Download Text, Speech and Dialogue: 17th International Conference, by Petr Sojka, Aleš Horák, Ivan Kopeček, Karel Pala PDF

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

This e-book constitutes the refereed court cases of the seventeenth overseas convention on textual content, Speech and discussion, TSD 2013, held in Brno, Czech Republic, in September 2014. The 70 papers awarded including three invited papers have been rigorously reviewed and chosen from 143 submissions. They specialize in themes comparable to corpora and language assets; speech popularity; tagging, class and parsing of textual content and speech; speech and spoken language new release; semantic processing of textual content and speech; integrating functions of textual content and speech processing; automated discussion structures; in addition to multimodal strategies and modelling.

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Additional resources for Text, Speech and Dialogue: 17th International Conference, TSD 2014, Brno, Czech Republic, September 8-12, 2014. Proceedings

Example text

Because our approach aims to introduce an unsupervised hashing scenario, we have left aside the training set and focused all evaluation solely on 7,531 postings contained in the testing set. Words were extracted from postings by considering every non-word character as a word boundary – 93,591 words were thus extracted, among which 41,782 has occured in more than one posting. These words were considered as features by subsequent RRI. Data were not processed in any other way – no stop words were filtered away and all words which occured in more than one posting were taken into account.

Semantic hashing. International Journal of Approximate Reasoning 50(7), 969–978 (2009) 2. : Reflective Random Indexing and indirect inference: A scalable method for discovery of implicit connections. Journal of Biomedical Informatics 43(2), 240–256 (2010) 3. : Enrichir et raisonner sur des espaces sémantiques pour l’attribution de mots-clés. In: JEP-TALN-RECITAL 2012, p. 77 (2012) 4. : Vector-based semantic analysis using random indexing for crosslingual query expansion. , Kluck, M. ) CLEF 2001.

SuMACC Project’s Corpus 33 Table 2. 282 – 34 M. Morchid et al. Table 3. Comparison between the initial and the expanded queries after manual annotation Concept accident_de_la_route (road_accident) age_de_départ_à_la_retraite (retirement_age) alpes apple applications_iphone barack_obama barcelone-real_madrid bnp_paribas brad_pitt can_2012 cisjordanie consoles_portables (portable_game_consoles) cosmétique (cosmetic) dominique_strauss-kahn françois_hollande fukushima galeries_d’art (art_galleries) gameplay ground_zero hôtel_de_ville (city_hall) ipad_2 jacques_chirac javier_pastore jennifer_lopez kanye_west liberté_d’expression (freedom_of_expression) londres_2012 marché_financier (financial_market) mouammar_kadhafi nba oscars otan paris_saint-germain prix_nobel_de_la_paix (nobel_peace_prize) présidentielle_2012 (presidential_elections_2012) psn racisme (racism) real_madrid renseignement_et_espionnage (intelligence_and_espionage) semaine_de_la_mode (fashion_week) stade_de_france steve_jobs tournages (filming) vernissages_et_expositions (openings_and_exhibitions) vitrolles washington zone_euro (eurozone) Total Initial Queries Expanded Queries Yes No Ambiguous Yes No Ambiguous 50 44 4 49 41 9 66 16 16 42 19 38 21 71 7 55 44 0 6 86 6 17 68 13 30 65 3 62 34 3 73 24 2 63 17 18 11 77 11 30 25 45 16 83 0 68 31 0 69 18 11 47 39 12 33 50 16 12 87 0 60 20 20 96 4 0 20 60 20 90 9 0 87 11 0 60 20 18 27 63 9 88 4 6 66 9 23 74 17 8 11 88 0 66 33 0 40 31 28 54 28 16 66 0 33 96 0 3 13 82 4 36 56 7 20 40 40 8 84 8 50 40 10 25 53 21 63 32 4 76 10 13 20 70 10 15 78 5 42 53 4 57 30 12 33 33 33 82 7 10 33 44 22 64 29 5 30 46 23 64 20 16 25 66 8 70 20 8 31 52 15 81 15 3 33 0 66 65 18 16 25 62 12 44 55 0 40 20 40 68 28 4 16 50 33 88 7 3 28 57 14 75 25 0 14 57 28 54 33 12 33 50 16 91 4 4 89 3 7 61 27 11 13 80 6 20 66 13 71 14 14 80 19 0 0 94 4 44 34 20 25 62 12 61 28 9 10 87 2 51 36 11 16 66 16 83 12 4 64 10 25 76 10 12 28 42 28 21 65 13 10 86 3 27 42 29 58 27 13 46 43 9 37% 47% 14% 58% 30% 10% SuMACC Project’s Corpus 35 The SuMACC concept list is composed of 47 concepts corresponding to different kinds of entities that may be searched on the Web, with respect to the project goals; therefore, some of them are very concrete (such as Ipad2 or Jennifer Lopez), while others are much more abstract (such as racism).

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