Computational Linguistics and Intelligent Text Processing : 17th International Conference, CICLing 2016, Konya, Turkey, April 3-9, 2016, Revised Selected Papers, Part I / edited by Alexander Gelbukh.

Format:

Book

Contributor:

Gelbukh, Alexander., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 9623

Theoretical Computer Science and General Issues, 2512-2029 ; 9623

Language:

English

Subjects (All):

Natural language processing (Computer science).

Computational linguistics.

Data mining.

Application software.

Artificial intelligence.

Natural Language Processing (NLP).

Computational Linguistics.

Data Mining and Knowledge Discovery.

Computer and Information Systems Applications.

Artificial Intelligence.

Local Subjects:

Natural Language Processing (NLP).

Computational Linguistics.

Data Mining and Knowledge Discovery.

Computer and Information Systems Applications.

Artificial Intelligence.

Physical Description:

1 online resource (XXXI, 678 pages) : 115 illustrations

Edition:

1st ed. 2018.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2018.

System Details:

text file PDF

Summary:

The two-volume set LNCS 9623 + 9624 constitutes revised selected papers from the CICLing 2016 conference which took place in Konya, Turkey, in April 2016. The total of 89 papers presented in the two volumes was carefully reviewed and selected from 298 submissions. The book also contains 4 invited papers and a memorial paper on Adam Kilgarriff's Legacy to Computational Linguistics. The papers are organized in the following topical sections: Part I: In memoriam of Adam Kilgarriff; general formalisms; embeddings, language modeling, and sequence labeling; lexical resources and terminology extraction; morphology and part-of-speech tagging; syntax and chunking; named entity recognition; word sense disambiguation and anaphora resolution; semantics, discourse, and dialog. Part II: machine translation and multilingualism; sentiment analysis, opinion mining, subjectivity, and social media; text classification and categorization; information extraction; and applications. .

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.

Other Format:

Printed edition:

ISBN:

978-3-319-75477-2

9783319754772

Access Restriction:

Restricted for use by site license.