Computational Linguistics and Intelligent Text Processing : 17th International Conference, CICLing 2016, Konya, Turkey, April 3-9, 2016, Revised Selected Papers, Part II / 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, 9624

Theoretical Computer Science and General Issues, 2512-2029 ; 9624

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, 632 pages) : 97 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:

Machine Translation and Multilingualism

Enabling Medical Translation for Low-Resource Languages

Combining Phrase and Neural-based Machine Translation: what worked and did not

Combining machine translated sentence chunks from multiple MT systems

Forest to String Based Statistical Machine Translation with Hybrid Word Alignments

Instant Translation Model Adaptation by Translating Unseen Words in Continuous Vector Space

Fast-Syntax-Matching-based Japanese-Chinese Limited Machine Translation

A Classifier-based Preordering Approach for English-Vietnamese Statistical Machine Translation

Quality Estimation for English-Hungarian Machine Translation Systems with Optimized Semantic Features

Genetic-based decoder for statistical machine translation

Bilingual Contexts from Comparable Corpora to Mine for Translations of Collocations

Bi-Text Alignment of Movie Subtitles for Spoken English-Arabic Statistical Machine Translation

A Parallel Corpus of Translationese

A Low Dimensionality Representation for Language Variety Identification

Sentiment Analysis, Opinion Mining, Subjectivity, and Social Media

Towards Empathetic Human-Robot Interactions

Extracting Aspect Specific Sentiment Expressions implying Negative Opinions

Aspect Terms Extraction of Arabic Dialects for Opinion Mining Using Conditional Random Fields

Large Scale Authorship Attribution of Online Reviews

Discovering Correspondence of Sentiment Words and Aspects

Aspect Based Sentiment Analysis: Category Detection and Sentiment Classifcation for Hindi

A New Emotional Vector Representation For Sentiment Analysis

Cascading Classifiers for Twitter Sentiment Analysis with Emotion Lexicons

A Multilevel Approach to Sentiment Analysis of Figurative Language in Twitter

Determining sentiment in citation text and analyzing its impact on the proposed ranking index

Combining Lexical Features and a Supervised Approach for Arabic Sentiment Analysis

Sentiment analysis in Arabic Twitter posts using supervised methods with combined features

Interactions between Term Weighting and Feature Selection Methods for Sentiment Analysis of Turkish Reviews

Developing a concept-level knowledge base for sentiment analysis in Singlish

Using syntactic and semantic features for classifying modal values in the Portuguese language

Detecting the Likely Causes behind the Emotion Spikes of Influential Twitter Users

Age Identification of Twitter Users: Classification Methods and Sociolinguistic Analysis

Mining of Social Networks from Literary Texts of Resource Poor Languages

Collecting and Annotating Indian Social Media Code-Mixed Corpora

Turkish Normalization Lexicon for Social Media

Text Classification and Categorization

Introducing Semantics in Short Text Classification

Topics and Label Propagation: Best of Both Worlds for Weakly Supervised Text Classification

Deep Neural Networks for Czech Multi-label Document Classification

Turkish Document Classification with Coarse-grained Semantic Matrix

Supervised Topic Models for Diagnosis Code Assignment to Discharge Summaries

Information Extraction

Identity and Granularity of Events in Text

An informativeness approach to Open IE evaluation

End-to-End Relation Extraction using Markov Logic Networks

Knowledge Extraction with NooJ Using a syntactico-Semantic Approach for the Arabic Utterances Understanding

Adapting TimeML to Basque: Event annotation

Applications

Deeper summarisation: the second time around

Tracing Language Variation for Romanian

Aoidos: A System for the Automatic Scansion of Poetry Written in Portuguese.

Other Format:

Printed edition:

ISBN:

978-3-319-75487-1

9783319754871

Access Restriction:

Restricted for use by site license.