Survey of Word Co-occurrence Measures for Collocation Detection
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| Format: | Artículo científico |
| Language: | en |
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Instituto Politécnico Nacional
2016
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| author | Olga Kolesnikova |
| author_facet | Olga Kolesnikova |
| contents | Survey of Word Co-occurrence Measures for Collocation Detection Olga Kolesnikova Computación Word co occurrence collocation occurrence measure association measure This paper presents a detailed survey of word co-occurrence measures used in natural language processing. Word co-occurrence information is vital for accurate computational text treatment, it is important to distinguish words which can combine freely with other words from other words whose preferences to generate phrases are restricted. The latter words together with their typical co-occurring companions are called collocations. To detect collocations, many word cooccurrence measures, also called association measures, are used to determine a high degree of cohesion between words in collocations as opposed to a low degree of cohesion in free word combinations. We describe such association measures grouping them in classes depending on approaches and mathematical models used to formalize word co-occurrence. 2016 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61547469003 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.20 |
| format | Artículo científico |
| id | redalyc_61547469003 |
| institution | Redalyc |
| language | en |
| publishDate | 2016 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | Survey of Word Co-occurrence Measures for Collocation Detection Olga Kolesnikova Computación Word co occurrence collocation occurrence measure association measure Survey of Word Co-occurrence Measures for Collocation Detection Olga Kolesnikova Computación Word co occurrence collocation occurrence measure association measure This paper presents a detailed survey of word co-occurrence measures used in natural language processing. Word co-occurrence information is vital for accurate computational text treatment, it is important to distinguish words which can combine freely with other words from other words whose preferences to generate phrases are restricted. The latter words together with their typical co-occurring companions are called collocations. To detect collocations, many word cooccurrence measures, also called association measures, are used to determine a high degree of cohesion between words in collocations as opposed to a low degree of cohesion in free word combinations. We describe such association measures grouping them in classes depending on approaches and mathematical models used to formalize word co-occurrence. 2016 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61547469003 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.20 |
| title | Survey of Word Co-occurrence Measures for Collocation Detection |
| topic | Computación Word co occurrence collocation occurrence measure association measure |
| url | https://www.redalyc.org/articulo.oa?id=61547469003 |