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Full-Text Articles in Library and Information Science
Improved Document Representation For Classification Tasks For The Intelligence Community, Elizabeth D. Liddy, Ozgur Yilmazel, Svetlana Symonenko, Niranjan Balasubramanian
Improved Document Representation For Classification Tasks For The Intelligence Community, Elizabeth D. Liddy, Ozgur Yilmazel, Svetlana Symonenko, Niranjan Balasubramanian
School of Information Studies - Faculty Scholarship
This research addresses the question of whether the AI technologies of Natural Language Processing (NLP) and Machine Learning (ML) can be used to improve security within the Intelligence Community (IC).
Hands-On Nlp For An Interdisciplinary Audience, Elizabeth D. Liddy, Nancy Mccracken
Hands-On Nlp For An Interdisciplinary Audience, Elizabeth D. Liddy, Nancy Mccracken
School of Information Studies - Faculty Scholarship
The need for a single NLP offering for a diverse mix of graduate students (including computer scientists, information scientists, and linguists) has motivated us to develop a course that provides students with a breadth of understanding of the scope of real world applications, as well as depth of knowledge of the computational techniques on which to build in later experiences. We describe the three hands-on tasks for the course that have proven successful, namely: 1) in-class group simulations of computational processes; 2) team posters and public presentations on state-of-the-art commercial NLP applications, and; 3) team projects implementing various levels of …
Document Retrieval, Automatic, Elizabeth D. Liddy
Document Retrieval, Automatic, Elizabeth D. Liddy
School of Information Studies - Faculty Scholarship
Document Retrieval is the computerized process of producing a relevance ranked list of documents in response to an inquirer’s request by comparing their request to an automatically produced index of the documents in the system. Everyone uses such systems today in the form of web-based search engines. While evolving from a fairly small discipline in the 1940s, to a large, profitable industry today, the field has maintained a healthy research focus, supported by test collections and large-scale annual comparative tests of systems. A document retrieval system is comprised of three core modules: document processor, query analyzer, and matching function. There …