Computational Linguistics and Intelligent Text Processing : 18th International Conference, CICLing 2017, Budapest, Hungary, April 17-23, 2017, 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, 10761

Theoretical Computer Science and General Issues, 2512-2029 ; 10761

Language:

English

Subjects (All):

Natural language processing (Computer science).

Artificial intelligence.

Data mining.

Application software.

Computational linguistics.

Natural Language Processing (NLP).

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Computer and Information Systems Applications.

Computational Linguistics.

Local Subjects:

Natural Language Processing (NLP).

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Computer and Information Systems Applications.

Computational Linguistics.

Physical Description:

1 online resource (XIX, 608 pages) : 119 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 10761 + 10762 constitutes revised selected papers from the CICLing 2017 conference which took place in Budapest, Hungary, in April 2017. The total of 90 papers presented in the two volumes was carefully reviewed and selected from numerous submissions. In addition, the proceedings contain 4 invited papers. The papers are organized in the following topical sections: Part I: general; morphology and text segmentation; syntax and parsing; word sense disambiguation; reference and coreference resolution; named entity recognition; semantics and text similarity; information extraction; speech recognition; applications to linguistics and the humanities. Part II: sentiment analysis; opinion mining; author profiling and authorship attribution; social network analysis; machine translation; text summarization; information retrieval and text classification; practical applications. .

Contents:

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. .

Other Format:

Printed edition:

ISBN:

978-3-319-77113-7

9783319771137

Access Restriction:

Restricted for use by site license.