2007 ShallowSemanticsforCoreferenceR

• (Ng, 2007) ⇒ Vincent Ng. (2007). “Shallow Semantics for Coreference Resolution.” In: Proceedings of the 20th international joint conference on Artifical intelligence.

Subject Headings: Classification-based Coreference Resolution System.

Cited By

• http://scholar.google.com/scholar?q=%222007%22+Shallow+Semantics+for+Coreference+Resolution
• http://dl.acm.org/citation.cfm?id=1625275.1625549&preflayout=flat#citedby

Quotes

Abstract

This paper focuses on the linguistic aspect of noun phrase coreference, investigating the knowledge sources that can potentially improve a learning-based coreference resolution system. Unlike traditional, knowledge-lean coreference resolvers, which rely almost exclusively on morpho-syntactic cues, we show how to induce features that encode semantic knowledge from labeled and unlabeled corpora. Experiments on the ACE data sets indicate that the addition of these new semantic features to a coreference system employing a fairly standard feature set significantly improves its performance.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2007 ShallowSemanticsforCoreferenceR	Vincent Ng			Shallow Semantics for Coreference Resolution						2007