Event Extraction
136 papers with code • 8 benchmarks • 14 datasets
Determine the extent of the events in a text.
Other names: Event Tagging; Event Identification
Benchmarks
These leaderboards are used to track progress in Event Extraction
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Libraries
Use these libraries to find Event Extraction models and implementationsDatasets
GENIA
ACE 2005
SciREX
WikiEvents
ChFinAnn
Title2Event
Phee
EventNarrative
Latest papers
Sample Design Engineering: An Empirical Study of What Makes Good Downstream Fine-Tuning Samples for LLMs
In the burgeoning field of Large Language Models (LLMs) like ChatGPT and LLaMA, Prompt Engineering (PE) is renowned for boosting zero-shot or in-context learning (ICL) through prompt modifications.
CMNEE: A Large-Scale Document-Level Event Extraction Dataset based on Open-Source Chinese Military News
To alleviate this problem, we propose CMNEE, a large-scale, document-level open-source Chinese Military News Event Extraction dataset.
Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models
Then, we incorporate the extracted events into court view generation by merging case facts and events.
Evaluating Generative Language Models in Information Extraction as Subjective Question Correction
(1) The imprecision of existing evaluation metrics that struggle to effectively gauge semantic consistency between model outputs and ground truth, and (2) The inherent incompleteness of evaluation benchmarks, primarily due to restrictive human annotation schemas, resulting in underestimated LLM performances.
Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study
With the advent of large language models (LLMs), there has been growing interest in exploring their potential for medical applications.
Event-Keyed Summarization
wgantt/eks
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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 document and an extracted event structure.
Towards Event Extraction from Speech with Contextual Clues
While text-based event extraction has been an active research area and has seen successful application in many domains, extracting semantic events from speech directly is an under-explored problem.
SEBERTNets: Sequence Enhanced BERT Networks for Event Entity Extraction Tasks Oriented to the Finance Field
hecongqing/CCKS2019_EventEntityExtraction_Rank5
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In addition, motivated by recommendation system, we propose Hybrid Sequence Enhanced BERT Networks (HSEBERTNets for short), which uses a multi-channel recall method to recall all the corresponding event entity.
Beyond Isolation: Multi-Agent Synergy for Improving Knowledge Graph Construction
Knowledge graph construction (KGC) is a multifaceted undertaking involving the extraction of entities, relations, and events.
TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction
ej0cl6/textee
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In this work, we identify and address evaluation challenges, including inconsistency due to varying data assumptions or preprocessing steps, the insufficiency of current evaluation frameworks that may introduce dataset or data split bias, and the low reproducibility of some previous approaches.
