000 03785nam a22006255i 4500
001 978-3-319-10816-2
003 DE-He213
005 20200421111847.0
007 cr nn 008mamaa
008 140901s2014 gw | s |||| 0|eng d
020 _a9783319108162
_9978-3-319-10816-2
024 7 _a10.1007/978-3-319-10816-2
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aText, Speech and Dialogue
_h[electronic resource] :
_b17th International Conference, TSD 2014, Brno, Czech Republic, September 8-12, 2014. Proceedings /
_cedited by Petr Sojka, Aleš Hor�ak, Ivan Kopeček, Karel Pala.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXVI, 613 p. 114 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v8655
505 0 _aEmpiric Introduction to Light Stochastic Binarization -- Comparative Study Concerning the Role of Surface Morphological Features in the Induction of Part-of-Speech Categories -- Automatic Adaptation of Author's Stylometric Features to Document Types -- Detecting Commas in Slovak Legal Texts -- Detection and Classification of events in Hungarian natural language texts -- Generating Underspecified Descriptions of Landmark Objects -- A Topic Model Scoring Approach for Personalized QA Systems -- Feature Exploration for Authorship Attribution of Lithuanian Parliamentary Speeches -- Processing of Quantitative Expressions with Measurement Units in the Nominative, Genitive, and Accusative Cases for Belarusian and Russian -- Document Classification with Deep Rectifier Neural Networks and Probabilistic Sampling -- Sentence Similarity by Combining Explicit Semantic Analysis and Overlapping N-grams.
520 _aThis book constitutes the refereed proceedings of the 17th International Conference on Text, Speech and Dialogue, TSD 2013, held in Brno, Czech Republic, in September 2014. The 70 papers presented together with 3 invited papers were carefully reviewed and selected from 143 submissions. They focus on topics such as corpora and language resources; speech recognition; tagging, classification and parsing of text and speech; speech and spoken language generation; semantic processing of text and speech; integrating applications of text and speech processing; automatic dialogue systems; as well as multimodal techniques and modelling.
650 0 _aComputer science.
650 0 _aDatabase management.
650 0 _aData mining.
650 0 _aInformation storage and retrieval.
650 0 _aArtificial intelligence.
650 0 _aPattern recognition.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aInformation Systems Applications (incl. Internet).
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aDatabase Management.
650 2 4 _aPattern Recognition.
650 2 4 _aData Mining and Knowledge Discovery.
700 1 _aSojka, Petr.
_eeditor.
700 1 _aHor�ak, Aleš.
_eeditor.
700 1 _aKopeček, Ivan.
_eeditor.
700 1 _aPala, Karel.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319108155
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v8655
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-10816-2
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912 _aZDB-2-LNC
942 _cEBK
999 _c55877
_d55877