Semantic Scholar Open Access 1998 1924 sitasi

Automatic Retrieval and Clustering of Similar Words

Dekang Lin

Lihat Sumber DOI

Abstrak

Bootstrapping semantics from text is one of the greatest challenges in natural language learning. We first define a word similarity measure based on the distributional pattern of words. The similarity measure allows us to construct a thesaurus using a parsed corpus. We then present a new evaluation methodology for the automatically constructed thesaurus. The evaluation results show that the thesaurus is significantly closer to WordNet than Roget Thesaurus is.

Topik & Kata Kunci

Computer Science

Penulis (1)

Dekang Lin

Format Sitasi

APA MLA BibTeX

Lin, D. (1998). Automatic Retrieval and Clustering of Similar Words. https://doi.org/10.3115/980691.980696

Akses Cepat

Lihat di Sumber doi.org/10.3115/980691.980696

Informasi Jurnal

Tahun Terbit: 1998
Bahasa: en
Total Sitasi: 1924×
Sumber Database: Semantic Scholar
DOI: 10.3115/980691.980696
Akses: Open Access ✓