85 citations · 333 across the 29 of their papers we have counts for
29 papers
Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition
Bobo Li, Hao Fei, Lizi Liao +5
It has been a hot research topic to enable machines to understand human emotions in multimodal contexts under dialogue scenarios, which is tasked with multimodal emotion analysis i…
DialogRE^C+: An Extension of DialogRE to Investigate How Much Coreference Helps Relation Extraction in Dialogs
Yiyun Xiong, Mengwei Dai, Fei Li +5
Dialogue relation extraction (DRE) that identifies the relations between argument pairs in dialogue text, suffers much from the frequent occurrence of personal pronouns, or entity…
A Bi-directional Multi-hop Inference Model for Joint Dialog Sentiment Classification and Act Recognition
Li Zheng, Fei Li, Yuyang Chai +2
The joint task of Dialog Sentiment Classification (DSC) and Act Recognition (DAR) aims to predict the sentiment label and act label for each utterance in a dialog simultaneously. H…
Revisiting Conversation Discourse for Dialogue Disentanglement
Bobo Li, Hao Fei, Fei Li +5
Dialogue disentanglement aims to detach the chronologically ordered utterances into several independent sessions. Conversation utterances are essentially organized and described by…
TKDP: Threefold Knowledge-enriched Deep Prompt Tuning for Few-shot Named Entity Recognition
Jiang Liu, Hao Fei, Fei Li +5
Few-shot named entity recognition (NER) exploits limited annotated instances to identify named mentions. Effectively transferring the internal or external resources thus becomes th…
ECQED: Emotion-Cause Quadruple Extraction in Dialogs
Li Zheng, Donghong Ji, Fei Li +5
The existing emotion-cause pair extraction (ECPE) task, unfortunately, ignores extracting the emotion type and cause type, while these fine-grained meta-information can be practica…
FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing
Zhuang Li, Yuyang Chai, Terry Yue Zhuo +5
Textual scene graph parsing has become increasingly important in various vision-language applications, including image caption evaluation and image retrieval. However, existing sce…
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training
Hao Fei, Tat-Seng Chua, Chenliang Li +3
Aspect-based sentiment analysis (ABSA) aims at automatically inferring the specific sentiment polarities toward certain aspects of products or services behind the social media text…
DiaASQ : A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis
Bobo Li, Hao Fei, Fei Li +8
The rapid development of aspect-based sentiment analysis (ABSA) within recent decades shows great potential for real-world society. The current ABSA works, however, are mostly limi…
TOE: A Grid-Tagging Discontinuous NER Model Enhanced by Embedding Tag/Word Relations and More Fine-Grained Tags
Jiang Liu, Donghong Ji, Jingye Li +4
So far, discontinuous named entity recognition (NER) has received increasing research attention and many related methods have surged such as hypergraph-based methods, span-based me…
Entity-centered Cross-document Relation Extraction
Fengqi Wang, Fei Li, Hao Fei +6
Relation Extraction (RE) is a fundamental task of information extraction, which has attracted a large amount of research attention. Previous studies focus on extracting the relatio…
Conversational Semantic Role Labeling with Predicate-Oriented Latent Graph
Hao Fei, Shengqiong Wu, Meishan Zhang +2
Conversational semantic role labeling (CSRL) is a newly proposed task that uncovers the shallow semantic structures in a dialogue text. Unfortunately several important characterist…
Joint Alignment of Multi-Task Feature and Label Spaces for Emotion Cause Pair Extraction
Shunjie Chen, Xiaochuan Shi, Jingye Li +4
Emotion cause pair extraction (ECPE), as one of the derived subtasks of emotion cause analysis (ECA), shares rich inter-related features with emotion extraction (EE) and cause extr…
OneEE: A One-Stage Framework for Fast Overlapping and Nested Event Extraction
Hu Cao, Jingye Li, Fangfang Su +6
Event extraction (EE) is an essential task of information extraction, which aims to extract structured event information from unstructured text. Most prior work focuses on extracti…
Effective Token Graph Modeling using a Novel Labeling Strategy for Structured Sentiment Analysis
Wenxuan Shi, Fei Li, Jingye Li +2
The state-of-the-art model for structured sentiment analysis casts the task as a dependency parsing problem, which has some limitations: (1) The label proportions for span predicti…
Unified Named Entity Recognition as Word-Word Relation Classification
Jingye Li, Hao Fei, Jiang Liu +5
So far, named entity recognition (NER) has been involved with three major types, including flat, overlapped (aka. nested), and discontinuous NER, which have mostly been studied ind…
Mastering the Explicit Opinion-role Interaction: Syntax-aided Neural Transition System for Unified Opinion Role Labeling
Shengqiong Wu, Hao Fei, Fei Li +4
Unified opinion role labeling (ORL) aims to detect all possible opinion structures of 'opinion-holder-target' in one shot, given a text. The existing transition-based unified metho…
A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition
Fei Li, Zhichao Lin, Meishan Zhang +1
Research on overlapped and discontinuous named entity recognition (NER) has received increasing attention. The majority of previous work focuses on either overlapped or discontinuo…
Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extractionwith Rich Syntactic Knowledge
Shengqiong Wu, Hao Fei, Yafeng Ren +2
In this paper, we propose to enhance the pair-wise aspect and opinion terms extraction (PAOTE) task by incorporating rich syntactic knowledge. We first build a syntax fusion encode…
End-to-end Semantic Role Labeling with Neural Transition-based Model
Hao Fei, Meishan Zhang, Bobo Li +1
End-to-end semantic role labeling (SRL) has been received increasing interest. It performs the two subtasks of SRL: predicate identification and argument role labeling, jointly. Re…
Aggressive Language Detection with Joint Text Normalization via Adversarial Multi-task Learning
Shengqiong Wu, Hao Fei, Donghong Ji
Aggressive language detection (ALD), detecting the abusive and offensive language in texts, is one of the crucial applications in NLP community. Most existing works treat ALD as re…
Nominal Compound Chain Extraction: A New Task for Semantic-enriched Lexical Chain
Bobo Li, Hao Fei, Yafeng Ren +1
Lexical chain consists of cohesion words in a document, which implies the underlying structure of a text, and thus facilitates downstream NLP tasks. Nevertheless, existing work foc…
Mimic and Conquer: Heterogeneous Tree Structure Distillation for Syntactic NLP
Hao Fei, Yafeng Ren, Donghong Ji
Syntax has been shown useful for various NLP tasks, while existing work mostly encodes singleton syntactic tree using one hierarchical neural network. In this paper, we investigate…
Retrofitting Structure-aware Transformer Language Model for End Tasks
Hao Fei, Yafeng Ren, Donghong Ji
We consider retrofitting structure-aware Transformer-based language model for facilitating end tasks by proposing to exploit syntactic distance to encode both the phrasal constitue…