69 citations · 174 across the 31 of their papers we have counts for
7 papers · 1 filter
MD: A Multimodal, Multilingual and Multitask Dataset for Grounded Document-level Information Extraction
Jiang Liu, Bobo Li, Xinran Yang +5
Multimodal information extraction (IE) tasks have attracted increasing attention because many studies have shown that multimodal information benefits text information extraction. H…
PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis
Meng Luo, Hao Fei, Bobo Li +6
While existing Aspect-based Sentiment Analysis (ABSA) has received extensive effort and advancement, there are still gaps in defining a more holistic research target seamlessly int…
SpeechEE: A Novel Benchmark for Speech Event Extraction
Bin Wang, Meishan Zhang, Hao Fei +5
Event extraction (EE) is a critical direction in the field of information extraction, laying an important foundation for the construction of structured knowledge bases. EE from tex…
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,…
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…
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…
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…