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Full-Text Articles in Library and Information Science
Questions To Be Asked & Answered On Nlp’S Role In Improving Semantic Annotation For Ir, Elizabeth D. Liddy
Questions To Be Asked & Answered On Nlp’S Role In Improving Semantic Annotation For Ir, Elizabeth D. Liddy
School of Information Studies - Faculty Scholarship
What was early information retrieval like? (before it was called search!)
How was NLP first applied to the task?
Which levels of language analysis were utilized?
Which were successful? Which were not?
Why were other levels not incorporated ?
Do we now see that the higher levels can and need to be included?
If they are, how might they change how we do IR, as well as what tasks we use it for?
A Framework For Creating A Facetted Classification For Genres: Addressing Issues Of Multidimensionality, Kevin Crowston, Barbara H. Kwasnik
A Framework For Creating A Facetted Classification For Genres: Addressing Issues Of Multidimensionality, Kevin Crowston, Barbara H. Kwasnik
School of Information Studies - Faculty Scholarship
People recognize and use document genres as a way of identifying useful information and of participating in mutually understood communicative acts. Crowston and Kwasnik [1] discuss the possibility of improving information access in large digital collections through the identification and use of document genre metadata. They draw on the definition of genre proposed by Orlikowski and Yates [3], who describe genre as "a distinctive type of communicative action, characterized by a socially recognized communicative purpose and common aspects of form" (p. 543). Scholars in fields such as rhetoric and library science have attempted to describe and systematize the notion of …
Can Document-Genre Metadata Improve Information Access To Large Digital Collections., Kevin Crowston, Barbara H. Kwasnik
Can Document-Genre Metadata Improve Information Access To Large Digital Collections., Kevin Crowston, Barbara H. Kwasnik
School of Information Studies - Faculty Scholarship
No abstract provided.
Translation Events In Cross-Language Information Retrieval: Lexical Ambiguity, Lexical Holes, Vocabulary Mismatch, And Correct Translations, Anne Roel Diekema
Translation Events In Cross-Language Information Retrieval: Lexical Ambiguity, Lexical Holes, Vocabulary Mismatch, And Correct Translations, Anne Roel Diekema
School of Information Studies - Faculty Scholarship
Cross-Language Information Retrieval (CLIR) systems enable users to formulate queries in their native language to retrieve documents in foreign languages. Because queries and documents in CLIR do not necessarily share the same language, translation is needed before matching can take place. This translation step tends to cause a reduction in the retrieval performance of CLIR as compared to monolingual information retrieval. The prevailing CLIR approach and the focus of this study is query translation. The translation of queries is inherently difficult due to the lack of a one-to-one mapping of a lexical item and its meaning, which creates lexical ambiguity. …
Question Answering: Cnlp At The Trec-2002 Question Answering Track, Anne R. Diekema, Jiangping Chen, Nancy Mccracken, Necati Ercan Ozgencil, Mary D. Taffet
Question Answering: Cnlp At The Trec-2002 Question Answering Track, Anne R. Diekema, Jiangping Chen, Nancy Mccracken, Necati Ercan Ozgencil, Mary D. Taffet
School of Information Studies - Faculty Scholarship
This paper describes the retrieval experiments for the main task and list task of the TREC-2002 question-answering track. The question answering system described automatically finds answers to questions in a large document collection. The system uses a two-stage retrieval approach to answer finding based on matching of named entities, linguistic patterns, keywords, and the use of a new inference module. In answering a question, the system carries out a detailed query analysis that produces a logical query representation, an indication of the question focus, and answer clue words.
Dr-Link: A System Update For Trec-2, Elizabeth D. Liddy, Sung H. Myaeng
Dr-Link: A System Update For Trec-2, Elizabeth D. Liddy, Sung H. Myaeng
School of Information Studies - Faculty Scholarship
The theoretical goal underlying the DR-LINK System is to represent and match documents and queries at the various linguistic levels at which human language conveys meaning. Accordingly, we have developed a modular system which processes and represents text at the lexical, syntactic, semantic, and discourse levels of language. In concert, these levels of processing permit DR-LINK to achieve a level of intelligent retrieval beyond more traditional approaches. In addition, the rich annotations to text produced by DR-LINK are replete with much of the semantics necessary for document extraction. The system was planned and developed in a modular fashion and functional …