{"title":"信息检索中的术语合并方法:非语言和语言方法","authors":"C. Galvez, F. M. Anegón, V. H. Solana","doi":"10.1108/00220410510607507","DOIUrl":null,"url":null,"abstract":"Purpose – To propose a categorization of the different conflation procedures at the two basic approaches, non‐linguistic and linguistic techniques, and to justify the application of normalization methods within the framework of linguistic techniques.Design/methodology/approach – Presents a range of term conflation methods, that can be used in information retrieval. The uniterm and multiterm variants can be considered equivalent units for the purposes of automatic indexing. Stemming algorithms, segmentation rules, association measures and clustering techniques are well evaluated non‐linguistic methods, and experiments with these techniques show a wide variety of results. Alternatively, the lemmatisation and the use of syntactic pattern‐matching, through equivalence relations represented in finite‐state transducers (FST), are emerging methods for the recognition and standardization of terms.Findings – The survey attempts to point out the positive and negative effects of the linguistic approach and its poten...","PeriodicalId":47969,"journal":{"name":"Journal of Documentation","volume":"61 1","pages":"520-547"},"PeriodicalIF":1.7000,"publicationDate":"2005-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/00220410510607507","citationCount":"29","resultStr":"{\"title\":\"Term conflation methods in information retrieval: Non-linguistic and linguistic approaches\",\"authors\":\"C. Galvez, F. M. Anegón, V. H. Solana\",\"doi\":\"10.1108/00220410510607507\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose – To propose a categorization of the different conflation procedures at the two basic approaches, non‐linguistic and linguistic techniques, and to justify the application of normalization methods within the framework of linguistic techniques.Design/methodology/approach – Presents a range of term conflation methods, that can be used in information retrieval. The uniterm and multiterm variants can be considered equivalent units for the purposes of automatic indexing. Stemming algorithms, segmentation rules, association measures and clustering techniques are well evaluated non‐linguistic methods, and experiments with these techniques show a wide variety of results. Alternatively, the lemmatisation and the use of syntactic pattern‐matching, through equivalence relations represented in finite‐state transducers (FST), are emerging methods for the recognition and standardization of terms.Findings – The survey attempts to point out the positive and negative effects of the linguistic approach and its poten...\",\"PeriodicalId\":47969,\"journal\":{\"name\":\"Journal of Documentation\",\"volume\":\"61 1\",\"pages\":\"520-547\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2005-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1108/00220410510607507\",\"citationCount\":\"29\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Documentation\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1108/00220410510607507\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Documentation","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/00220410510607507","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
Term conflation methods in information retrieval: Non-linguistic and linguistic approaches
Purpose – To propose a categorization of the different conflation procedures at the two basic approaches, non‐linguistic and linguistic techniques, and to justify the application of normalization methods within the framework of linguistic techniques.Design/methodology/approach – Presents a range of term conflation methods, that can be used in information retrieval. The uniterm and multiterm variants can be considered equivalent units for the purposes of automatic indexing. Stemming algorithms, segmentation rules, association measures and clustering techniques are well evaluated non‐linguistic methods, and experiments with these techniques show a wide variety of results. Alternatively, the lemmatisation and the use of syntactic pattern‐matching, through equivalence relations represented in finite‐state transducers (FST), are emerging methods for the recognition and standardization of terms.Findings – The survey attempts to point out the positive and negative effects of the linguistic approach and its poten...
期刊介绍:
The scope of the Journal of Documentation is broadly information sciences, encompassing all of the academic and professional disciplines which deal with recorded information. These include, but are certainly not limited to: ■Information science, librarianship and related disciplines ■Information and knowledge management ■Information and knowledge organisation ■Information seeking and retrieval, and human information behaviour ■Information and digital literacies