182 papers with code • 3 benchmarks • 2 datasets

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Most implemented papers

Gender Bias in Coreference Resolution

rudinger/winogender-schemas NAACL 2018

We present an empirical study of gender bias in coreference resolution systems.

The MultiBERTs: BERT Reproductions for Robustness Analysis

google-research/language ICLR 2022

Experiments with pre-trained models such as BERT are often based on a single checkpoint.

Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods

uclanlp/corefBias NAACL 2018

We introduce a new benchmark, WinoBias, for coreference resolution focused on gender bias.

They Exist! Introducing Plural Mentions to Coreference Resolution and Entity Linking

emorynlp/character-mining COLING 2018

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

yehudit96/coreferrability Findings of the Association for Computational Linguistics 2020

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

ariecattan/coref 23 Sep 2020

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

klimzaporojets/DWIE 26 Sep 2020

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.

WEC: Deriving a Large-scale Cross-document Event Coreference dataset from Wikipedia

AlonEirew/extract-wec NAACL 2021

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

pitrack/incremental-coref EMNLP 2021

Academic neural models for coreference resolution (coref) are typically trained on a single dataset, OntoNotes, and model improvements are benchmarked on that same dataset.

SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts

ariecattan/SciCo AKBC 2021

Determining coreference of concept mentions across multiple documents is a fundamental task in natural language understanding.