coreference-resolution
209 papers with code • 1 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in coreference-resolution
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Most implemented papers
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
We introduce a new benchmark, WinoBias, for coreference resolution focused on gender bias.
Gender Bias in Coreference Resolution
We present an empirical study of gender bias in coreference resolution systems.
The MultiBERTs: BERT Reproductions for Robustness Analysis
Experiments with pre-trained models such as BERT are often based on a single checkpoint.
They Exist! Introducing Plural Mentions to Coreference Resolution and Entity Linking
To the best of our knowledge, this is the first time that plural mentions are thoroughly analyzed for these two resolution tasks.
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.
Streamlining Cross-Document Coreference Resolution: Evaluation and Modeling
Recent evaluation protocols for Cross-document (CD) coreference resolution have often been inconsistent or lenient, leading to incomparable results across works and overestimation of performance.
DWIE: an entity-centric dataset for multi-task document-level information extraction
Second, the document-level multi-task annotations require the models to transfer information between entity mentions located in different parts of the document, as well as between different tasks, in a joint learning setting.
Structured Prediction as Translation between Augmented Natural Languages
We propose a new framework, Translation between Augmented Natural Languages (TANL), to solve many structured prediction language tasks including joint entity and relation extraction, nested named entity recognition, relation classification, semantic role labeling, event extraction, coreference resolution, and dialogue state tracking.
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.
Moving on from OntoNotes: Coreference Resolution Model Transfer
Academic neural models for coreference resolution (coref) are typically trained on a single dataset, OntoNotes, and model improvements are benchmarked on that same dataset.