activity
20202024
most citedLasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model

69 citations · 122 across the 17 of their papers we have counts for

collaborators
Showing cs.CLShow all

14 papers · 1 filter

cs.CL2024

Revisiting Structured Sentiment Analysis as Latent Dependency Graph Parsing

Chengjie Zhou, Bobo Li, Hao Fei +3

Structured Sentiment Analysis (SSA) was cast as a problem of bi-lexical dependency graph parsing by prior studies. Multiple formulations have been proposed to construct the graph,…

cs.CL2024

Harvesting Events from Multiple Sources: Towards a Cross-Document Event Extraction Paradigm

Qiang Gao, Zixiang Meng, Bobo Li +4

Document-level event extraction aims to extract structured event information from unstructured text. However, a single document often contains limited event information and the rol…

cs.CL2024

Enhancing Cross-Document Event Coreference Resolution by Discourse Structure and Semantic Information

Qiang Gao, Bobo Li, Zixiang Meng +5

Existing cross-document event coreference resolution models, which either compute mention similarity directly or enhance mention representation by extracting event arguments (such…

cs.CL20241 cited

CMNER: A Chinese Multimodal NER Dataset based on Social Media

Yuanze Ji, Bobo Li, Jun Zhou +3

Multimodal Named Entity Recognition (MNER) is a pivotal task designed to extract named entities from text with the support of pertinent images. Nonetheless, a notable paucity of da…

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.CL202317 cited

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…