Work

Combining lexical, syntactic, and semantic features with maximum entropy models for extracting relations

Year: 2004

Type: conference-paper

Abstract: Extracting semantic relationships between entities is challenging because of a paucity of annotated data and the errors induced by entity detection modules. We employ Maximum Entropy models to combine diverse lexical, syntactic and semantic features derived from the text. Our system obtained competitive results in the Automatic Content Extraction (ACE) evaluation. Here we present our general approach and describe our ACE results.

DOI: 10.3115/1219044.1219066

Author: Nanda Kambhatla

Institutions: IBM (United States), IBM Research - Thomas J. Watson Research Center

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W2030408698

FWCI: 10.69

Cites: 9

Cited by: 624

Related to: 10