NLP

Definitions

  • WordNet 3.6
    • n NLP the branch of information science that deals with natural language information
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Usage


In news:

They are programmed to flash at calculated times, at precise intensity levels to supplement the hypnotic neurolinguistic programming (NLP) I am receiving via headphones.
The Applied Natural Language Processing track is a forum for researchers working in natural language processing (NLP), computational linguistics (CL), applied linguistics (AL) and related areas.
Posts Tagged 'Taylored NLP .
NLP pilots RFID pallet tracking in Norway's food industry.
Our research is motivated by the observation that NLP systems frequently mislabel passive voice verb phrases as being in the active voice when there is no auxiliary verb (e.g.
These errors directly impact thematic role recognition and NLP applications that depend on it.
In this paper we revisit the classical NLP problem of prepositional phrase attachment (PPattachment).
Unfortunately, standard natural language processing (NLP) extraction techniques expect full, grammatical sentences, and perform poorly on the choppy sentence fragments that are often found on web pages.
Lexicon development and Part of Speech (POS) tagging are very important for almost all Natural Language Processing( NLP) application areas.
Using NLP in Your Practice, Part 1.
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In science:

Taking lp2diff as an example, we did a cross-check in order to pinpoint the source of incorrectness on both NLP and WCP.
Testing and Debugging Techniques for Answer Set Solver Development
The size reduction achieved by the OBO and DDMin strategies is almost identical for the three program classes NLP, WCP, and DLP.
Testing and Debugging Techniques for Answer Set Solver Development
For NLP, DDMin results in making over 50% more calls to the solvers than OBO on average (916 and 572 calls, respectively).
Testing and Debugging Techniques for Answer Set Solver Development
This is also reflected in the running times for the strategies on NLP.
Testing and Debugging Techniques for Answer Set Solver Development
For DLPs, however, the situation is the opposite to the NLP case: while the difference in the number of solver calls is relatively small, DDMin is over twice as fast as OBO.
Testing and Debugging Techniques for Answer Set Solver Development
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