{"title":"在CLEF的西奈经验","authors":"F. Mart, L. Ure, M. Teresa","doi":"10.4114/IA.V8I22.809","DOIUrl":null,"url":null,"abstract":"This paper reports our work on CLEF and CrossLanguage Information Retrieval using CLEF resources. We aim to construct a highly languageindependent CLIR model. To accomplish this objective, several problems must be overcome: text translation or pseudo-translation and merging the obtained results for each language for a given query. Three issues of text-translation are investigated: the impact of translation probabilities, automatic multi-word recognition, and the generation of similarity thesauri from a Web corpus. Because the proposed model is query-translation driven, it is necessary to merge several monolingual results in a unique multilingual list of documents. To accomplish this task, we propose a new approach, which we call 2-step RSV, and we show that it performs better than more traditional approaches.","PeriodicalId":43470,"journal":{"name":"Inteligencia Artificial-Iberoamerical Journal of Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2004-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"SINAI experience at CLEF\",\"authors\":\"F. Mart, L. Ure, M. Teresa\",\"doi\":\"10.4114/IA.V8I22.809\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper reports our work on CLEF and CrossLanguage Information Retrieval using CLEF resources. We aim to construct a highly languageindependent CLIR model. To accomplish this objective, several problems must be overcome: text translation or pseudo-translation and merging the obtained results for each language for a given query. Three issues of text-translation are investigated: the impact of translation probabilities, automatic multi-word recognition, and the generation of similarity thesauri from a Web corpus. Because the proposed model is query-translation driven, it is necessary to merge several monolingual results in a unique multilingual list of documents. To accomplish this task, we propose a new approach, which we call 2-step RSV, and we show that it performs better than more traditional approaches.\",\"PeriodicalId\":43470,\"journal\":{\"name\":\"Inteligencia Artificial-Iberoamerical Journal of Artificial Intelligence\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2004-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Inteligencia Artificial-Iberoamerical Journal of Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4114/IA.V8I22.809\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Inteligencia Artificial-Iberoamerical Journal of Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4114/IA.V8I22.809","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
This paper reports our work on CLEF and CrossLanguage Information Retrieval using CLEF resources. We aim to construct a highly languageindependent CLIR model. To accomplish this objective, several problems must be overcome: text translation or pseudo-translation and merging the obtained results for each language for a given query. Three issues of text-translation are investigated: the impact of translation probabilities, automatic multi-word recognition, and the generation of similarity thesauri from a Web corpus. Because the proposed model is query-translation driven, it is necessary to merge several monolingual results in a unique multilingual list of documents. To accomplish this task, we propose a new approach, which we call 2-step RSV, and we show that it performs better than more traditional approaches.
期刊介绍:
Inteligencia Artificial is a quarterly journal promoted and sponsored by the Spanish Association for Artificial Intelligence. The journal publishes high-quality original research papers reporting theoretical or applied advances in all branches of Artificial Intelligence. The journal publishes high-quality original research papers reporting theoretical or applied advances in all branches of Artificial Intelligence. Particularly, the Journal welcomes: New approaches, techniques or methods to solve AI problems, which should include demonstrations of effectiveness oor improvement over existing methods. These demonstrations must be reproducible. Integration of different technologies or approaches to solve wide problems or belonging different areas. AI applications, which should describe in detail the problem or the scenario and the proposed solution, emphasizing its novelty and present a evaluation of the AI techniques that are applied. In addition to rapid publication and dissemination of unsolicited contributions, the journal is also committed to producing monographs, surveys or special issues on topics, methods or techniques of special relevance to the AI community. Inteligencia Artificial welcomes submissions written in English, Spaninsh or Portuguese. But at least, a title, summary and keywords in english should be included in each contribution.