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Computational Linguistics and Intelligent Text Processing

  • Couverture cartonnée
  • 692 Nombre de pages
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The two-volume set LNCS 10761 + 10762 constitutes revised selected papers from the CICLing 2017 conference which took place in Bud... Lire la suite
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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.


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.

Informations sur le produit

Titre: Computational Linguistics and Intelligent Text Processing
Code EAN: 9783319771151
ISBN: 3319771159
Format: Couverture cartonnée
Editeur: Springer International Publishing
Genre: Logiciels utilisateurs
nombre de pages: 692
Poids: 1031g
Taille: H235mm x B155mm x T36mm
Année: 2018
Auflage: 1st ed. 2018

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