Computational Linguistics and Intelligent Text Processing - Info and Reading Options

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Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Semantics and Text Similarity -- Finding Word Sense Embeddings of Known Meaning -- 1 Introduction -- 2 Related Works -- 2.1 Directly Learning Lexical Sense Embeddings -- 2.2 Mapping Induced Senses to Lexical Senses -- 3 Proposed Refitting Framework -- 3.1 A General WSD Method -- 3.2 Geometric Smoothing for General WSD -- 4 Experimental Sense Embedding Models -- 5 Similarity of Words in Context -- 5.1 A New Similarity Measure: RefittedSim -- 5.2 Experimental Setup -- 5.3 Results -- 6 Word Sense Disambiguation -- 6.1 Refitting for Word Sense Disambiguation -- 6.2 Lexical Sense Prior -- 6.3 Experimental Setup -- 6.4 Word Sense Disambiguation Results -- 7 Conclusion -- References -- Using Shallow Semantic Analysis to Implement Automated Quality Assessment of Web Health Care Information -- 1 Introduction -- 2 Related Work -- 3 Method -- 4 Quality Rating Test -- 5 Discussion -- 6 Conclusion -- References -- OntoSenseNet: A Verb-Centric Ontological Resource for Indian Languages -- 1 Introduction -- 2 Previous Work -- 3 Formal Ontology of Language -- 4 Resource Building -- 4.1 Data Acquisition -- 4.2 Sense-Identification -- 4.3 User Interface -- 5 Resource Validation -- 6 Resource Enrichment and Utilization -- 6.1 Sense-Identification of Verbs and Adverbs Using Word Embeddings -- 6.2 Representation of Verbs Through Adverbial Semantics -- 7 Conclusion and Future Work -- References -- Detection of Change in the Senses of AI in Popular Discourse -- 1 Introduction -- 1.1 Related Works -- 2 Word Representation -- 3 Methodology -- 4 Experiments -- 4.1 Preliminary Analysis -- 4.2 Word Usage Analysis -- 4.3 Change in Meaning of AI Across Time -- 5 Conclusion -- References -- Sparse Word Representation for RNN Language Models on Cellphones -- 1 Introduction -- 2 Related Works

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