Web Corpus Construction
Roland Schafer and Felix Bildhauer, Freie Universitat of Berlin
Synthesis Lectures on Human Language Technologies
Paperback: 9781608459834 / $40.00 / £24.99
eBook ISBN: 9781608459841
July 2013, 145 pages
The World Wide Web constitutes the largest existing source of texts written in a great variety of languages. A feasible and sound way of exploiting this data for linguistic research is to compile a static corpus for a given language. There are several advantages of this approach: (i) Working with such corpora obviates the problems encountered when using Internet search engines in quantitative linguistic research (such as non-transparent ranking algorithms). (ii) Creating a corpus from web data is virtually free. (iii) The size of corpora compiled from the WWW may exceed by several orders of magnitudes the size of language resources offered elsewhere. (iv) The data is locally available to the user, and it can be linguistically post-processed and queried with the tools preferred by her/him. This book addresses the main practical tasks in the creation of web corpora up to giga-token size. Read More <http://www.morganclaypool.com/doi/abs/10.2200/S00508ED1V01Y201305HLT022>
Recognizing Textual Entailment: Models and Applications
Ido Dagan, Bar-Ilan University, Israel
Dan Roth, University of Illinois at Urbana-Champaign
Mark Sammons, University of Illinois at Urbana-Champaign
Fabio Massimo Zanzotto, University of Rome “Tor Vergata” Italy
Paperback: 9781598298345 / $50.00 / £29.99
eBook ISBN: 9781598298352
July 2013, 220 pages
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 other NLP applications, from Machine Translation to Semantic Search to Information Extraction. It also avoids commitment to any specific meaning representation and reasoning framework, broadening its appeal within the research community. This level of abstraction also facilitates evaluation, a crucial component of any technological advancement program. Read More <http://www.morganclaypool.com/doi/abs/10.2200/S00509ED1V01Y201305HLT023>
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