Papers Document-level Event Extraction
“Document-level Event Extraction” 태그가 달린 논문 32편 · 필터 해제
Exploiting Data Characteristics for Document-level Event Extraction
Document-level event extraction (DEE) extracts structured information of events from a document. Previous studies focus on improving the model architecture. We propose to exploit data characteristics: 1) we utilize more …
Document-level Event ExtractionEvent ExtractionTowards Focused and Connected Document-Level Event Extraction
Document-level event extraction (DEE) is indispensable when events are naturally described in the form of a document. Although previous methods have made great success on DEE, they are limited by two bottlenecks: losing …
Document-level Event ExtractionEvent ExtractionExploring Sentence Community for Document-Level Event Extraction
Document-level event extraction is critical to various natural language processing tasks for providing structured information. Existing approaches by sequential modeling neglect the complex logic structures for long text…
Community DetectionDocument-level Event ExtractionEvent ExtractionGraph Attention+1DocEE: A Large-Scale Dataset for Document-level Event Extraction
Event extraction (EE) is the task of identifying events and their types, along with the involved arguments. Despite the great success in sentence-level event extraction, events are more naturally presented in the form of…
Document-level Event ExtractionEvent ExtractionSentenceAn Effective System for Multi-format Information Extraction
The multi-format information extraction task in the 2021 Language and Intelligence Challenge is designed to comprehensively evaluate information extraction from different dimensions. It consists of an multiple slots rela…
DecoderDocument-level Event ExtractionEvent ExtractionMulti-Task Learning+4Document-level Event Extraction via Parallel Prediction Networks
Document-level event extraction (DEE) is indispensable when events are described throughout a document. We argue that sentence-level extractors are ill-suited to the DEE task where event arguments always scatter across s…
DecoderDocument-level Event ExtractionEvent Extractionglobal-optimization+2Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker
Document-level event extraction aims to recognize event information from a whole piece of article. Existing methods are not effective due to two challenges of this task: a) the target event arguments are scattered across…
Document-level Event ExtractionEvent ExtractionDocument-Level Event Argument Extraction by Conditional Generation
Event extraction has long been treated as a sentence-level task in the IE community. We argue that this setting does not match human information-seeking behavior and leads to incomplete and uninformative extraction resul…
Document-level Event ExtractionEvent Argument ExtractionEvent ExtractionSentence+1Document-level Event Extraction with Efficient End-to-end Learning of Cross-event Dependencies
Fully understanding narratives often requires identifying events in the context of whole documents and modeling the event relations. However, document-level event extraction is a challenging task as it requires the extra…
Computational EfficiencyDocument-level Event ExtractionEvent ExtractionInformation Retrieval+3基于BERT的端到端中文篇章事件抽取(A BERT-based End-to-End Model for Chinese Document-level Event Extraction)
篇章级事件抽取研究从整篇文档中检测事件,识别出事件包含的元素并赋予每个元素特定的角色。本文针对限定领域的中文文档提出了基于BERT的端到端模型,在模型的元素和角色识别中依次引入前序层输出的事件类型以及实体嵌入表示,增强文本的事件、元素和角色关联表示,提高篇章中各事件所属元素的识别精度。在此基础上利用标题信息和事件五元组的嵌入式表示,实现主从事件的划分及元素融合。实验证明本文的方法与现有工作相比具有明显的提升。
Document-level Event ExtractionEvent ExtractionDocument-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding
Few works in the literature of event extraction have gone beyond individual sentences to make extraction decisions. This is problematic when the information needed to recognize an event argument is spread across multiple…
Document-level Event ExtractionEvent ExtractionLanguage ModelingLanguage Modelling+1Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
Most existing event extraction (EE) methods merely extract event arguments within the sentence scope. However, such sentence-level EE methods struggle to handle soaring amounts of documents from emerging applications, su…
Document-level Event ExtractionEvent ExtractionSentence