Work

Building a semantic lexicon of English nouns via bootstrapping

Year: 2009

Type: conference-paper

Abstract: We describe the use of a weakly supervised bootstrapping algorithm in discovering contrasting semantic categories from a source lexicon with little training data. Our method primarily exploits the patterns in sentential contexts where different categories of words may appear. Experimental results are presented showing that such automatically categorized terms tend to agree with human judgements.

DOI: 10.3115/1620932.1620939

Authors: Ting Qian, Benjamin Van Durme, Lenhart Schubert

Institution: University of Rochester

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Funder: National Science Foundation

Awards: Deriving General World Knowledge from Texts by Abstraction of Logical Forms, IIS: Knowledge Representation and Reasoning Mechanisms for Explicitly Self-Aware Communicative Agents

OpenAlex ID: W2029044131

FWCI: 0.469

Cites: 12

Cited by: 4

Related to: 10