Future and Emerging Trends in Language Technology. Machine Learning and Big Data: Second International Workshop, FETLT 2016, Seville, Spain, November 30 –December 2, 2016, Revised Selected Papers: Lecture Notes in Computer Science, cartea 10341
Editat de José F Quesada, Francisco-Jesús Martín Mateos, Teresa López Sotoen Limba Engleză Paperback – 29 oct 2017
The 10 full papers and 5 position papers presented in this volume were carefully reviewed and selected from 18 submissions. In 2016 the conference focused on Machine Learning and Big Data.
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Specificații
ISBN-13: 9783319693644
ISBN-10: 3319693646
Pagini: 199
Ilustrații: XII, 199 p. 41 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.3 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3319693646
Pagini: 199
Ilustrații: XII, 199 p. 41 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.3 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
Cuprins
Position Papers.- With or without Meaning? Hype Cycles in Language Technology and what We Can Learn from Them.- Observatory for Language Resources and Machine Translation in Europe - LT Observatory.- The Rise of the Conversational Interface: A new Kid on the Block.- Spanish Language Technologies Plan.- Improving Collaboration between the European Language Technology Industry & Research: A new Framework for Supply & Demand.- Contributed Papers.- LifeLine dialogues with Roberta.- An affective utility model of user motivation for counselling dialogue systems.- Exploring flexibility in natural language generation throughout discursive analysis of new textual genres.- Bootstrapping technique + embeddings = Emotional corpus annotated automatically.- Rapid construction of a web-enabled medical speech to sign language translator using recorded video.- Incorporating syllable phonotactics to improve grapheme to phoneme translation.- Hybrid conceptual and statistical measure for semantic textualsimilarity evaluation.- General representation model for text similarity.- Extending feature decay algorithms using alignment entropy.- Towards a topic discovery and tracking system with application to news items.
Caracteristici
Includes supplementary material: sn.pub/extras