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Coreference Resolution

46 papers with code · Natural Language Processing

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.

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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).

CITATION INTENT CLASSIFICATION 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

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

Improving Coreference Resolution by Learning Entity-Level Distributed Representations

ACL 2016 clarkkev/deep-coref

A long-standing challenge in coreference resolution has been the incorporation of entity-level information - features defined over clusters of mentions instead of mention pairs.

COREFERENCE RESOLUTION

Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns

TACL 2018 google-research-datasets/gap-coreference

Coreference resolution is an important task for natural language understanding, and the resolution of ambiguous pronouns a longstanding challenge.

COREFERENCE RESOLUTION

Dynamic Entity Representations in Neural Language Models

EMNLP 2017 smartschat/cort

Understanding a long document requires tracking how entities are introduced and evolve over time.

COREFERENCE RESOLUTION LANGUAGE MODELLING

SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering

10 Dec 2018Microsoft/SDNet

Conversational question answering (CQA) is a novel QA task that requires understanding of dialogue context.

COREFERENCE RESOLUTION MACHINE READING COMPREHENSION QUESTION ANSWERING