Lexical Acquisition f. .

Lexical Acquisition f.Details (if other): Cancel. Thanks for telling us about the problem.

However, the methods by which lexical knowledge should be extracted from plain texts is still a matter of debate and experimentation. In this paper we present an integrated tool for lexical acquisition from corpora, ARIOSTO, based on a hybrid methodology that combines. typical NLP techniques, such as (shallow) syntax and semantic markers, with numerical processing.

by Paola Velardi, Robert Basili, Maria Teresa Pazienza.

Fac. of Engineering, July 1992 . Pazienza, P. Velardi, A Structured representation of wordsenses for semantical analysis, 3rd conf

Fac. Velardi, A Structured representation of wordsenses for semantical analysis, 3rd conf. of European Chapter of the ACL,1987 .

oceedings{A, title {Combining NLP and statistical techniques for lexical .

oceedings{A, title {Combining NLP and statistical techniques for lexical acquisition}, author {Roberto Basili and Maria Teresa Pazienza and Paola Velardi}, year {1992} }. Roberto Basili, Maria Teresa Pazienza, Paola Velardi. In this paper it is presented an integrated tool for lexical acquisition from corpora, ARIOSTO, based on a hybrid methodology that combines typical NLP techniques, such as (shallow) syntax and semantic markers, with numerical processing. View PDF. Save to Library.

Foundations of. Statistical Natural. Christopher D. Manning Hinrich. 6 Statistical Inference: n-gram Models over Sparse Data 7 Word Sense Disambiguation 229 8 Lexical Acquisition 265. The MIT Press Cambridge, Massachusetts. 191. III Grammar 315.

Pazienza, and P. Velardi: 1992c, ‘Combining NLP and Statistical Techniques for Lexical Acquisition’, (Working Notes of AAAI Fall Symp. MIT Press, Cambridge, Massachusetts. on Current Issues in Computational Linguistics (June), University of Malaysia.

In the process of producing discourse, speakers and writers must decide what it is that they want to say and how to present it effectively.