By Petr Sojka, Aleš Horák, Ivan Kopeček, Karel Pala

ISBN-10: 3319455095

ISBN-13: 9783319455099

ISBN-10: 3319455109

ISBN-13: 9783319455105

This booklet constitutes the refereed complaints of the nineteenth overseas convention on textual content, Speech, and discussion, TSD 2016, held in Brno, CzechRepublic, in September 2016.

The sixty two papers offered including three abstracts of invited talks have been conscientiously reviewed and chosen from 127 submissions. They specialise in subject matters resembling corpora and language assets; speech attractiveness; tagging, type and parsing of textual content and speech; speech and spoken language iteration; semantic processing of textual content and speech; integrating functions of textual content and speech processing; computerized discussion structures; in addition to multimodal ideas and modelling.

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Extra resources for Text, Speech, and Dialogue: 19th International Conference, TSD 2016, Brno , Czech Republic, September 12-16, 2016, Proceedings

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Two linguists annotated the randomly selected subset. We calculated the value of the positive specific agreement (PSA) for each category. The results are presented in Table 2. According to [7] the best quality of data was achieved for TempEval-3 platinum corpus (T3Platinum, which contains 6375 tokens) and it was annotated and reviewed by the organizers. Every file was annotated independently by 1 The comprehensive description of the modified guidelines is presented in [3]. 14 J. Koco´ n and M. Marci´ nczuk Table 1.

One of the many examples is using it for determining authorship of anonymous documents. Stylometry corpora differ from classic web corpora by giving more emphasis on the relationship between the author and his documents. It focuses on documents, which are associated with certain author, so we can simply get various information from it. We can determine what vocabulary the author is using, how he is constructing sentences etc [10]. 1 Site Style Tree Algorithm The most important part of our work is to detect the structure of the web and extract parts which contain the main text of the article.

MQL is a template-base querying language which uses Google API service for querying Freebase in real time. We query the entity MID of each span. We have two alternatives to obtain initial entity MIDs: greedy and full. In the greedy approach, only the longest valid entities are considered and their substrings, which may be still valid, are disregarded. In the full approach, however, all the entities are considered. For instance, in a simple span like “time zone”, the greedy approach returns only time zone while the full approach returns time, zone and time zone.

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Text, Speech, and Dialogue: 19th International Conference, TSD 2016, Brno , Czech Republic, September 12-16, 2016, Proceedings by Petr Sojka, Aleš Horák, Ivan Kopeček, Karel Pala


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