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Term extraction using a similarity-based approach

  • Diana Maynard and Sophia Ananiadou
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Recent Advances in Computational Terminology
This chapter is in the book Recent Advances in Computational Terminology

Abstract

Traditional methods of multi-word term extraction have used hybrid methods combining linguistic and statistical information. The linguistic part of these applications is often underexploited and consists of very shallow knowledge in the form of a simple syntactic filter. In most cases no interpretation of terms is undertaken and recognition does not involve distinguishing between different senses of terms, although ambiguity can be a serious problem for applications such as ontology building and machine translation. The approach described uses both statistical and linguistic information, combining syntax and semantics to identify, rank and disambiguate terms. We describe a new thesaurus-based similarity measure, which uses semantic information to calculate the importance of different parts of the context in relation to the term. Results show that making use of semantic information is beneficial for both theoretical and practical aspects of terminology.

Abstract

Traditional methods of multi-word term extraction have used hybrid methods combining linguistic and statistical information. The linguistic part of these applications is often underexploited and consists of very shallow knowledge in the form of a simple syntactic filter. In most cases no interpretation of terms is undertaken and recognition does not involve distinguishing between different senses of terms, although ambiguity can be a serious problem for applications such as ontology building and machine translation. The approach described uses both statistical and linguistic information, combining syntax and semantics to identify, rank and disambiguate terms. We describe a new thesaurus-based similarity measure, which uses semantic information to calculate the importance of different parts of the context in relation to the term. Results show that making use of semantic information is beneficial for both theoretical and practical aspects of terminology.

Chapters in this book

  1. Prelim pages i
  2. Table of contents vi
  3. Introduction viii
  4. A graph-based approach to the automatic generation of multilingual keyword clusters 1
  5. The automatic construction of faceted terminological feedback for interactive document retrieval 29
  6. Automatic term detection 53
  7. Incremental extraction of domain-specific terms from online text resources 89
  8. Knowledge-based terminology management in medicine 111
  9. Searching for and identifying conceptual relationships via a corpus-based approach to a Terminological Knowledge Base (CTKB) 127
  10. Qualitative terminology extraction 149
  11. General considerations on bilingual terminology extraction 167
  12. Detection of synonymy links between terms 185
  13. Extracting useful terms from parenthetical expressions by combining simple rules and statistical measures 209
  14. Software tools to support the construction of bilingual terminology lexicons 225
  15. Determining semantic equivalence of terms in information retrieval 245
  16. Term extraction using a similarity-based approach 261
  17. Extracting knowledge-rich contexts for terminography 279
  18. Experimental evaluation of ranking and selection methods in term extraction 303
  19. Corpus-based extension of a terminological semantic lexicon 327
  20. Term extraction for automatic abstracting 353
  21. About the contributors 371
  22. Subject Index 377
https://doi.org/10.1075/nlp.2.14may

Chapters in this book

  1. Prelim pages i
  2. Table of contents vi
  3. Introduction viii
  4. A graph-based approach to the automatic generation of multilingual keyword clusters 1
  5. The automatic construction of faceted terminological feedback for interactive document retrieval 29
  6. Automatic term detection 53
  7. Incremental extraction of domain-specific terms from online text resources 89
  8. Knowledge-based terminology management in medicine 111
  9. Searching for and identifying conceptual relationships via a corpus-based approach to a Terminological Knowledge Base (CTKB) 127
  10. Qualitative terminology extraction 149
  11. General considerations on bilingual terminology extraction 167
  12. Detection of synonymy links between terms 185
  13. Extracting useful terms from parenthetical expressions by combining simple rules and statistical measures 209
  14. Software tools to support the construction of bilingual terminology lexicons 225
  15. Determining semantic equivalence of terms in information retrieval 245
  16. Term extraction using a similarity-based approach 261
  17. Extracting knowledge-rich contexts for terminography 279
  18. Experimental evaluation of ranking and selection methods in term extraction 303
  19. Corpus-based extension of a terminological semantic lexicon 327
  20. Term extraction for automatic abstracting 353
  21. About the contributors 371
  22. Subject Index 377
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