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Text, Speech and Dialogue: 13th International Conference, TSD 2010, Brno, Czech Republic, September 6-10, 2010.Proceedings de Petr Sojka

Text, Speech and Dialogue: 13th International Conference, TSD 2010, Brno, Czech Republic, September 6-10, 2010.Proceedings: Lecture Notes in Computer Science, cartea 6231

Editat de Petr Sojka, Aleš Horák, Ivan Kopeček, Karel Pala
en Limba Engleză Paperback – 30 aug 2010

Metodologia prezentată în volumul Text, Speech and Dialogue, editat de Petr Sojka și colaboratorii săi, se concentrează pe intersecția tehnică dintre procesarea limbajului natural (NLP) și tehnologiile de recunoaștere a vorbirii. Observăm o rigoare academică ridicată, confirmată de rata de selecție de sub 50%, ceea ce garantează o densitate mare de informații despre arhitecturi de sistem și modele computaționale avansate. Structura este organizată logic, începând cu lucrări invitate care trasează direcțiile actuale în aplicații de tip real-world parsing și evoluția designului decodoarelor ASR.

Suntem de părere că valoarea acestui volum rezidă în abordarea granulară a componentelor de procesare. Secțiunea dedicată textului explorează structuri de evenimente în Wordnets, relații lexical-conceptuale și metode de identificare a duplicatelor semantice prin învățare automată. În ceea ce privește arhitectura sistemelor, lucrarea detaliază utilizarea motoarelor de căutare PML-TQ pentru lexicoane de valență și tehnici de rezoluție a anaforei. Credem că această progresie, de la unități lexicale izolate la sisteme complexe de Question Answering pentru Web-ul semantic, oferă o imagine clară asupra provocărilor de implementare în ingineria limbajului.

În cadrul seriei Lecture Notes in Computer Science, acest număr se distinge prin efortul de a unifica cercetarea teoretică cu necesitățile practice ale sistemelor de dialog. Sunt documentate atât abordări bazate pe reguli, cât și metode statistice, oferind specificații concrete pentru dezvoltatorii care lucrează la interfețe om-mașină și la optimizarea regăsirii informației prin procesare lingvistică profundă.

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Specificații

ISBN-13: 9783642157592
ISBN-10: 3642157599
Pagini: 608
Ilustrații: XIV, 593 p. 120 illus.
Dimensiuni: 12 x 93 x 33 mm
Greutate: 0.89 kg
Ediția:2010
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

De ce să citești această carte

Pentru cercetătorii și inginerii din domeniul Inteligenței Artificiale, acest volum oferă o bază tehnică solidă pentru implementarea sistemelor NLP moderne. Cititorul câștigă acces la metodologii validate de evaluare a parserelor și la tehnici avansate de dezambiguizare semantică. Este o resursă esențială pentru a înțelege cum pot fi integrate procesarea textului și recunoașterea vorbirii în sisteme de dialog funcționale, bazate pe date experimentale și modele matematice riguroase.

Cuprins

Invited Papers.- Parsing and Real-World Applications.- Knowledge for Everyman.- Evolution of the ASR Decoder Design.- Text.- Encoding Event and Argument Structures in Wordnets.- Lexical-Conceptual Relations as Qualia Role Encoders.- Towards Disambiguation of Word Sketches.- Towards an N-Version Dependency Parser.- Advanced Searching in the Valency Lexicons Using PML-TQ Search Engine.- These Nouns That Hide Events: An Initial Detection.- Can Corpus Pattern Analysis Be Used in NLP?.- Extracting Human Spanish Nouns.- Semantic Duplicate Identification with Parsing and Machine Learning.- Comparison of Different Lemmatization Approaches through the Means of Information Retrieval Performance.- Evaluation of a Sentence Ranker for Text Summarization Based on Roget’s Thesaurus.- Real Anaphora Resolution Is Hard.- Event-Time Relation Identification Using Machine Learning and Rules.- Question Answering for Not Yet Semantic Web.- Automatic Acquisition of Wordnet Relations by Distributionally Supported Morphological Patterns Extracted from Polish Corpora.- Study on Named Entity Recognition for Polish Based on Hidden Markov Models.- Semantic Role Patterns and Verb Classes in Verb Valency Lexicon.- Opinion Mining by Transformation-Based Domain Adaptation.- Improving Automatic Image Captioning Using Text Summarization Techniques.- Perplexity of n-Gram and Dependency Language Models.- Analysis of Czech Web 1T 5-Gram Corpus and Its Comparison with Czech National Corpus Data.- Borda-Based Voting Schemes for Semantic Role Labeling.- Towards a Bank of Constituent Parse Trees for Polish.- Coverage-Based Methods for Distributional Stopword Selection in Text Segmentation.- Using TectoMT as a Preprocessing Tool for Phrase-Based Statistical Machine Translation.- Automatic SentimentAnalysis Using the Textual Pattern Content Similarity in Natural Language.- Speech.- Correlation Features and a Linear Transform Specific Reproducing Kernel.- Automatic Detection and Evaluation of Edentulous Speakers with Insufficient Dentures.- Diagnostics for Debugging Speech Recognition Systems.- Automatic Lip Reading in the Dutch Language Using Active Appearance Models on High Speed Recordings.- Towards the Optimal Minimization of a Pronunciation Dictionary Model.- Multimodal Emotion Recognition Based on the Decoupling of Emotion and Speaker Information.- Listening-Test-Based Annotation of Communicative Functions for Expressive Speech Synthesis.- Czech HMM-Based Speech Synthesis.- Using Syllables as Acoustic Units for Spontaneous Speech Recognition.- Embedded Speech Recognition in UPnP (DLNA) Environment.- Estonian: Some Findings for Modelling Speech Rhythmicity and Perception of Speech Rate.- Using Gradient Descent Optimization for Acoustics Training from Heterogeneous Data.- Recovery of Rare Words in Lecture Speech.- Enhancing Emotion Recognition from Speech through Feature Selection.- Collection and Analysis of Data for Evaluation of Concatenation Cost Functions.- Emotion Recognition from Speech by Combining Databases and Fusion of Classifiers.- Emologus—A Compositional Model of Emotion Detection Based on the Propositional Content of Spoken Utterances.- Automatic Segmentation of Parasitic Sounds in Speech Corpora for TTS Synthesis.- Adapting Lexical and Language Models for Transcription of Highly Spontaneous Spoken Czech.- Fast Phonetic/Lexical Searching in the Archives of the Czech Holocaust Testimonies: Advancing Towards the MALACH Project Visions.- CORPRES.- Hybrid HMM/BLSTM-RNN for Robust Speech Recognition.- Some Aspects of ASR Transcription BasedUnsupervised Speaker Adaptation for HMM Speech Synthesis.- Online TV Captioning of Czech Parliamentary Sessions.- Adaptation of a Feedforward Artificial Neural Network Using a Linear Transform.- Gender-Dependent Acoustic Models Fusion Developed for Automatic Subtitling of Parliament Meetings Broadcasted by the Czech TV.- Parallel Training of Neural Networks for Speech Recognition.- Design and Implementation of a Bayesian Network Speech Recognizer.- Special Speech Synthesis for Social Network Websites.- Robust Statistic Estimates for Adaptation in the Task of Speech Recognition.- A Priori and A Posteriori Machine Learning and Nonlinear Artificial Neural Networks.- Posterior Estimates and Transforms for Speech Recognition.- Dialogue.- A Multimodal Dialogue System for an Ambient Intelligent Application in Home Environments.- Integrating Aggregation Strategies in an In-Home Domain Dialogue System.- A Methodology for Learning Optimal Dialog Strategies.- The Structure of a Discontinuous Dialogue Formed by Internet Comments.- Using Knowledge about Misunderstandings to Increase the Robustness of Spoken Dialogue Systems.- Linguistic Adaptation in Semi-natural Dialogues: Age Comparison.- Automatic Speech Recognition Based on Multiple Level Units in Spoken Dialogue System for In-Vehicle Appliances.- Dialogue System Based on EDECÁN Architecture.- Integration of Speech and Text Processing Modules into a Real-Time Dialogue System.- Client and Speech Detection System for Intelligent Infokiosk.- Prototype of Czech Spoken Dialog System with Mixed Initiative for Railway Information Service.- An NLP-Oriented Analysis of the Instant Messaging Discourse.- Expressive Gibberish Speech Synthesis for Affective Human-Computer Interaction.

Caracteristici

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Descriere

The annual Text, Speech and Dialogue Conference (TSD), which originatedin 1998, is now startingits second decade. So far more than 1,000 authors from 45 countries have contributed to the proceedings. TSD constitutes a recognizedplatform for the presen- tion and discussion of state-of-the-art technology and recent achievementsin the ?eld of natural language processing. It has become aninterdisciplinary forum, interwe- ing the themes of speech technology and language processing. The conference attracts researchers not only from Central and Eastern Europe but also from other parts of the world. Indeed, one ofitsgoals has always been to bring together NLP researchers with differentinterests from different parts of the world and to promote theirmutual co- eration. One of the ambitions of the conferenceis, asits title says, not only to deal with dialogue systems as such, but also to contribute toimproving dialogue between researchersin the two areas of NLP, i. e., between text and speech people. In ourview, the TSD Conference was successfulinthis respect againin 2010. Thisvolume contains the proceedings of the 13th TSD Conference, heldin Brno, Czech Republicin September 2010. In the review process, 71 papers were accepted out of 144 submitted, an acceptance rate of 49. 3%. We would like to thank all the authors for the efforts they putinto theirsubmissions and the members ofProgram Comm- tee and reviewers who did a wonderfuljob helpingus to select the most appropriate papers. We are alsogratefultotheinvited speakers for their contributions. Theirtalks provideinsightintoimportant currentissues, applications and techniques related to the conference topic