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Acquisition of semantic patterns from a natural corpus of texts

Authors:

M. T. Pazienza,

S. MagriniAuthors Info & Claims

ACM SIGART Bulletin, Issue 108

Pages 115 - 123

https://doi.org/10.1145/63266.63281

Published: 01 April 1989 Publication History

Abstract

In this paper we present a methodology and a program, PETRARCA, for the extensive acquisition of a case based semantic dictionary. The major limitation of existing NLP systems is a poor encoding of semantic knowledge; on the other side, it is unrealistic to assume a manual codification of word senses, including idiomatic expressions and metaphors.The system presented in this paper analyzes a large sample of sentences including a given word, and produces for that word one or more entries in the semantic dictionary (one entry for each word sense). Sentences are provided by an on-line corpus of press agency releases on finance and economics.In PETRARCA, a target word sense definition is represented by a detailed list of use-types, called surface semantic patterns (SSPs). SSPs mirror the way humans most naturally explain a new word sense; in fact, people tend to give associations related to words rather than to provide conceptual categories.To derive these associations, the system uses a high-coverage morphosyntactic analyzer, a catalogue of phrasal-patterns/semantic-interpretation pairs, and a set of selectional restriction rules on semantic interpretation types.This paper claims that surface semantics is a reasonable descriptive framework to build a working computer program for language processing. It is general, and makes it possible to establish in a systematic way the rules of semantic encoding. We believe this being a useful contribution towards a more complete system of language learning.

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Cited By

Ilin INihmatova O(2023)Exploring Russia’s Postponed War Against Ukraine: A Corpus-Based Analysis of Strategic Studies Institutes’ Publications from 1991 to 2014Central European Journal of International and Security Studies10.51870/WUJQ261117:4(4-36)Online publication date: 10-Aug-2023
https://doi.org/10.51870/WUJQ2611
Kim JMoldovan D(1995)Acquisition of Linguistic Patterns for Knowledge-Based Information ExtractionIEEE Transactions on Knowledge and Data Engineering10.1109/69.4698257:5(713-724)Online publication date: 1-Oct-1995
https://dl.acm.org/doi/10.1109/69.469825
Kim JMoldovan D(1993)PALKAProceedings of the second international conference on Information and knowledge management10.1145/170088.170116(124-131)Online publication date: 1-Dec-1993
https://dl.acm.org/doi/10.1145/170088.170116
Show More Cited By

Index Terms

Acquisition of semantic patterns from a natural corpus of texts
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
      1. Semantic networks
  2. Machine learning
    1. Learning settings

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Published In

cover image ACM SIGART Bulletin

ACM SIGART Bulletin Just Accepted

Special issue on knowledge acquisition

April 1989

205 pages

ISSN:0163-5719

DOI:10.1145/63266

Editor:
Chris Westphal
Univ. of Southern California, Los Angeles

Issue’s Table of Contents

Copyright © 1989 Authors.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 April 1989

Published in SIGAI , Issue 108

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Cited By

Ilin INihmatova O(2023)Exploring Russia’s Postponed War Against Ukraine: A Corpus-Based Analysis of Strategic Studies Institutes’ Publications from 1991 to 2014Central European Journal of International and Security Studies10.51870/WUJQ261117:4(4-36)Online publication date: 10-Aug-2023
https://doi.org/10.51870/WUJQ2611
Kim JMoldovan D(1995)Acquisition of Linguistic Patterns for Knowledge-Based Information ExtractionIEEE Transactions on Knowledge and Data Engineering10.1109/69.4698257:5(713-724)Online publication date: 1-Oct-1995
https://dl.acm.org/doi/10.1109/69.469825
Kim JMoldovan D(1993)PALKAProceedings of the second international conference on Information and knowledge management10.1145/170088.170116(124-131)Online publication date: 1-Dec-1993
https://dl.acm.org/doi/10.1145/170088.170116
Kim JMoldovan D(1993)Acquisition of semantic patterns for information extraction from corporaProceedings of 9th IEEE Conference on Artificial Intelligence for Applications10.1109/CAIA.1993.366645(171-176)Online publication date: 1993
https://doi.org/10.1109/CAIA.1993.366645
Moulin BRousseau D(1992)Automated knowledge acquisition from regulatory textsIEEE Expert: Intelligent Systems and Their Applications10.1109/64.1636707:5(27-32)Online publication date: 1-Oct-1992
https://dl.acm.org/doi/10.1109/64.163670
Velardi P(1990)Why human translators still sleep in peace?Proceedings of the 13th conference on Computational linguistics - Volume 210.3115/997939.998005(383-388)Online publication date: 20-Aug-1990
https://dl.acm.org/doi/10.3115/997939.998005
Velardi PPazienza MHirschberg J(1989)Computer aided interpretation of lexical cooccurrencesProceedings of the 27th annual meeting on Association for Computational Linguistics10.3115/981623.981646(185-192)Online publication date: 26-Jun-1989
https://dl.acm.org/doi/10.3115/981623.981646
Elzer PJones RWitt J(1989)Practitioner — Realistic Reuse of SoftwareWissensbasierte Systeme10.1007/978-3-642-75182-0_49(507-515)Online publication date: 1989
https://doi.org/10.1007/978-3-642-75182-0_49

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