Probing Semantic Relations

Exploration and identification in specialized texts

| Defence Research and Development Canada (Valcartier)
| National Research Council of Canada
ISBN 9789027222534 | EUR 85.00 | USD 128.00
ISBN 9789027287922 | EUR 85.00 | USD 128.00

Semantic relations are at the core of any representational system, and are keys to enable the next generation of information processing systems with semantic and reasoning capabilities. Acquisition, description, and formalization of semantic relations are fundamentals in computer-based systems where natural language processing is required. Probing Semantic Relations provides a state of the art of current research trends in the area of knowledge extraction from text using linguistic patterns. First published as a Special Issue of Terminology 14:1 (2008), the current book emphasizes how definitional knowledge is conveyed by conceptual and semantic relations such as synonymy, causality, hypernymy (generic–specific), and meronymy (part–whole). Showing the difficulties and successes of pattern-based approaches, the book illustrates current and future challenges in knowledge acquisition from text. This book provides new perspectives to researchers and practitioners in terminology, knowledge engineering, natural language processing, and semantics.

[Benjamins Current Topics, 23]  2010.  ix, 156 pp.
Publishing status: Available
Table of Contents
Pattern-based approaches to semantic relation extraction: A state-of-the-art
Alain Auger and Caroline Barrière
Web-based extraction of semantic relation instances for terminology work
Jakob Halskov and Caroline Barrière
Designing and evaluating patterns for relation acquisition from texts with Caméléon
Nathalie Aussenac-Gilles and Marie-Paule Jacques
Definitional verbal patterns for semantic relation extraction
Gerardo Sierra, Rodrigo Alarcón, César Aguilar and Carme Bach
Patrones léxicos para la extracción de conceptos vinculados por la relación parte-todo en español
Victoria Soler y Amparo Alcina
Expressions of uncertainty in candidate knowledge-rich contexts: A comparison in English and French specialized texts
Elizabeth Marshman
Cited by

Cited by 1 other publications

Bowker, Lynne
2018. Corpus linguistics is not just for linguists. Library Hi Tech 36:2  pp. 358 ff. Crossref logo

This list is based on CrossRef data as of 19 november 2021. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.

Subjects & Metadata

Terminology & Lexicography

BIC Subject: CFM – Lexicography
BISAC Subject: LAN009000 – LANGUAGE ARTS & DISCIPLINES / Linguistics / General
ONIX Metadata
ONIX 2.1
ONIX 3.0
U.S. Library of Congress Control Number:  2010022885 | Marc record