- Author:
- Marti A. Hearst
We describe a method for the automatic acquisition of the hyponymy lexical relation from unrestricted text. Two goals motivate the approach: (I) avoidance of the need for pre-encoded knowledge and (ii) applicability across a wide range of text. We identify a set of lexico-syntactic patterns that are easily recognizable, that occur frequently and across text genre boundaries, and that indisputably indicate the lexical relation of interest. We describe a method for discovering these patterns and suggest that other lexical relations will also be acquirable in this way. A subset of the acquisition algorithm is implemented and the results are used to augment and critique the structure of a large hand-built thesaurus. Extensions and applications To areas such as information retrieval are suggested.
Cited By
- Weikum G, Hoffart J and Suchanek F Knowledge Harvesting: Achievements and Challenges Computing and Software Science, (217-235)
- Di-Jorio L, Bringay S, Fiot C, Laurent A and Teisseire M Sequential Patterns for Maintaining Ontologies over Time Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part II on On the Move to Meaningful Internet Systems, (1385-1403)
Recommendations
Automatic acquisition of hyponyms from large text corpora
COLING '92: Proceedings of the 14th conference on Computational linguistics - Volume 2We describe a method for the automatic acquisition of the hyponymy lexical relation from unrestricted text. Two goals motivate the approach: (i) avoidance of the need for pre-encoded knowledge and (ii) applicability across a wide range of text. We ...
Automatic acquisition of domain-specific morphological resources from thesauri
RIAO '00: Content-Based Multimedia Information Access - Volume 1These is a growing body of evidence that morphological knowledge, beyond stemming methods, can help Information Retrieval tasks. Automated acquisition methods have been devised to learn morphological knowledge from corpora and thesauri, and show how ...
Automatic acquisition of context-specific lexical paraphrases
IJCAI'07: Proceedings of the 20th international joint conference on Artifical intelligenceLexical paraphrasing aims at acquiring word-level paraphrases. It is critical for many Natural Language Processing (NLP) applications, such as Question Answering (QA), Information Extraction (IE), and Machine Translation (MT). Since the meaning and ...