Papers Document-level Event Extraction
“Document-level Event Extraction” 태그가 달린 논문 32편 · 필터 해제
Are Triggers Needed for Document-Level Event Extraction?
Most existing work on event extraction has focused on sentence-level texts and presumes the identification of a trigger-span -- a word or phrase in the input that evokes the occurrence of an event of interest. Event argu…
Document-level Event ExtractionEvent ExtractionSentenceDocument-Level Event Extraction with Definition-Driven ICL
In the field of Natural Language Processing (NLP), Large Language Models (LLMs) have shown great potential in document-level event extraction tasks, but existing methods face challenges in the design of prompts. To addre…
Document-level Event ExtractionEvent ExtractionPrompt EngineeringHarvesting Events from Multiple Sources: Towards a Cross-Document Event Extraction Paradigm
Document-level event extraction aims to extract structured event information from unstructured text. However, a single document often contains limited event information and the roles of different event arguments may be b…
coreference-resolutionCoreference ResolutionDocument-level Event ExtractionEvent ExtractionCMNEE: A Large-Scale Document-Level Event Extraction Dataset based on Open-Source Chinese Military News
Extracting structured event knowledge, including event triggers and corresponding arguments, from military texts is fundamental to many applications, such as intelligence analysis and decision assistance. However, event …
Document-level Event ExtractionEvent ExtractionEvent-Keyed Summarization
We introduce event-keyed summarization (EKS), a novel task that marries traditional summarization and document-level event extraction, with the goal of generating a contextualized summary for a specific event, given a do…
Document-level Event ExtractionEvent ExtractionProbing Representations for Document-level Event Extraction
The probing classifiers framework has been employed for interpreting deep neural network models for a variety of natural language processing (NLP) applications. Studies, however, have largely focused on sentencelevel NLP…
Document-level Event ExtractionEvent ExtractionProbing Language ModelsSentenceType-aware Decoding via Explicitly Aggregating Event Information for Document-level Event Extraction
Document-level event extraction (DEE) faces two main challenges: arguments-scattering and multi-event. Although previous methods attempt to address these challenges, they overlook the interference of event-unrelated sent…
Document-level Event ExtractionEvent DetectionEvent ExtractionToken-Event-Role Structure-based Multi-Channel Document-Level Event Extraction
Document-level event extraction is a long-standing challenging information retrieval problem involving a sequence of sub-tasks: entity extraction, event type judgment, and event type-specific multi-event extraction. Howe…
Document-level Event ExtractionEvent ExtractionInformation RetrievalRetrieval基于框架语义映射和类型感知的篇章事件抽取(Document-Level Event Extraction Based on Frame Semantic Mapping and Type Awareness)
“篇章事件抽取是从给定的文本中识别其事件类型和事件论元。目前篇章事件普遍存在数据稀疏和多值论元耦合的问题。基于此,本文将汉语框架网(CFN)与中文篇章事件建立映射,同时引入滑窗机制和触发词释义改善了事件检测的数据稀疏问题;使用基于类型感知标签的多事件分离策略缓解了论元耦合问题。为了提升模型的鲁棒性,进一步引入对抗训练。本文提出的方法在DuEE-Fin和CCKS2021数据集上实验结果显著优于现有方法。”
Document-level Event ExtractionEvent ExtractionCLIO: Role-interactive Multi-event Head Attention Network for Document-level Event Extraction
Transforming the large amounts of unstructured text on the Internet into structured event knowledge is a critical, yet unsolved goal of NLP, especially when addressing document-level text. Existing methods struggle in Do…
Document-level Event ExtractionEvent ExtractionFew-Shot Document-Level Event Argument Extraction
Event argument extraction (EAE) has been well studied at the sentence level but under-explored at the document level. In this paper, we study to capture event arguments that actually spread across sentences in documents.…
Document-level Event ExtractionEvent Argument ExtractionEvent ExtractionSentenceDocEE: A Large-Scale and Fine-grained Benchmark for Document-level Event Extraction
Event extraction aims to identify an event and then extract the arguments participating in the event. Despite the great success in sentence-level event extraction, events are more naturally presented in the form of docum…
Document-level Event ExtractionEvent ExtractionSentenceRAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction
In document-level event extraction (DEE) task, event arguments always scatter across sentences (across-sentence issue) and multiple events may lie in one document (multi-event issue). In this paper, we argue that the rel…
Document-level Event ExtractionEvent ExtractionMulti-Task LearningRelation+2A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction
Most previous studies aim at extracting events from a single sentence, while document-level event extraction still remains under-explored. In this paper, we focus on extracting event arguments from an entire document, wh…
Abstract Meaning RepresentationDocument-level Event ExtractionEvent Argument ExtractionEvent Extraction+1Document-Level Event Extraction via Human-Like Reading Process
Document-level Event Extraction (DEE) is particularly tricky due to the two challenges it poses: scattering-arguments and multi-events. The first challenge means that arguments of one event record could reside in differe…
Document-level Event ExtractionEvent ExtractionExploiting Coreference and Schema Structure 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 argue that exploiting data characteristics is also important…
Document-level Event ExtractionEvent ExtractionWriting Style Aware Document-level Event Extraction
Event extraction, the technology that aims to automatically get the structural information from documents, has attracted more and more attention in many fields. Most existing works discuss this issue with the token-level…
Document-level Event ExtractionEvent ExtractionMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATIONA Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction
Most previous studies aim at extracting events from a single sentence, while document-level event extraction still remains under-explored. In this paper, we focus on extracting event arguments from an entire document, wh…
Document-level Event ExtractionEvent Argument ExtractionEvent ExtractionSentenceEfficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph
Most previous studies of document-level event extraction mainly focus on building argument chains in an autoregressive way, which achieves a certain success but is inefficient in both training and inference. In contrast …
Document-level Event ExtractionEvent ExtractionGPUDocEE: A Large-Scale and Fine-grained Benchmark for Document-level Event Extraction
Event extraction aims to identify an event and then extract the arguments participating in the event. Despite the great success in sentence-level event extraction, events are more naturally presented in the form of docum…
Document-level Event ExtractionEvent ExtractionSentence