Browse SoTA > Natural Language Processing > Coreference Resolution

Coreference Resolution

65 papers with code ยท 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.

Benchmarks

Latest papers without code

Toward Gender-Inclusive Coreference Resolution

ACL 2020

Correctly resolving textual mentions of people fundamentally entails making inferences about those people.

COREFERENCE RESOLUTION

Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?

ACL 2020

However, we fail to observe more granular correlations between probing and target task performance, highlighting the need for further work on broad-coverage probing benchmarks.

COREFERENCE RESOLUTION NATURAL LANGUAGE UNDERSTANDING TRANSFER LEARNING

Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event

ACL 2020

Understanding discourse structures of news articles is vital to effectively contextualize the occurrence of a news event.

COREFERENCE RESOLUTION

CorefQA: Coreference Resolution as Query-based Span Prediction

ACL 2020

In this paper, we present CorefQA, an accurate and extensible approach for the coreference resolution task.

COREFERENCE RESOLUTION DATA AUGMENTATION QUESTION ANSWERING

Multi-Sentence Argument Linking

ACL 2020

We present a novel document-level model for finding argument spans that fill an event{'}s roles, connecting related ideas in sentence-level semantic role labeling and coreference resolution.

COREFERENCE RESOLUTION SEMANTIC ROLE LABELING

Active Learning for Coreference Resolution using Discrete Annotation

ACL 2020

We improve upon pairwise annotation for active learning in coreference resolution, by asking annotators to identify mention antecedents if a presented mention pair is deemed not coreferent.

ACTIVE LEARNING COREFERENCE RESOLUTION

Understanding Points of Correspondence between Sentences for Abstractive Summarization

ACL 2020

We create a dataset containing the documents, source and fusion sentences, and human annotations of points of correspondence between sentences.

ABSTRACTIVE TEXT SUMMARIZATION COREFERENCE RESOLUTION SENTENCE FUSION

A Cross-Task Analysis of Text Span Representations

WS 2020

Many natural language processing (NLP) tasks involve reasoning with textual spans, including question answering, entity recognition, and coreference resolution.

COREFERENCE RESOLUTION QUESTION ANSWERING

Segmentation Approach for Coreference Resolution Task

30 Jun 2020

This has been accomplished by defining an embedding method for the position of all members of a coreference cluster in a document and resolving all of them for a given mention.

COREFERENCE RESOLUTION