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1-10 of 20 reviews |
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Computational linguistics and deep learning
Manning C. Computational Linguistics 41(4): 701-707, 2015. Type: Article
Deep learning (DL) is an emerging concept in the field of artificial intelligence, expanding its scope from machine learning to other areas of computer science. Mainly, DL proliferates its development to natural language processing (NL...
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May 2 2016 |
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A survey and classification of controlled natural languages
Kuhn T. Computational Linguistics 40(1): 121-170, 2014. Type: Article
An extensive overview, this paper presents a very thorough and fundamental account of controlled natural languages (CNLs)....
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Nov 19 2014 |
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Learning to rank answers to non-factoid questions from Web collections
Surdeanu M., Ciaramita M., Zaragoza H. Computational Linguistics 37(2): 351-383, 2011. Type: Article
Typical question-answering (QA) system answers to factoid questions are usually no longer than two words. However, to be matched correctly to relevant digital documents on the Web, the answers must be very precise--they must c...
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Jan 19 2012 |
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 Unsupervised learning of morphology
Hammarström H., Borin L. Computational Linguistics 37(2): 309-350, 2011. Type: Article
Work on the induction of morphological information from texts is surveyed in this paper. This overview considers only systems that accept as input raw text--that is, unannotated natural language text--and produce as o...
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Jan 16 2012 |
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Generating tailored, comparative descriptions with contextually appropriate intonation
White M., Clark R., Moore J. Computational Linguistics 36(2): 159-201, 2010. Type: Article
The ubiquity of mobile devices provides us with easy access to information in many situations. Most frequently, this information displays as text, or in some other visual manner. In some situations, however, spoken text is preferable, ...
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Nov 3 2011 |
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The dawn of statistical ASR and MT
Jelinek F. Computational Linguistics 35(4): 483-494, 2009. Type: Article
This is Jelinek’s acceptance speech for the Lifetime Achievement Award from the Association for Computational Linguistics (ACR). It is a personal testimony to a lifetime in research that started in the pure--and, at ...
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Jun 3 2010 |
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Evaluating centering for information ordering using corpora
Karamanis N., Mellish C., Poesio M., Oberlander J. Computational Linguistics 35(1): 29-46, 2009. Type: Article
How should a program prioritize different pieces of information in order to make the text more intelligible? Information ordering, especially in the context of automatic text generation systems, tries to answer this particular question...
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Dec 10 2009 |
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Constructing corpora for the development and evaluation of paraphrase systems
Cohn T., Callison-Burch C., Lapata M. Computational Linguistics 34(4): 597-614, 2008. Type: Article
Automatic paraphrasing that provides a means to check the semantic equivalence of syntactically different written statements deriving from different sources improves plagiarism detection, semantic news aggregation, and even information...
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Sep 14 2009 |
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On whose shoulders?
Wilks Y. Computational Linguistics 34(4): 471-486, 2008. Type: Article
This paper is well worth reading. Wilks wrote it on the occasion of receiving an Association for Computational Linguistics (ACL) Lifetime Achievement Award, in 2008. Part autobiography and part history of natural language processing (N...
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Jun 10 2009 |
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Identifying semitic roots: machine learning with linguistic constraints
Daya E., Roth D., Wintner S. Computational Linguistics 34(3): 429-448, 2008. Type: Article
This paper--in the area of morphological analysis in natural language processing--addresses the problem of identifying roots of the words in Semitic languages, such as Hebrew and Arabic. The proposed approach uses mac...
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Jun 2 2009 |
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