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作者 Hinh, Robert
書名 Tool comparison of semantic parsers [electronic resource] / Robert Hinh
出版項 Ann Arbor : ProQuest Dissertations & Theses, 2016
國際標準書號 9781369301342
book jacket
說明 1 online resource
附註 Source: Masters Abstracts International, Volume: 56-02
Adviser: Julia MT Rayz
Thesis (M.S.)--Purdue University, 2016
Natural Language Processing (NLP) is a vital aspect for artificial intelligence systems to achieve integration into human lives, which has been a goal for researchers in this industry. While NLP focuses on an array of problems, semantic parsing will be specifically focused on throughout this paper. These parsers have been considerably targeted for improvement through the scientific community and demand for semantic parsers that achieve high accuracy has increased. There have been many approaches developed for this specific purpose and in this paper, a deep analysis was performed to compare the performance of semantic parsing systems. The implications of this comparison provides a viewpoint of how semantic parsers from different eras compare on a set of shared metrics
School code: 0183
Host Item Masters Abstracts International 56-02(E)
主題 Information technology
Computer science
Linguistics
Alt Author Purdue University. Computer and Information Technology
記錄 2 之 2
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