[PDF.86zz] Recognizing Textual Entailment: Models and Applications (Synthesis Lectures on Human Language Technologies)

Recognizing Textual Entailment: Models and Applications (Synthesis Lectures on Human Language Technologies)

[PDF.dr92] Recognizing Textual Entailment: Models and Applications (Synthesis Lectures on Human Language Technologies)

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 | #3185531 in Books |  2013-07-01 | Original language:English | PDF # 1 |  9.25 x.50 x7.50l,.86 | File type: PDF | 220 pages

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||1 of 1 people found the following review helpful.| Clearly written, comprehensible, and comprehensive|By Kevin B. Cohen|Recognizing textual entailment is the task of determining when one piece of text entails or implies the meaning of another: for example, that “She complains of chest discomfort after meals” entails that “She experiences chest discomfort”, but not that “She has been diagnosed with

In the last few years, a number of NLP researchers have developed and participated in the task of Recognizing Textual Entailment (RTE). This task encapsulates Natural Language Understanding capabilities within a very simple interface: recognizing when the meaning of a text snippet is contained in the meaning of a second piece of text. This simple abstraction of an exceedingly complex problem has broad appeal partly because it can be conceived also as a component in ot...

You can specify the type of files you want, for your device.Recognizing Textual Entailment: Models and Applications (Synthesis Lectures on Human Language Technologies)   |  Ido Dagan, Dan Roth, Mark Sammons, Fabio Massimo Zanzotto. A good, fresh read, highly recommended.

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