Computational Linguistics and Intelligent Text Processing: 17th International Conference, Cicling 2016, Konya, Turkey, April 3-9, 2016, Revised Select

ISBN-13: 9783319754864 / Angielski / Miękka / 2018 / 632 str.

Alexander Gelbukh

Opis

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.

Spis treści

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.