... the nominalization, etc., which represents it. 3. InformationRetrievalfrom Texts Let us now turn to the problem of retrieving information from stored texts. As mentioned in Part 1, we will ... Linguistics, vol.11, nos.1 and 2, March and June 1968] Paraphrase Generation and InformationRetrievalfrom Stored Text by P. W. Culicover, IBM Boston Programming Center First the notion ... expect to use profitably the information gleaned from it. The keyword method does not take full advantage of this type of analysis, since it selects a single word from the major constituent...
... in Cross-Language Information Retrieval. IPSJ Transactions of Databases, TOD 15,43(SIG 9):39–54.F. Sadat, M. Yoshikawa and S. Uemura. 2003. Learn-ing Bilingual Translations from Comparable Corporato ... Corporato Cross-Language Information Retrieval: HybridStatistics-based and Linguistics-based Approach. InProc. IRAL 2003, Sapporo, Japan.G. Salton. 1971. The SMART Retrieval System, Experi-ments ... 1983. Introduction to Modern Information Retrieval. New York, Mc Graw-Hill.S. Sekine. 2001. OAK System-Manual. New York Uni-versity.Bilingual Terminology Acquisition from Comparable Corpora and...
... trong truy xuất thông tin 1.1.1 Hệ thống truy xuất thông tin (Information Retrieval- IR) Hệ thống Truy xuất thông tin (Information Retrieval) là hệ thống thực hiện tìm kiếm tài liệu (thường là ... without Information Retrieval, IROB PQEM ) - Mô hình mở rộng truy vấn dựa trên ontology và kết hợp với hệ thống truy xuất thông tin (Query Expansion Model with Ontology-Based with Information ... thống truy xuất thông tin (Query Expansion Model with Ontology-Based and Probability with Information Retrieval, +IROB PQEM ) 2.4.2.2 Các bước thực hiện mở rộng truy vấn dựa trên Ontology...
... weights.In this paper, we explore whether moresophisticated feature weighting schemes from InformationRetrieval can enhanceclassification accuracy. We show that vari-ants of the classic tf.idf ... to word features.In this paper, we examine whether term weight-ing functions adopted fromInformation Retrieval (IR) based on the standard tf.idf formula andadapted to the particular setting ... weight-ing approaches in automatic text retrieval. Technicalreport, Ithaca, NY, USA.Gerard Salton and Michael J. McGill. 1986. Intro-duction to Modern Information Retrieval. McGraw-Hill, Inc., New...
... MingZhou. 2000. On the use of words and n-gramsfor Chinese information retrieval. In Proceedings ofthe 5th International Workshop Information Retrieval with Asian Languages, pages 141–148. ACM Press,November.Bo ... re-search described in this paper uses the information retrieval (IR) paradigm which has also been used bysome researchers.Several sentiment informationretrieval modelswere proposed in the framework ... benefit from the use of word relations information: some words have sentiment informa-tion only when used with others. For example,a noun dongxi (‘a thing’) does not seem to haveany sentiment information...
... "Natural Language Information Retrieval: TREC°5 Report." Proceedings of TREC-5 confer° ence. Strzalkowski, Tomek. 1995. "Natural Language Information Re- trieval" Information Processing ... usefulness of summa- rization in context of an informationretrieval sys- tem, where the user needs to rapidly and efficiently review the documents returned from search for an indication of relevance ... passage-search "query" is derived from the user's document search query rather than from the document title. 2. The distance of a passage from the beginning of the document is not...
... content. For example, the pair retrieve +information is extracted from any of the fol- lowing fragments: informationretrieval system; retrieval of informationfrom databases; and informa- tion ... Michael. 1991. " ;Retrieval Performance in Ferret: A Conceptual InformationRetrieval System." Proceedings of ACM SIGIR-91, pp. 347-355. Sager, Naomi. 1981. Natural Language Information Processing. ... to as 'conceptual retrieval& apos;. The conceptual retrieval systems, though quite effective, are not yet mature enough to be con- sidered in serious informationretrieval applications,...
... 1979. Representation and classification of knowledge and information for use in interactive information re- trieval. In Human Aspects of Information Science. Oslo: Norwegian Library School. 148 ... grams and the results co~ared to the evaluations of the original analysis and to one another. From the compar- isons can be determined: the extent to which discourse theory can be translated...
... and development in information retrieval. 287Veale and Hao (2007) exploit the simile frame“as X as Y” to harvest a great many commonsimiles and their underlying stereotypes from theweb (e.g. ... thus, the Google queries “In * no one canhear you scream” (from Alien), “Reader, I * him” (from Jane Eyre) and “This is your brain on *” (from a famous TV advert) find new ways inwhich old patterns ... creative informationretrieval to explore how anIR system can itself provide a degree of creativeanticipation, acting as a mediator between the lit-eral specification of a meaning and the retrieval...
... trigram information into our training procedure. Corpus information might be used in more delicate way to improve the performance. References A. Berger and J. Lafferty, " ;Information retrieval ... new lan-guage models of informationretrieval to the tradi-tional retrieval models: University of Twente [Host]; University of Twente, Centre for Telemat-ics and Information Technology, 2000. ... Croft, "A general language model for information retrieval, " 1999, pp. 316-321. G. Salton and M. J. McGill, Introduction to Modern Information Retrieval: McGraw-Hill, Inc. New York,...
... approximately one million news ar-ticles from the Associated Press, the New YorkTimes, and the Xinhua News Agency.3 Document Retrieval Since informationretrieval systems supply the ini-tial ... arose from therecognition that the document does not occupy aprivileged position in the space of information ob-jects as the most ideal unit of retrieval. Indeed, forcertain types of information ... general less than the drops observedin the document retrieval runs. It appears possi-ble that the sentence retrieval algorithm was ableto recover from a lower-quality result set, i.e., onewith...
... resourcesfor informationretrieval tasks. Natural language in-formation retrieval. Kluwer Academic PublishersDordrecht, NL.Bruce Croft and John Lafferty. 2003. Language Mod-eling for Information Retrieval. ... that our hypotheses hold inthe context of Information Retrieval. 1 IntroductionThe task of an InformationRetrieval (IR) systemis to retrieve documents from a collection, in re-sponse to a user ... blocktokens and 19,343 POS block types from the cor-pus.We retrieve relevant documents from two stan-dard TREC test collections, namely WT2G (2GB)and WT10G (10GB), from the 1999 and 2000TREC Web...
... extracting key pieces of information from voicemail messages, such as theidentity and phone number of the caller.This task differs from the named entitytask in that the information we are inter-ested ... value of the available data. One as-pect of information extraction (IE) is the retrieval of documents. Another aspect is that of identify-ing words from a stream of text that belong in pre-defined ... recently a great deal ofwork has also focused on extracting information from speech sources. Examples of this are theSpoken Document Retrieval (SDR) task (NIST,1999), named entity (NE) extraction...
... domain 227 Proceedings of EACL '99 The Development of Lexical Resources for Information Extraction from Text Combining WordNet and Dewey Decimal Classification* Gabriela Cavagli~t ITC-irst ... the main bot- tlenecks in the development of new ap- plications in the field of Information Ex- traction from text. Generic resources (e.g., lexical databases) are promising for reducing ... marking synsets in WordNet with field labels taken from the Dewey Decimal Classification. 1 Introduction One of the current issues in Information Extrac- tion (IE) is efficient transportability,...
... 3 Conclusions and Related Information This demonstration paper describes the ACCURAT toolkit containing tools for multi-level alignment and information extraction from comparable corpora. ... sentence generation from comparable corpora for improved SMT. Machine Translation, 25(4): 341-375. ACCURAT D2.6 2011. Toolkit for multi-level alignment and information extraction from comparable ... filtering steps (Ştefănescu et al., 2012). The first step makes use of the Cross-Language Information Retrieval framework and uses a search engine to find sentences in the target corpus that...