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Computational Linguistics and Intelligent Text Processing|Alexander Gelbukh

Computational Linguistics and Intelligent Text Processing : 16th International Conference, Cicling 2015, Cairo, Egypt, April 14-20, 2015, Proceedings,

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Overview

Grammar Formalisms and Lexical Resources.- Towards a Universal Grammar for Natural Language Processing.- Deletions and Node Reconstructions in a Dependency-Based Multilevel Annotation Scheme.- Enriching, Editing, and Representing Interlinear Glossed Text.- Comparing Neural Lexical Models of a Classic National Corpus and a Web Corpus: The Case for Russian.- Lexical Network Enrichment Using Association Rules Model.- When Was Macbeth Written? Mapping Book to Time.- Tharawat: A Vision for a Comprehensive Resource for Arabic Computational Processing.- High Quality Arabic Lexical Ontology Based on MUHIT, WordNet, SUMO and DBpedia.- Building a Nasa Yuwe Language Test Collection.- Morphology and Chunking.- Making Morphologies the"Easy" Way.- To Split or Not, and If so, Where? Theoretical and Empirical Aspects of Unsupervised Morphological Segmentation.- Data-Driven Morphological Analysis and Disambiguation for Kazakh.- Statistical Sandhi Splitter for Agglutinative Languages.- Chunking in Turkish with Conditional Random Fields.- Syntax and Parsing.- Statistical Arabic Grammar Analyzer.- Bayesian Finite Mixture Models for Probabilistic Context-Free Grammars.- Employing Oracle Confusion for Parse Quality Estimation.- Experiments on Sentence Boundary Detection in User-Generated Web Content.- Anaphora Resolution and Word Sense Disambiguation.- An Investigation of Neural Embeddings for Coreference Resolution.- Feature Selection in Anaphora Resolution for Bengali: A Multiobjective Approach.- A Language Modeling Approach for Acronym Expansion Disambiguation.- Web Person Disambiguation Using Hierarchical Co-reference Model.- Semantics and Dialogue.- From Natural Logic to Natural Reasoning.- A Unified Framework to Identify and Extract Uncertainty Cues, Holders, and Scopes in One Fell-Swoop.- Lemon and Tea Are Not Similar: Measuring Word-to-Word Similarity by Combining Different Methods.- Domain-Specific Semantic Relatedness from Wikipedia Structure: A Case Study in Biomedical Text.- Unsupervised Induction of Meaningful Semantic Classes through Selectional Preferences.- Hypernym Extraction: Combining Machine-Learning and Dependency Grammar.- Arabic Event Detection in Social Media.- Learning Semantically Rich Event Inference Rules Using Definition of Verbs.- Rehabilitation of Count-Based Models for Word Vector Representations.- Word Representations in Vector Space and their Applications for Arabic.- Short Text Hashing Improved by Integrating Multi-granularity Topics and Tags.- A Computational Approach for Corpus Based Analysis of Reduplicated Words in Bengali.- Automatic Dialogue Act Annotation within Arabic Debates.- E-Quotes: Enunciative Modalities Analysis Tool for Direct Reported Speech in Arabic.- Textual Entailment Using Different Similarity Metrics.- Machine Translation and Multilingualism.- Translation Induction on Indian Language Corpora Using Translingual Themes from Other Languages.- English-Arabic Statistical Machine Translation: State of the Art.- Mining Parallel Resources for Machine Translation from Comparable Corpora.- Statistical Machine Translation from and into Morphologically Rich and Low Resourced Languages.- Adaptive Tuning for Statistical Machine Translation (AdapT).- A Hybrid Approach for Word Alignment with Statistical Modeling and Chunker.- Improving Bilingual Search Performance Using Compact Full-Text Indices.- Neutralizing the Effect of Translation Shifts on Automatic Machine Translation Evaluation.- Arabic Transliteration of Romanized Tunisian Dialect Text: A Preliminary Investigation.- Cross-Dialectal Arabic Processing.- Language Set Identification in Noisy Synthetic Multilingual Documents.- Feature Analysis for Native Language Identification.

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Details

  • ISBN-13: 9783319181103
  • ISBN-10: 3319181106
  • Publisher: Springer
  • Publish Date: April 2015
  • Dimensions: 9.21 x 6.14 x 1.39 inches
  • Shipping Weight: 2.1 pounds
  • Page Count: 662

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