Document-level Event Extraction

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

17 shown of 17 papers with code (32 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Are Triggers Needed for Document-Level Event Extraction?
  13 Nov 2024 2 repositories listed
  Our research shows that trigger effectiveness varies based on the extraction task's characteristics and data quality, with basic, automatically-generated triggers serving as a viable alternative to human-annotated ones.
• Document-level Event Extraction via Parallel Prediction Networks
  1 Aug 2021 2 repositories listed
  We argue that sentence-level extractors are ill-suited to the DEE task where event arguments always scatter across sentences and multiple events may co-exist in a document.
• Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker
  31 May 2021 2 repositories listed
  Existing methods are not effective due to two challenges of this task: a) the target event arguments are scattered across sentences; b) the correlation among events in a document is non-trivial to model.
• Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
  16 Apr 2019 2 repositories listed
  Most existing event extraction (EE) methods merely extract event arguments within the sentence scope.
• Harvesting Events from Multiple Sources: Towards a Cross-Document Event Extraction Paradigm
  23 Jun 2024 1 repository listed
  Document-level event extraction aims to extract structured event information from unstructured text.
• CMNEE: A Large-Scale Document-Level Event Extraction Dataset based on Open-Source Chinese Military News
  18 Apr 2024 1 repository listed
  To alleviate this problem, we propose CMNEE, a large-scale, document-level open-source Chinese Military News Event Extraction dataset.
• Event-Keyed Summarization
  10 Feb 2024 1 repository listed
  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…
• Probing Representations for Document-level Event Extraction
  23 Oct 2023 1 repository listed
  This work is the first to apply the probing paradigm to representations learned for document-level information extraction (IE).
• Few-Shot Document-Level Event Argument Extraction
  6 Sep 2022 1 repository listed
  To fill this gap, we present FewDocAE, a Few-Shot Document-Level Event Argument Extraction benchmark, based on the existing document-level event extraction dataset.
• DocEE: A Large-Scale and Fine-grained Benchmark for Document-level Event Extraction
  1 Jul 2022 1 repository listed
  Event extraction aims to identify an event and then extract the arguments participating in the event.
• RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction
  7 Jun 2022 1 repository listed
  To further leverage relation information, we introduce a separate event relation prediction task and adopt multi-task learning method to explicitly enhance event extraction performance.
• A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction
  30 Apr 2022 1 repository listed
  In this paper, we focus on extracting event arguments from an entire document, which mainly faces two critical problems: a) the long-distance dependency between trigger and arguments over sentences; b) the distracting…
• Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph
  11 Dec 2021 1 repository listed
  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.
• Exploiting Data Characteristics for Document-level Event Extraction
  16 Nov 2021 1 repository listed
  Document-level event extraction (DEE) extracts structured information of events from a document.
• An Effective System for Multi-format Information Extraction
  16 Aug 2021 1 repository listed
  Finally, our system ranks No.
• Document-Level Event Argument Extraction by Conditional Generation
  13 Apr 2021 1 repository listed Syntology ran 0 of 11 samples · 11 unverified
  On the task of argument extraction, we achieve an absolute gain of 7.
• Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding
  13 May 2020 1 repository listed
  Few works in the literature of event extraction have gone beyond individual sentences to make extraction decisions.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.