Distributional lexical semantics: Toward uniform representation paradigms for advanced acquisition and processing tasks

Author:

BASILI R.,PENNACCHIOTTI M.

Abstract

The distributional hypothesis states that words with similar distributional properties have similar semantic properties (Harris 1968). This perspective on word semantics, was early discussed in linguistics (Firth 1957; Harris 1968), and then successfully applied to Information Retrieval (Salton, Wong and Yang 1975). In Information Retrieval, distributional notions (e.g. document frequency and word co-occurrence counts) have proved a key factor of success, as opposed to early logic-based approaches to relevance modeling (van Rijsbergen 1986; Chiaramella and Chevallet 1992; van Rijsbergen and Lalmas 1996).

Publisher

Cambridge University Press (CUP)

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics,Software

Reference56 articles.

1. Haussler D. July, 1999. Convolution kernels on discrete structures. Technical Report, UCSC-CRL-99-10, University of California, Santa Cruz, CA.

2. Manifold regularization: a geometric framework for learning from labeled and unlabeled examples;Belkin;Journal of Machine Learning Research,2006

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