included a complex suite of preprocessing, prefiltering, language identification, cleaning, filtering, and deduplication, ensuring the high quality of our corpus.

Language Identification Math +1

Audio Prompt Tuning for Universal Sound Separation

1 code implementation30 Nov 2023 Yuzhuo Liu, Xubo Liu, Yan Zhao, Yuanyuan Wang, Rui Xia, Pingchuan Tain, Yuxuan Wang

Specifically, APT improves the separation performance of specific sources through training a small number of prompt parameters with limited audio samples, while maintaining the generalization of the USS model by keeping its parameters frozen.

In-Context Learning for Knowledge Base Question Answering for Unmanned Systems based on Large Language Models

no code implementations6 Nov 2023 Yunlong Chen, Yaming Zhang, Jianfei Yu, Li Yang, Rui Xia

However, generating the most appropriate knowledge base query code based on Natural Language Questions (NLQ) poses a significant challenge in KBQA.

In-Context Learning Knowledge Base Question Answering +1

A New Dialogue Response Generation Agent for Large Language Models by Asking Questions to Detect User's Intentions

no code implementations5 Oct 2023 Siwei Wu, Xiangqing Shen, Rui Xia

Firstly, EDIT generates open questions related to the dialogue context as the potential user's intention; Then, EDIT answers those questions by interacting with LLMs and searching in domain-specific knowledge bases respectively, and use LLMs to choose the proper answers to questions as extra knowledge; Finally, EDIT enhances response generation by explicitly integrating those extra knowledge.

Question Generation Question-Generation +1

Ask Again, Then Fail: Large Language Models' Vacillations in Judgement

1 code implementation3 Oct 2023 Qiming Xie, Zengzhi Wang, Yi Feng, Rui Xia

We observe that current conversational language models often waver in their judgements when faced with follow-up questions, even if the original judgement was correct.

Negation

On-the-Fly SfM: What you capture is What you get

1 code implementation21 Sep 2023 Zongqian Zhan, Rui Xia, Yifei Yu, Yibo Xu, Xin Wang

Over the last decades, ample achievements have been made on Structure from motion (SfM).

Image Registration Image Retrieval +1

Separate Anything You Describe

1 code implementation9 Aug 2023 Xubo Liu, Qiuqiang Kong, Yan Zhao, Haohe Liu, Yi Yuan, Yuzhuo Liu, Rui Xia, Yuxuan Wang, Mark D. Plumbley, Wenwu Wang

In this work, we introduce AudioSep, a foundation model for open-domain audio source separation with natural language queries.

Audio Source Separation Natural Language Queries +2

MEMD-ABSA: A Multi-Element Multi-Domain Dataset for Aspect-Based Sentiment Analysis

1 code implementation29 Jun 2023 Hongjie Cai, Nan Song, Zengzhi Wang, Qiming Xie, Qiankun Zhao, Ke Li, Siwei Wu, Shijie Liu, Jianfei Yu, Rui Xia

Aspect-based sentiment analysis is a long-standing research interest in the field of opinion mining, and in recent years, researchers have gradually shifted their focus from simple ABSA subtasks to end-to-end multi-element ABSA tasks.

Aspect-Based Sentiment Analysis Opinion Mining +1

SaDI: A Self-adaptive Decomposed Interpretable Framework for Electric Load Forecasting under Extreme Events

no code implementations14 Jun 2023 Hengbo Liu, Ziqing Ma, Linxiao Yang, Tian Zhou, Rui Xia, Yi Wang, Qingsong Wen, Liang Sun

In this paper, we propose a novel forecasting framework, named Self-adaptive Decomposed Interpretable framework~(SaDI), which ensembles long-term trend, short-term trend, and period modelings to capture temporal characteristics in different components.

Load Forecasting Management

Commonsense Knowledge Graph Completion Via Contrastive Pretraining and Node Clustering

1 code implementation26 May 2023 Siwei Wu, Xiangqing Shen, Rui Xia

To address the two problems, we propose a new CSKG completion framework based on Contrastive Pretraining and Node Clustering (CPNC).

Clustering Contrastive Learning +3

Language-Universal Phonetic Representation in Multilingual Speech Pretraining for Low-Resource Speech Recognition

no code implementations19 May 2023 Siyuan Feng, Ming Tu, Rui Xia, Chuanzeng Huang, Yuxuan Wang

Moreover, on 3 of the 4 languages, comparing to the standard HuBERT, the approach performs better, meanwhile is able to save supervised training data by 1. 5k hours (75%) at most.

Self-Supervised Learning speech-recognition +1

Language-universal phonetic encoder for low-resource speech recognition

no code implementations19 May 2023 Siyuan Feng, Ming Tu, Rui Xia, Chuanzeng Huang, Yuxuan Wang

Our main approach and adaptation are effective on extremely low-resource languages, even within domain- and language-mismatched scenarios.

Decoder speech-recognition +1

Personality-aware Human-centric Multimodal Reasoning: A New Task, Dataset and Baselines

no code implementations5 Apr 2023 Yaochen Zhu, Xiangqing Shen, Rui Xia

For another, the multimodal reasoning task emphasized the prediction of future states and behaviors but often neglected the incorporation of individual personality traits.

Decision Making Multimodal Reasoning

Dense-ATOMIC: Towards Densely-connected ATOMIC with High Knowledge Coverage and Massive Multi-hop Paths

1 code implementation14 Oct 2022 Xiangqing Shen, Siwei Wu, Rui Xia

Both automatic and human evaluation on an annotated subgraph of ATOMIC demonstrate the advantage of Rel-CSKGC over strong baselines.

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.

Sentence Sentiment Analysis

Deep Transformers Thirst for Comprehensive-Frequency Data

1 code implementation14 Mar 2022 Rui Xia, Chao Xue, Boyu Deng, Fang Wang, JingChao Wang

We study an NLP model called LSRA, which introduces IB with a pyramid-free structure.

Inductive Bias

Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions

1 code implementation ACL 2021 Hongjie Cai, Rui Xia, Jianfei Yu

In this work, we introduce a new task, named Aspect-Category-Opinion-Sentiment (ACOS) Quadruple Extraction, with the goal to extract all aspect-category-opinion-sentiment quadruples in a review sentence and provide full support for aspect-based sentiment analysis with implicit aspects and opinions.

Aspect-Based Sentiment Analysis Aspect-Category-Opinion-Sentiment Quadruple Extraction +1

Aspect-Category based Sentiment Analysis with Hierarchical Graph Convolutional Network

no code implementations COLING 2020 Hongjie Cai, Yaofeng Tu, Xiangsheng Zhou, Jianfei Yu, Rui Xia

In this work, we re-formalize the task as a category-sentiment hierarchy prediction problem, which contains a hierarchy output structure to first identify multiple aspect categories in a piece of text, and then predict the sentiment for each of the identified categories.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +2

Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction

3 code implementations Findings of the Association for Computational Linguistics 2020 Zhen Wu, Chengcan Ying, Fei Zhao, Zhifang Fan, Xinyu Dai, Rui Xia

To validate the feasibility and compatibility of GTS, we implement three different GTS models respectively based on CNN, BiLSTM, and BERT, and conduct experiments on the aspect-oriented opinion pair extraction and opinion triplet extraction datasets.

Aspect-Sentiment-Opinion Triplet Extraction Aspect Sentiment Triplet Extraction

Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer

1 code implementation ACL 2020 Jianfei Yu, Jing Jiang, Li Yang, Rui Xia

To tackle the first issue, we propose a multimodal interaction module to obtain both image-aware word representations and word-aware visual representations.

Multi-modal Named Entity Recognition named-entity-recognition +1

Noise Robust TTS for Low Resource Speakers using Pre-trained Model and Speech Enhancement

no code implementations26 May 2020 Dongyang Dai, Li Chen, Yu-Ping Wang, Mu Wang, Rui Xia, Xuchen Song, Zhiyong Wu, Yuxuan Wang

Firstly, the speech synthesis model is pre-trained with both multi-speaker clean data and noisy augmented data; then the pre-trained model is adapted on noisy low-resource new speaker data; finally, by setting the clean speech condition, the model can synthesize the new speaker's clean voice.

Decoder Speech Enhancement +1

From Independent Prediction to Re-ordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification

1 code implementation4 Jun 2019 Zixiang Ding, Huihui He, Mengran Zhang, Rui Xia

We introduce a relative position augmented embedding learning algorithm, and transform the task from an independent prediction problem to a reordered prediction problem, where the dynamic global label information is incorporated.

Emotion Cause Extraction Position

RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction

3 code implementations4 Jun 2019 Rui Xia, Mengran Zhang, Zixiang Ding

The emotion cause extraction (ECE) task aims at discovering the potential causes behind a certain emotion expression in a document.

Emotion Cause Extraction

Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts

4 code implementations ACL 2019 Rui Xia, Zixiang Ding

Emotion cause extraction (ECE), the task aimed at extracting the potential causes behind certain emotions in text, has gained much attention in recent years due to its wide applications.

Emotion Cause Extraction Emotion-Cause Pair Extraction +1

A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments

no code implementations15 Mar 2019 Rui Xia, Vincent Y. F. Tan, Louis Filstroff, Cédric Févotte

We propose a novel ranking model that combines the Bradley-Terry-Luce probability model with a nonnegative matrix factorization framework to model and uncover the presence of latent variables that influence the performance of top tennis players.

Global Inference for Aspect and Opinion Terms Co-Extraction Based on Multi-Task Neural Networks

no code implementations IEEE 2018 Jianfei Yu, Jing Jiang, Rui Xia

However, most existing methods fail to explicitly consider the syntactic relations among aspect terms and opinion terms, which may lead to the inconsistencies between the model predictions and the syntactic constraints.

Aspect Term Extraction and Sentiment Classification Multi-Task Learning +2

Collaborative Filtering with Topic and Social Latent Factors Incorporating Implicit Feedback

no code implementations26 Mar 2018 Guang-Neng Hu, Xin-yu Dai, Feng-Yu Qiu, Rui Xia, Tao Li, Shu-Jian Huang, Jia-Jun Chen

First, we propose a novel model {\em \mbox{MR3}} to jointly model three sources of information (i. e., ratings, item reviews, and social relations) effectively for rating prediction by aligning the latent factors and hidden topics.

Collaborative Filtering Recommendation Systems

Densely Connected Bidirectional LSTM with Applications to Sentence Classification

2 code implementations3 Feb 2018 Zixiang Ding, Rui Xia, Jianfei Yu, Xiang Li, Jian Yang

Deep neural networks have recently been shown to achieve highly competitive performance in many computer vision tasks due to their abilities of exploring in a much larger hypothesis space.

Classification General Classification +2

Online shopping behavior study based on multi-granularity opinion mining: China vs. America

no code implementations26 Mar 2016 Qingqing Zhou, Rui Xia, Chengzhi Zhang

Second, international customer behavior study is made easier by integrating tools for multilingual opinion mining.

Opinion Mining Question Generation +1

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