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Computational linguistics and intelligent text processing : 17th International Conference, CICLing 2016, Konya, Turkey, April 3-9, 2016, Revised Selected Papers. Part I

Computational linguistics and intelligent text processing : 17th International Conference, CICLing 2016, Konya, Turkey, April 3-9, 2016, Revised Selected Papers. Part I (Loan 2 times)

Material type
단행본
Personal Author
Gelbukh, Alexander.
Title Statement
Computational linguistics and intelligent text processing : 17th International Conference, CICLing 2016, Konya, Turkey, April 3-9, 2016, Revised Selected Papers. Part I / Alexander Gelbukh (ed.).
Publication, Distribution, etc
Cham, Switzerland :   Springer,   c2018.  
Physical Medium
xxxi, 678 p. : ill. ; 24 cm.
ISBN
9783319754765
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Text processing (Computer science) --Congresses. Computational linguistics --Congresses. Discourse analysis --Data processing --Congresses. Information storage and retrieval systems --Congresses.
000 00000nam u2200205 a 4500
001 000045960341
005 20181108162657
008 181107s2018 sz a b 101 0 eng d
020 ▼a 9783319754765
040 ▼a 211009 ▼c 211009 ▼d 211009
082 0 4 ▼a 006.35 ▼2 23
084 ▼a 006.35 ▼2 DDCK
090 ▼a 006.35 ▼b C738
245 0 0 ▼a Computational linguistics and intelligent text processing : ▼b 17th International Conference, CICLing 2016, Konya, Turkey, April 3-9, 2016, Revised Selected Papers. Part I / ▼c Alexander Gelbukh (ed.).
260 ▼a Cham, Switzerland : ▼b Springer, ▼c c2018.
300 ▼a xxxi, 678 p. : ▼b ill. ; ▼c 24 cm.
504 ▼a Includes bibliographical references and index.
650 0 ▼a Text processing (Computer science) ▼v Congresses.
650 0 ▼a Computational linguistics ▼v Congresses.
650 0 ▼a Discourse analysis ▼x Data processing ▼v Congresses.
650 0 ▼a Information storage and retrieval systems ▼v Congresses.
700 1 ▼a Gelbukh, Alexander.
711 2 ▼a CICLing (Conference) ▼n (17th : ▼d 2016 : ▼c Konya, Turkey).
945 ▼a KLPA

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 006.35 C738 Accession No. 111799127 Availability Available Due Date Make a Reservation Service B M
No. 2 Location Main Library/Western Books/ Call Number 006.35 C738 Accession No. 111805353 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

Adam Kilgarriff's Legacy to Computational Linguistics and Beyond.- General Formalisms.- A Roadmap towards Machine Intelligence.- Algebraic specification for interoperability between data formats: Application on Arabic lexical data.- Persianp: a Persian Text Processing Toolbox.- Embeddings, Language Modeling, and Sequence Labeling.- Generating Bags of Words from the Sums of their Word Embeddings.- New word analogy corpus for exploring embeddings of Czech words.- Using embedding models for lexical categorization in morphologically rich languages.- A new language model based on possibility theory.- Combining Discrete and Neural Features for Sequence Labeling.- New Recurrent Neural Network Variants for Sequence Labeling.- Lexical Resources and Terminology Extraction.- Mining the Web for Collocations: IR Models of Term Associations.- A Continuum-based Model of Lexical Acquisition.- DESCRIPTION OF TURKISH PARAPHRASE CORPUS STRUCTURE AND GENERATION METHOD.- Extracting Terminological Relationships from Historical Patterns of Social Media Terms.- Adaptation of cross-lingual transfer methods for the building of medical terminology in Ukrainian.- Adaptation of a term extractor to Arabic specialised texts: first experiments and limits.- Morphology and Part-of-Speech Tagging.- Corpus Frequency and Affix Ordering in Turkish.- Pluralising Nouns in isiZulu and Related Languages.- Morphological Analysis of Urdu Verbs.- Stemming and Segmentation for Classical Tibetan.- Part of Speech Tagging for Polish: State of the Art and Future Perspectives.- Turkish PoS Tagging by Reducing Sparsity with Morpheme Tags in Small Datasets.- Part-of-Speech Tagging for Code mixed English-Telugu Social media data.- Syntax and Chunking.- Analysis of Word Order in Multiple Treebanks.- A Framework for Language Resource Construction and Syntactic Analysis: Case of Arabic.- Enhancing Neural Network based Dependency Parsing Using Morphological Information for Hindi.- Construction Grammar based Annotation Framework for parsing Tamil.- Comparative Error Analysis Of Parser Outputs On Telugu Dependency Treebank Data.- Gut, Besser, Chunker - Selecting the best models for text chunking with voting.- Named Entity Recognition.- A Deep Learning Solution to Named Entity Recognition.- Deep Learning Approach for Arabic Named Entity Recognition.- Hybrid Feature Selection Approach for Arabic Named Entity Recognition.- Named-Entity-Recognition (NER) for Tamil Language Using Margin-Infused Relaxed Algorithm (MIRA).- Word Sense Disambiguation and Anaphora Resolution.- Word Sense Disambiguation Using Swarm Intelligence: A Bee Colony Optimization Approach.- Verb Sense Annotation For Turkish PropBank via Crowdsourcing.- Coreference Resolution for French Oral Data: Machine Learning Experiments with ANCOR.- Arabic Anaphora resolution using Markov decision process.- Arabic Pronominal Anaphora Resolution Based on New Set of Features.- Semantics, Discourse, and Dialog.- GpSense: A GPU-friendly method for common-sense subgraph matching in massively parallel architectures.- Parameters driving effectiveness of LSA on topic segmentation.- A New Russian Paraphrase Corpus. Paraphrase Identification and Classification Based on Different Prediction Models.- Constructing A Turkish Corpus for Paraphrase Identification and Semantic Similarity.- Evaluation of Semantic Relatedness Measures for Turkish Language.- Using sentence semantic similarity to improve LMF standardized Arabic dictionary quality.- Multiword Expressions (MWE) for Mizo Language: Literature Survey.- Classification of Textual Genres using Discourse Information.- Features for discourse-new referent detection in Russian.- A Karaka Dependency based Dialog Act Tagging for Telugu using Combination of LMs and HMM.


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