37 citations · 73 across the 29 of their papers we have counts for
7 papers · 1 filter
Reverse Multi-Choice Dialogue Commonsense Inference with Graph-of-Thought
Li Zheng, Hao Fei, Fei Li +4
With the proliferation of dialogic data across the Internet, the Dialogue Commonsense Multi-choice Question Answering (DC-MCQ) task has emerged as a response to the challenge of co…
Compositional Generalization for Multi-label Text Classification: A Data-Augmentation Approach
Yuyang Chai, Zhuang Li, Jiahui Liu +4
Despite significant advancements in multi-label text classification, the ability of existing models to generalize to novel and seldom-encountered complex concepts, which are compos…
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…
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…