most citedA Bi-LSTM-RNN Model for Relation Classification Using Low-Cost Sequence Features

20 citations · 31 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2023

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…

cs.CL2023

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…

cs.CL2023

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…

cs.CL20236 cited

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…

cs.CL20235 cited

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…

cs.CL2023

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…