Computational Linguistics And Intelligent Text Processing: 16th International Conference, Cicling 2015, Cairo, Egypt, April 14-20, 2015, Proceedings, Part Ii (lecture Notes In Computer Science)
معرفی کتاب «Computational Linguistics And Intelligent Text Processing: 16th International Conference, Cicling 2015, Cairo, Egypt, April 14-20, 2015, Proceedings, Part Ii (lecture Notes In Computer Science)» نوشتهٔ Alexander Gelbukh (eds.)، منتشرشده توسط نشر Springer International Publishing : Imprint : Springer. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
The Two Volumes Lncs 9041 And 9042 Constitute The Proceedings Of The 16th International Conference On Computational Linguistics And Intelligent Text Processing, Cicling 2015, Held In Cairo, Egypt, In April 2015. The Total Of 95 Full Papers Presented Was Carefully Reviewed And Selected From 329 Submissions. They Were Organized In Topical Sections On Grammar Formalisms And Lexical Resources; Morphology And Chunking; Syntax And Parsing; Anaphora Resolution And Word Sense Disambiguation; Semantics And Dialogue; Machine Translation And Multilingualism; Sentiment Analysis And Emotion Detection; Opinion Mining And Social Network Analysis; Natural Language Generation And Text Summarization; Information Retrieval, Question Answering, And Information Extraction; Text Classification; Speech Processing; And Applications. Sentiment Analysis And Emotion Detection -- The Clsa Model: A Novel Framework For Concept-level Sentiment Analysis -- Building Large Arabic Multi-domain Resources For Sentiment Analysis -- Learning Ranked Sentiment Lexicons -- Modelling Public Sentiment In Twitter: Using Linguistic Patterns To Enhance Supervised Learning -- Trending Sentiment-topic Detection On Twitter -- Emotwitter - A Fine-grained Visualization System For Identifying Enduring Sentiments In Tweets -- Feature Selection For Twitter Sentiment Analysis: An Experimental Study -- An Iterative Emotion Classification Approach For Microblogs -- Aspect-based Sentiment Analysis Using Tree Kernel Based Relation Extraction -- Text Integrity Assessment: Sentiment Profile Vs Rhetoric Structure -- Sentiment Classification With Graph Sparsity Regularization -- Detecting Emotion Stimuli In Emotion-bearing Sentences -- Sentiment-bearing New Words Mining: Exploiting Emoticons And Latent Polarities --^ Identifying Temporal Information And Tracking Sentiment In Cancer Patients’ Interviews -- Using Stylometric Features For Sentiment Classification -- Opinion Mining And Social Network Analysis -- Automated Linguistic Personalization Of Targeted Marketing Messages Mining User-generated Text On Social Media -- Inferring Aspect-specific Opinion Structure In Product Reviews Using Co-training -- Summarizing Customer Reviews Through Aspects And Contexts -- An Approach For Intention Mining Of Complex Comparative Opinion Why Type Questions Asked On Product Review Sites -- Trupi: Twitter Recommendation Based On Users’ Personal Interests -- Detection Of Opinion Spam With Character N-grams -- Content-based Recommender System Enriched With Wordnet Synsets -- Active Learning Based Weak Supervision For Textual Survey Response Classification -- Detecting And Disambiguating Locations Mentioned In Twitter Messages --^ Natural Language Generation And Text Summarization Satisfying Poetry Properties Using Constraint Handling Rules -- A Multi-strategy Approach For Lexicalizing Linked Open Data -- A Dialogue System For Telugu, A Resource-poor Language -- Anti-summaries: Enhancing Graph-based Techniques For Summary Extraction With Sentiment Polarity -- A Two-level Keyphrase Extraction Approach -- Information Retrieval, Question Answering, And Information Extraction Conceptual Search For Arabic Web Content -- Experiments With Query Expansion For Entity Finding -- Mixed Language Arabic-english Information Retrieval -- Improving Cross Language Information Retrieval Using Corpus Based Query Suggestion Approach -- Search Personalization Via Aggregation Of Multidimensional Evidence About User Interests -- Question Analysis For A Closed Domain Question Answering System -- Information Extraction With Active Learning: A Case Study In Legal Text -- Text Classification --^ Term Network Approach For Transductive Classification -- Calculation Of Textual Similarity Using Semantic Relatedness Functions -- Confidence Measure For Czech Document Classification -- An Approach To Tweets Categorization By Using Machine Learning Classifiers In Oil Business -- Speech Processing -- Long-distance Continuous Space Language Modeling For Speech Recognition -- A Supervised Phrase Selection Strategy For Phonetically Balanced Standard Yoruba Corpus -- Semantic Role Labeling Of Speech Transcripts -- Latent Topic Model Based Representations For A Robust Theme Identification Of Highly Imperfect Automatic Transcriptions -- Probabilistic Approach For Detection Of Vocal Pathologies In The Arabic Speech -- Applications -- Clustering Relevant Terms And Identifying Types Of Statements In Clinical Records -- Medical Entities Tagging Using Distant Learning -- Identification Of Original Document By Using Textual Similarities --^ Kalema: Digitizing Arabic Content For Accessibility Purposes Using Crowdsourcing -- An Enhanced Technique For Offline Arabic Handwritten Words Segmentation. Edited By Alexander Gelbukh. Front Matter....Pages 1-26 Front Matter....Pages 1-1 The CLSA Model: A Novel Framework for Concept-Level Sentiment Analysis....Pages 3-22 Building Large Arabic Multi-domain Resources for Sentiment Analysis....Pages 23-34 Learning Ranked Sentiment Lexicons....Pages 35-48 Modelling Public Sentiment in Twitter: Using Linguistic Patterns to Enhance Supervised Learning....Pages 49-65 Trending Sentiment-Topic Detection on Twitter....Pages 66-77 EmoTwitter – A Fine-Grained Visualization System for Identifying Enduring Sentiments in Tweets....Pages 78-91 Feature Selection for Twitter Sentiment Analysis: An Experimental Study....Pages 92-103 An Iterative Emotion Classification Approach for Microblogs....Pages 104-113 Aspect-Based Sentiment Analysis Using Tree Kernel Based Relation Extraction....Pages 114-125 Text Integrity Assessment: Sentiment Profile vs Rhetoric Structure....Pages 126-139 Sentiment Classification with Graph Sparsity Regularization....Pages 140-151 Detecting Emotion Stimuli in Emotion-Bearing Sentences....Pages 152-165 Sentiment-Bearing New Words Mining: Exploiting Emoticons and Latent Polarities....Pages 166-179 Identifying Temporal Information and Tracking Sentiment in Cancer Patients’ Interviews....Pages 180-188 Using Stylometric Features for Sentiment Classification....Pages 189-200 Front Matter....Pages 201-201 Automated Linguistic Personalization of Targeted Marketing Messages Mining User-Generated Text on Social Media....Pages 203-224 Inferring Aspect-Specific Opinion Structure in Product Reviews Using Co-training....Pages 225-240 Summarizing Customer Reviews through Aspects and Contexts....Pages 241-256 An Approach for Intention Mining of Complex Comparative Opinion Why Type Questions Asked on Product Review Sites....Pages 257-271 TRUPI: Twitter Recommendation Based on Users’ Personal Interests....Pages 272-284 Front Matter....Pages 201-201 Detection of Opinion Spam with Character n-grams....Pages 285-294 Content-Based Recommender System Enriched with Wordnet Synsets....Pages 295-308 Active Learning Based Weak Supervision for Textual Survey Response Classification....Pages 309-320 Detecting and Disambiguating Locations Mentioned in Twitter Messages....Pages 321-332 Front Matter....Pages 333-333 Satisfying Poetry Properties Using Constraint Handling Rules....Pages 335-347 A Multi-strategy Approach for Lexicalizing Linked Open Data....Pages 348-363 A Dialogue System for Telugu, a Resource-Poor Language....Pages 364-374 Anti-Summaries: Enhancing Graph-Based Techniques for Summary Extraction with Sentiment Polarity....Pages 375-389 A Two-Level Keyphrase Extraction Approach....Pages 390-401 Front Matter....Pages 403-403 Conceptual Search for Arabic Web Content....Pages 405-416 Experiments with Query Expansion for Entity Finding....Pages 417-426 Mixed Language Arabic-English Information Retrieval....Pages 427-447 Improving Cross Language Information Retrieval Using Corpus Based Query Suggestion Approach....Pages 448-457 Search Personalization via Aggregation of Multidimensional Evidence About User Interests....Pages 458-467 Question Analysis for a Closed Domain Question Answering System....Pages 468-482 Information Extraction with Active Learning: A Case Study in Legal Text....Pages 483-494 Front Matter....Pages 495-495 Term Network Approach for Transductive Classification....Pages 497-515 Calculation of Textual Similarity Using Semantic Relatedness Functions....Pages 516-524 Confidence Measure for Czech Document Classification....Pages 525-534 An Approach to Tweets Categorization by Using Machine Learning Classifiers in Oil Business....Pages 535-546 Front Matter....Pages 547-547 Long-Distance Continuous Space Language Modeling for Speech Recognition....Pages 549-564 A Supervised Phrase Selection Strategy for Phonetically Balanced Standard Yorùbá Corpus....Pages 565-582 Semantic Role Labeling of Speech Transcripts....Pages 583-595 Latent Topic Model Based Representations for a Robust Theme Identification of Highly Imperfect Automatic Transcriptions....Pages 596-605 Probabilistic Approach for Detection of Vocal Pathologies in the Arabic Speech....Pages 606-616 Front Matter....Pages 617-617 Clustering Relevant Terms and Identifying Types of Statements in Clinical Records....Pages 619-630 Medical Entities Tagging Using Distant Learning....Pages 631-642 Identification of Original Document by Using Textual Similarities....Pages 643-654 Kalema: Digitizing Arabic Content for Accessibility Purposes Using Crowdsourcing....Pages 655-662 An Enhanced Technique for Offline Arabic Handwritten Words Segmentation....Pages 663-681 Back Matter....Pages 683-686 This two-volume set, consisting of LNCS 7816 and LNCS 7817, constitutes the thoroughly refereed proceedings of the 13th International Conference on Computer Linguistics and Intelligent Processing, CICLING 2013, held on Samos, Greece, in March 2013. The total of 91 contributions presented was carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections named: general techniques; lexical resources; morphology and tokenization; syntax and named entity recognition; word sense disambiguation and coreference resolution; semantics and discourse; sentiment, polarity, subjectivity, and opinion; machine translation and multilingualism; text mining, information extraction, and information retrieval; text summarization; stylometry and text simplification; and applications.
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