Papers Coreference Resolution

Dependency parsing representation effects on the accuracy of semantic applications --- an example of an inflective language

In this paper we investigate how different dependency representations of a treebank influence the accuracy of the dependency parser trained on this treebank and the impact on several parser applications: named entity rec…

The Extended DIRNDL Corpus as a Resource for Coreference and Bridging Resolution

DIRNDL is a spoken and written corpus based on German radio news, which features coreference and information-status annotation (including bridging anaphora and their antecedents), as well as prosodic information. We have…

Multilingual corpora with coreferential annotation of person entities

This paper presents three corpora with coreferential annotation of person entities for Portuguese, Galician and Spanish. They contain coreference links between several types of pronouns (including elliptical, possessive,…

Detecting Subevent Structure for Event Coreference Resolution

In the task of event coreference resolution, recent work has shown the need to perform not only full coreference but also partial coreference of events. We show that subevents can form a particular hierarchical event str…

A Joint Model for Quotation Attribution and Coreference Resolution

Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns

A Summariser based on Human Memory Limitations and Lexical Competition

Multilingual, Efficient and Easy NLP Processing with IXA Pipeline

Resolving Coreferent and Associative Noun Phrases in Scientific Text

A New Entity Salience Task with Millions of Training Examples

Zero subject detection for Polish

Coreference Resolution Evaluation for Higher Level Applications

Domain Adaptation with Active Learning for Coreference Resolution

Narrowing the Modeling Gap: A Cluster-Ranking Approach to Coreference Resolution

Traditional learning-based coreference resolvers operate by training the mention-pair model for determining whether two mentions are coreferent or not. Though conceptually simple and easy to understand, the mention-pair …

A Joint Model for Entity Analysis: Coreference, Typing, and Linking

We present a joint model of three core tasks in the entity analysis stack: coreference resolution (within-document clustering), named entity recognition (coarse semantic typing), and entity linking (matching to Wikipedia…

Deep Learning Embeddings for Discontinuous Linguistic Units

Deep learning embeddings have been successfully used for many natural language processing problems. Embeddings are mostly computed for word forms although a number of recent papers have extended this to other linguistic …

Examining the Impact of Coreference Resolution on Quote Attribution

Big Data and Cross-Document Coreference Resolution: Current State and Future Opportunities

Information Extraction (IE) is the task of automatically extracting structured information from unstructured/semi-structured machine-readable documents. Among various IE tasks, extracting actionable intelligence from eve…

ARKref: a rule-based coreference resolution system

ARKref is a tool for noun phrase coreference. It is a deterministic, rule-based system that uses syntactic information from a constituent parser, and semantic information from an entity recognition component. Its archite…

Animacy Detection with Voting Models