Computational Linguistics and Intelligent Text Processing

Computational Linguistics and Intelligent Text Processing

18th International Conference, CICLing 2017, Budapest, Hungary, April 17-23, 2017, Revised Selected Papers, Part I

Gelbukh, Alexander

Springer International Publishing AG

10/2018

608

Mole

Inglês

9783319771120

15 a 20 dias

949

Descrição não disponível.
General.- Overview of Character-Based Models for Natural Language Processing.- Pooling Word Vector Representations across Models.- Strategies to select examples for Active Learning with Conditional Random Fields.- Label-Dependencies Aware Recurrent Neural Networks.- Universal Computational Formalisms and Developer Environment for Rule-Based NLP.- Morphology and Text Segmentation.- Several ways to use the lingwarium.org online MT collaborative platform to develop rich morphological analyzers.- A Trie-Structured Bayesian Model for Unsupervised Morphological Segmentation.- Building Morphological Chains for Agglutinative Languages.- Joint POS Tagging and Stemming for Agglutinative Languages.- Hungarian particle verbs in a corpus-driven approach.- HANS: A Service-Oriented Framework for Chinese Language Processing.- Syntax and Parsing.- Learning to Rank for Coordination Detection.- Classifier Ensemble Approach to Learning in Dependency Parsing.- Evaluation and enrichment of Stanford Parser using an Arabic Property Grammar.- Word Sense Disambiguation.- SenseDependency-Rank: A Word Sense Disambiguation Method Based on Random Walks and Dependency Trees.- Domain Adaptation for Word Sense Disambiguation using Word Embeddings.- Reference and Coreference Resolution.- "Show me the cup": Reference with Continuous Representations.- Improved Best-First Clustering for Coreference Resolution in Indian Classical Music Forums.- A robust Co-reference Chain builder for Tamil.- Named Entity Recognition.- Structured Named Entity Recognition by Cascading CRFs.- Arabic Named Entity Recognition : A Bidirectional GRU-CRF Approach.- Named Entity Recognition for Amharic Using Stack-Based Deep Learning.- Semantics and Text Similarity.- Idioms: Humans or machines, it's all about context.- Dialogue act taxonomy interoperability using a meta-model.- Textual Entailment Using Machine Translation Evaluation Metrics.- Supervised Learning of Entity Disambiguation Models by Negative Sample Selection.- The Enrichment of Arabic WordNet Antonym Relations.- Designing An Ontology for Physical Exercise Actions.- Visualizing Textbook Concepts: Beyond Word Co-occurrences.- Matching, Re-ranking and Scoring: Learning Textual Similarity by Incorporating Dependency Graph Alignment and Coverage Features.- Text similarity function based on word embeddings for short text analysis.- Information Extraction.- Domain Specific Features Driven Information Extraction from Web Pages of Scientific Conferences.- Classifier-based Pattern Selection Approach for Relation Instance Extraction.- An Ensemble Architecture for Linked Data Lexicalization.- A Hybrid Approach for Biomedical Relation Extraction Using Finite State Automata and Random Forest-Weighted Fusion.- Exploring Linguistic and Graph based Features for the Automatic Classification and Extraction of Adverse Drug Effects.- Extraction of Semantic Relation between Arabic Named Entities Using Different Kinds of Transducer Cascades.- Semi-supervised Relation Extraction from Monolingual Dictionary for Russian WordNet.- Speech Recognition.- ASR Hypothesis Rerarnking using Prior-informed Restricted Boltzmann Machine.- A Comparative Analysis of Speech Recognition Systems for the Tatar Language.- Applications to Linguistics and the Humanities.- Interactive Data Analytics for the Humanities.- Language Technology for Digital Linguistics: Turning the Linguistic Survey of India Into a Rich Source of Linguistic Information.- Classifying World Englishes from a lexical perspective: A corpus-based approach.- Towards a Map of the Syntactic Similarity of Languages.- Romanian Word Production: An Orthographic Approach Based on Sequence Labeling.
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artificial intelligence;emotion recognition;internet;learning algorithms;machine translations;natural language processing systems;neural networks;semantics;signal processing;social networking;speech recognition;supervised learning;text processing;translation (languages);world wide web