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Computational Linguistics and Intelligent Text Processing: 18th International Conference, CICLing 2017, Budapest, Hungary, April 17–23, 2017, Revised Selected Papers, Part II de Alexander Gelbukh

Computational Linguistics and Intelligent Text Processing: 18th International Conference, CICLing 2017, Budapest, Hungary, April 17–23, 2017, Revised Selected Papers, Part II: Lecture Notes in Computer Science, cartea 10762

Editat de Alexander Gelbukh
en Limba Engleză Paperback – 10 oct 2018
The two-volume set LNCS 10761 + 10762 constitutes revised selected papers from the CICLing 2017 conference which took place in Budapest, Hungary, in April 2017.
The total of 90 papers presented in the two volumes was carefully reviewed and selected from numerous submissions. In addition, the proceedings contain 4 invited papers.
The papers are organized in the following topical sections:
Part I: general; morphology and text segmentation; syntax and parsing; word sense disambiguation; reference and coreference resolution; named entity recognition; semantics and text similarity; information extraction; speech recognition; applications to linguistics and the humanities.
Part II: sentiment analysis; opinion mining; author profiling and authorship attribution; social network analysis; machine translation; text summarization; information retrieval and text classification; practical applications. 
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Specificații

ISBN-13: 9783319771151
ISBN-10: 3319771159
Pagini: 637
Ilustrații: XIX, 670 p. 139 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.95 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues

Locul publicării:Cham, Switzerland

Cuprins

Sentiment Analysis.- A Comparison among Significance Tests and Other Feature Building Methods for Sentiment Analysis: A First Study.- BATframe: An Unsupervised Approach for Domain-sensitive Affect Detection.- Leveraging Target-oriented Information for Stance Classification.- Sentiment Polarity Classification of Figurative Language: Exploring the Role of Irony-Aware and Multifaceted Affect Features.- Sarcasm Annotation and Detection in Tweets.- Modeling the Impact of Modifiers on Emotional Statements.- CSenticNet: A Concept-Level Resource for Sentiment Analysis in Chinese Language.- Emotional Tone Detection in Arabic Tweets.- Morphology based Arabic Sentiment Analysis of Book Reviews.- Adaptation of Sentiment Analysis Techniques to Persian Language.- Verb-mediated Composition of Attitude Relations Comprising Reader and Writer Perspective.- Customer Churn Prediction using Sentiment Analysis and Text Classification of VOC.-Benchmarking Multimodal Sentiment Analysis.- Machine learning approaches for speech emotion recognition: Classic and novel advances.- Opinion Mining.- Mining Aspect-Specific Opinions from Online Reviews Using a Latent Embedding Structured Topic Model.- A comparative study of target-based and entity-based opinion extraction.- Supervised Domain Adaptation via Label Alignment for Opinion Expression Extraction.- Comment relevance classification in Facebook.- Detecting Sockpuppets in Deceptive Opinion Spam.- Author Profiling and Authorship Attribution.- Reading the Author and Speaker: Towards a Holistic and Deep Approach on Automatic Assessment of What is in One's Words.- Improving Cross-Topic Authorship Attribution: The Role of Pre-Processing.- Author Identification using Latent Dirichlet Allocation.- Personality Recognition using Convolutional Neural Networks.- Character-Level Dialect Identi_cation in Arabic Using Long Short-Term Memory.- A Text Semantic Similarity Approach for Arabic Paraphrase Detection.- Social Network Analysis.- Curator: Enhancing Micro-blogs Ranking by Exploiting User's Context.- A Multi-view Clustering Model for Event Detection in Twitter.- Monitoring Geographical Entities with Temporal Awareness in Tweets.- Just the Facts: Winnowing Microblogs for Newsworthy Statements using Non-Lexical Features.- Impact Of Content Features For Automatic Online Abuse Detection.- Detecting Aggressive Behavior in Discussion Threads Using Text Mining.- Machine Translation.- Combining Machine Translation Systems with Quality Estimation.- Evaluation of Neural Machine Translation for Highly Inflected and Small Languages.- Towards Translating Mixed-Code Comments from Social Media.- Multiple System Combination for PersoArabic-Latin Transliteration.- Building a Location Dependent Dictionary for Speech Translation Systems.- Text Summarization.- Gold Standard Online Debates Summaries and First Experiments Towards Automatic Summarization of Online Debate Data.- Optimization in Extractive Summarization Processes through Automatic Classification.- Summarizing Weibo with Topics Compression.- Timeline Generation based on a Two-stage Event-time Anchoring Model.- Information Retrieval and Text Classification.- Efficient Semantic Search over Structured Web Data: A GPU Approach.- Efficient Association Rules Selection for Automatic Query Expansion.- Text-to-concept: a semantic indexing framework for Arabic News videos.- Approximating Multi-Class Text Classification via Automatic Generation of Training Examples.- Practical Applications.- Generating Appealing Brand Names.- Radiological text simplification using a general knowledge base.- Mining Supervisor Evaluation and Peer Feedback in Performance Appraisals.- Automatic Detection of Uncertain Statements in the Financial Domain.- Automatic Question Generation from Passages.

Caracteristici

Up-to-date results in computational linguistics and intelligent text processing Fast-track conference proceedings State-of-the-art research

Textul de pe ultima copertă

This two-volume set, consisting of LNCS 7181 and LNCS 7182, constitutes the thoroughly refereed proceedings of the 13th International Conference on Computer Linguistics and Intelligent Processing, held in New Delhi, India, in March 2012.
The total of 92 full papers were carefully reviewed and selected for inclusion in the proceedings. The contents have been ordered according to the following topical sections: NLP system architecture; lexical resources; morphology and syntax; word sense disambiguation and named entity recognition; semantics and discourse; sentiment analysis, opinion mining, and emotions; natural language generation; machine translation and multilingualism; text categorization and clustering; information extraction and text mining; information retrieval and question answering; document summarization; and applications.