5 papers · 1 filter
Cross-Document Cross-Lingual NLI via RST-Enhanced Graph Fusion and Interpretability Prediction
Mengying Yuan, Wenhao Wang, Zixuan Wang +5
Natural Language Inference (NLI) is a fundamental task in natural language processing. While NLI has developed many sub-directions such as sentence-level NLI, document-level NLI an…
Generative Sentiment Analysis via Latent Category Distribution and Constrained Decoding
Jun Zhou, Dongyang Yu, Kamran Aziz +4
Fine-grained sentiment analysis involves extracting and organizing sentiment elements from textual data. However, existing approaches often overlook issues of category semantic inc…
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…