Event Coreference Resolution
29 papers with code • 1 benchmarks • 3 datasets
Most implemented papers
Paraphrasing vs Coreferring: Two Sides of the Same Coin
We study the potential synergy between two different NLP tasks, both confronting predicate lexical variability: identifying predicate paraphrases, and event coreference resolution.
CDLM: Cross-Document Language Modeling
We introduce a new pretraining approach geared for multi-document language modeling, incorporating two key ideas into the masked language modeling self-supervised objective.
WEC: Deriving a Large-scale Cross-document Event Coreference dataset from Wikipedia
To complement these resources and enhance future research, we present Wikipedia Event Coreference (WEC), an efficient methodology for gathering a large-scale dataset for cross-document event coreference from Wikipedia, where coreference links are not restricted within predefined topics.
TAMU at KBP 2017: Event Nugget Detection and Coreference Resolution
Our simple system designed using minimal features achieved the micro-average F1 scores of 57. 72, 44. 27 and 42. 47 for event span detection, type identification and realis status classification tasks respectively.
Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization
This work provides insight and motivating results for a new general approach to solving coreference and clustering problems with representation learning.
Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution
Our analysis confirms that all our representation elements, including the mention span itself, its context, and the relation to other mentions contribute to the model's success.
End-to-End Neural Event Coreference Resolution
Traditional event coreference systems usually rely on pipeline framework and hand-crafted features, which often face error propagation problem and have poor generalization ability.
Generalizing Cross-Document Event Coreference Resolution Across Multiple Corpora
This raises strong concerns on their generalizability -- a must-have for downstream applications where the magnitude of domains or event mentions is likely to exceed those found in a curated corpus.
Automatic Data Acquisition for Event Coreference Resolution
We propose to leverage lexical paraphrases and high precision rules informed by news discourse structure to automatically collect coreferential and non-coreferential event pairs from unlabeled English news articles.
A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution
Event coreference resolution is an important research problem with many applications.