Papers Zero-shot Event Extraction
“Zero-shot Event Extraction” 태그가 달린 논문 11편 · 필터 해제
LEMONADE: A Large Multilingual Expert-Annotated Abstractive Event Dataset for the Real World
This paper presents LEMONADE, a large-scale conflict event dataset comprising 39,786 events across 20 languages and 171 countries, with extensive coverage of region-specific entities. LEMONADE is based on a partially rea…
document understandingEntity LinkingEvent ExtractionZero-shot Event ExtractionGoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
Large Language Models (LLMs) combined with instruction tuning have made significant progress when generalizing to unseen tasks. However, they have been less successful in Information Extraction (IE), lagging behind task-…
Event Argument ExtractionEvent ExtractionLanguage ModelingLanguage Modelling+7A Monte Carlo Language Model Pipeline for Zero-Shot Sociopolitical Event Extraction
Current social science efforts automatically populate event databases of "who did what to whom?" tuples, by applying event extraction (EE) to text such as news. The event databases are used to analyze sociopolitical dyna…
Computational EfficiencyEvent ExtractionInstruction FollowingLanguage Modeling+3Massively Multi-Lingual Event Understanding: Extraction, Visualization, and Search
In this paper, we present ISI-Clear, a state-of-the-art, cross-lingual, zero-shot event extraction system and accompanying user interface for event visualization & search. Using only English training data, ISI-Clear make…
Event ExtractionNatural Language QueriesZero-shot Event ExtractionEfficient Zero-shot Event Extraction with Context-Definition Alignment
Event extraction (EE) is the task of identifying interested event mentions from text. Conventional efforts mainly focus on the supervised setting. However, these supervised models cannot generalize to event types out of …
Contrastive LearningEvent ExtractionSentenceZero-shot Event ExtractionImproving Zero-Shot Event Extraction via Sentence Simplification
The success of sites such as ACLED and Our World in Data have demonstrated the massive utility of extracting events in structured formats from large volumes of textual data in the form of news, social media, blogs and di…
Event Argument ExtractionEvent ExtractionExtractive Question-AnsweringMachine Reading Comprehension+4Hybrid Semantic Type Representation for Zero-Shot Event Extraction
Event extraction is a significant task in natural language processing. However, it is labor-intensive to get annotation when generalizing to new event types and ontologies. In this paper, we propose the HTR (Hybrid Typ…
Event ExtractionHTRVocal Bursts Type PredictionZero-shot Event ExtractionQuery and Extract: Refining Event Extraction as Type-oriented Binary Decoding
Event extraction is typically modeled as a multi-class classification problem where both event types and argument roles are treated as atomic symbols. These approaches are usually limited to a set of pre-defined types. W…
Event ExtractionMulti-class ClassificationNatural Language QueriesVocal Bursts Type Prediction+1Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding
Event extraction is typically modeled as a multi-class classification problem where event types and argument roles are treated as atomic symbols. These approaches are usually limited to a set of pre-defined types. We pro…
Event ExtractionMulti-class ClassificationNatural Language QueriesVocal Bursts Type Prediction+1Zero-shot Event Extraction via Transfer Learning: Challenges and Insights
Event extraction has long been a challenging task, addressed mostly with supervised methods that require expensive annotation and are not extensible to new event ontologies. In this work, we explore the possibility of ze…
Event ExtractionNatural Language InferenceQuestion AnsweringTransfer Learning+1Document-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+1