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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lei Li Yuan Gong Lu Feng Yanquan Zhou Yixin Zhong |
| Copyright Year | 2007 |
| Description | Author affiliation: Beijing Univ. of Posts & Telecommun., Beijing (Lei Li; Yuan Gong; Lu Feng; Yanquan Zhou; Yixin Zhong) |
| Abstract | Although natural language processing (NLP) technology has brought great help to human, it also produces many negative sentences, which has gradually become a big problem to the development of NLP and applications. Now it's an important and urgent task for us to deal with various negative sentences. As a starting study, this paper puts forward a new understanding of the concept of negative sentence and a natural language understanding (NLU) based method of "form-value-meaning" (F-V-M) analysis, which could check the reliability, or possible errors of negative sentences in open application domains with the help of pragmatic information, fuzzy set, online related corpus acquisition, knowledge base building and updating. An initial implementation is also done for speech recognition (SR) negative sentences in the domain of hotel. Testing results have shown its feasibility. |
| Starting Page | 62 |
| Ending Page | 67 |
| File Size | 6675348 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424416103 |
| DOI | 10.1109/NLPKE.2007.4368012 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-08-30 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Strontium Computer interfaces Working environment noise Natural languages Humans Keyboards Rail to rail outputs Optical character recognition software Machine intelligence Testing |
| Content Type | Text |
| Resource Type | Article |
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