About

Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities.

Example:

               +-----------+
               |           |
I voted for Obama because he was most aligned with my values", she said.
 |                                                 |            |
 +-------------------------------------------------+------------+

"I", "my", and "she" belong to the same cluster and "Obama" and "he" belong to the same cluster.

Benchmarks

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Libraries

Subtasks

Datasets

Greatest papers with code

Deep contextualized word representations

NAACL 2018 zalandoresearch/flair

We introduce a new type of deep contextualized word representation that models both (1) complex characteristics of word use (e. g., syntax and semantics), and (2) how these uses vary across linguistic contexts (i. e., to model polysemy).

Ranked #2 on Citation Intent Classification on ACL-ARC (using extra training data)

CITATION INTENT CLASSIFICATION CONVERSATIONAL RESPONSE SELECTION COREFERENCE RESOLUTION LANGUAGE MODELLING NAMED ENTITY RECOGNITION NATURAL LANGUAGE INFERENCE QUESTION ANSWERING SEMANTIC ROLE LABELING SENTIMENT ANALYSIS

Higher-order Coreference Resolution with Coarse-to-fine Inference

NAACL 2018 kentonl/e2e-coref

We introduce a fully differentiable approximation to higher-order inference for coreference resolution.

COREFERENCE RESOLUTION

End-to-end Neural Coreference Resolution

EMNLP 2017 kentonl/e2e-coref

We introduce the first end-to-end coreference resolution model and show that it significantly outperforms all previous work without using a syntactic parser or hand-engineered mention detector.

COREFERENCE RESOLUTION

BERT for Coreference Resolution: Baselines and Analysis

IJCNLP 2019 mandarjoshi90/coref

We apply BERT to coreference resolution, achieving strong improvements on the OntoNotes (+3. 9 F1) and GAP (+11. 5 F1) benchmarks.

COREFERENCE RESOLUTION

Deep Reinforcement Learning for Mention-Ranking Coreference Models

EMNLP 2016 clarkkev/deep-coref

Coreference resolution systems are typically trained with heuristic loss functions that require careful tuning.

COREFERENCE RESOLUTION