Search Results for author: Haiqin Yang

Found 30 papers, 5 papers with code

HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion Recognition

1 code implementation NAACL 2019 Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu

In this paper, we address three challenges in utterance-level emotion recognition in dialogue systems: (1) the same word can deliver different emotions in different contexts; (2) some emotions are rarely seen in general dialogues; (3) long-range contextual information is hard to be effectively captured.

Emotion Recognition

A Unified One-Step Solution for Aspect Sentiment Quad Prediction

1 code implementation7 Jun 2023 Junxian Zhou, Haiqin Yang, Yuxuan He, Hao Mou, Junbo Yang

Aspect sentiment quad prediction (ASQP) is a challenging yet significant subtask in aspect-based sentiment analysis as it provides a complete aspect-level sentiment structure.

Aspect-Based Sentiment Analysis Sentiment Analysis

A Diffusion Model for Event Skeleton Generation

1 code implementation27 May 2023 Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang

Event skeleton generation, aiming to induce an event schema skeleton graph with abstracted event nodes and their temporal relations from a set of event instance graphs, is a critical step in the temporal complex event schema induction task.

Denoising Graph Generation

D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching

1 code implementation10 Jun 2023 Xuanzhou Liu, Lin Zhang, Jiaqi Sun, Yujiu Yang, Haiqin Yang

Subgraph matching is a fundamental building block for graph-based applications and is challenging due to its high-order combinatorial nature.

Combinatorial Optimization

Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks

1 code implementation23 May 2023 Peng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqin Yang, Bei Yu

Neural architecture search (NAS) for Graph neural networks (GNNs), called NAS-GNNs, has achieved significant performance over manually designed GNN architectures.

Neural Architecture Search

BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition

no code implementations15 Dec 2017 Guangxi Li, Jinmian Ye, Haiqin Yang, Di Chen, Shuicheng Yan, Zenglin Xu

Recently, deep neural networks (DNNs) have been regarded as the state-of-the-art classification methods in a wide range of applications, especially in image classification.

General Classification Image Classification

A deep learning approach for predicting the quality of online health expert question-answering services

no code implementations21 Dec 2016 Ze Hu, Zhan Zhang, Qing Chen, Haiqin Yang, Decheng Zuo

Finally, a deep belief network (DBN)-based HQA answer quality prediction framework is proposed to predict the quality of answers by learning the high-level hidden semantic representation from the physicians' answers.

Question Answering

Efficient Non-oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee

no code implementations6 Dec 2016 Yi Xu, Haiqin Yang, Lijun Zhang, Tianbao Yang

Previously, oblivious random projection based approaches that project high dimensional features onto a random subspace have been used in practice for tackling high-dimensionality challenge in machine learning.

BIG-bench Machine Learning

BERT Meets Chinese Word Segmentation

no code implementations20 Sep 2019 Haiqin Yang

Chinese word segmentation (CWS) is a fundamental task for Chinese language understanding.

Chinese Word Segmentation Segmentation

Hierarchical Context Enhanced Multi-Domain Dialogue System for Multi-domain Task Completion

no code implementations3 Mar 2020 Jingyuan Yang, Guang Liu, Yuzhao Mao, Zhiwei Zhao, Weiguo Gao, Xuan Li, Haiqin Yang, Jianping Shen

Task 1 of the DSTC8-track1 challenge aims to develop an end-to-end multi-domain dialogue system to accomplish complex users' goals under tourist information desk settings.

Sentence

Effective Data-aware Covariance Estimator from Compressed Data

no code implementations10 Oct 2020 Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King

Estimating covariance matrix from massive high-dimensional and distributed data is significant for various real-world applications.

Block-term Tensor Neural Networks

no code implementations10 Oct 2020 Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang, Shandian Zhe, Zenglin Xu

Deep neural networks (DNNs) have achieved outstanding performance in a wide range of applications, e. g., image classification, natural language processing, etc.

Image Classification

Making Online Sketching Hashing Even Faster

no code implementations10 Oct 2020 Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King

Data-dependent hashing methods have demonstrated good performance in various machine learning applications to learn a low-dimensional representation from the original data.

Automatic Intent-Slot Induction for Dialogue Systems

no code implementations16 Mar 2021 Zengfeng Zeng, Dan Ma, Haiqin Yang, Zhen Gou, Jianping Shen

Automatically and accurately identifying user intents and filling the associated slots from their spoken language are critical to the success of dialogue systems.

Intent Detection slot-filling +1

Emotion Dynamics Modeling via BERT

no code implementations15 Apr 2021 Haiqin Yang, Jianping Shen

Emotion dynamics modeling is a significant task in emotion recognition in conversation.

Emotion Recognition in Conversation Representation Learning

PALI at SemEval-2021 Task 2: Fine-Tune XLM-RoBERTa for Word in Context Disambiguation

no code implementations SEMEVAL 2021 Shuyi Xie, Jian Ma, Haiqin Yang, Lianxin Jiang, Yang Mo, Jianping Shen

Second, we construct a new vector on the fine-tuned embeddings from XLM-RoBERTa and feed it to a fully-connected network to output the probability of whether the target word in the context has the same meaning or not.

Data Augmentation TAG +1

Sattiy at SemEval-2021 Task 9: An Ensemble Solution for Statement Verification and Evidence Finding with Tables

no code implementations SEMEVAL 2021 Xiaoyi Ruan, Meizhi Jin, Jian Ma, Haiqin Yang, Lianxin Jiang, Yang Mo, Mengyuan Zhou

Question answering from semi-structured tables can be seen as a semantic parsing task and is significant and practical for pushing the boundary of natural language understanding.

Natural Language Understanding Question Answering +1

RefBERT: Compressing BERT by Referencing to Pre-computed Representations

no code implementations11 Jun 2021 Xinyi Wang, Haiqin Yang, Liang Zhao, Yang Mo, Jianping Shen

Differently, in this paper, we propose RefBERT to leverage the knowledge learned from the teacher, i. e., facilitating the pre-computed BERT representation on the reference sample and compressing BERT into a smaller student model.

Knowledge Distillation

Progressive Open-Domain Response Generation with Multiple Controllable Attributes

no code implementations7 Jun 2021 Haiqin Yang, Xiaoyuan Yao, Yiqun Duan, Jianping Shen, Jie Zhong, Kun Zhang

More specifically, PHED deploys Conditional Variational AutoEncoder (CVAE) on Transformer to include one aspect of attributes at one stage.

Attribute Response Generation

Sequential Attention Module for Natural Language Processing

no code implementations7 Sep 2021 Mengyuan Zhou, Jian Ma, Haiqin Yang, Lianxin Jiang, Yang Mo

In this paper, we target at how to further improve the token representations on the language models.

Language Modelling Sentiment Analysis

Vision-and-Language Pretrained Models: A Survey

no code implementations15 Apr 2022 Siqu Long, Feiqi Cao, Soyeon Caren Han, Haiqin Yang

Pretrained models have produced great success in both Computer Vision (CV) and Natural Language Processing (NLP).

Trigger-free Event Detection via Derangement Reading Comprehension

no code implementations20 Aug 2022 Jiachen Zhao, Haiqin Yang

Event detection (ED), aiming to detect events from texts and categorize them, is vital to understanding actual happenings in real life.

Event Detection Machine Reading Comprehension +1

Towards Effective Collaborative Learning in Long-Tailed Recognition

no code implementations5 May 2023 Zhengzhuo Xu, Zenghao Chai, Chengyin Xu, Chun Yuan, Haiqin Yang

In this paper, we observe that the knowledge transfer between experts is imbalanced in terms of class distribution, which results in limited performance improvement of the minority classes.

Transfer Learning

Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey

no code implementations27 Oct 2023 Weixu Zhang, Yifei Wang, Yuanfeng Song, Victor Junqiu Wei, Yuxing Tian, Yiyan Qi, Jonathan H. Chan, Raymond Chi-Wing Wong, Haiqin Yang

This survey presents a comprehensive overview of natural language interfaces for tabular data querying and visualization, which allow users to interact with data using natural language queries.

Data Interaction Data Visualization +3

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