Sun / Huang / Lin Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
1. Auflage 2016
ISBN: 978-3-319-47674-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
15th China National Conference, CCL 2016, and 4th International Symposium, NLP-NABD 2016, Yantai, China, October 15-16, 2016, Proceedings
E-Book, Englisch, 460 Seiten
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-319-47674-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
The 29 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 85 submissions. They were organized in topical sections named: semantics; machine translation; multilinguality in NLP; knowledge graph and information extraction; linguistic resource annotation and evaluation; information retrieval and question answering; text classification and summarization; social computing and sentiment analysis; and NLP applications.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Semantics.- Improving Chinese Semantic Role Labeling with English Proposition Bank.- Transition-based Chinese Semantic Dependency Graph Parsing.- Improved Graph-based Dependency Parsing via Hierarchical LSTM Networks.- Machine Translation.- Error Analysis of English-Chinese Machine Translation.- I Can Guess What You Mean: A Monolingual Query Enhancement for Machine Translation.- Keeping the Meanings of the Source Text: An introduction to Yes Translate.- Sentence Alignment Method Based on Maximum Entropy Model Using Anchor Sentences.- Using Collaborative Training Method to build Vietnamese Dependency Treebank.- Multilinguality in NLP.- A Novel Approach to Improve the Mongolian Language Model using Intermediate Characters.- Improved Joint Kazakh POS Tagging and Chunking.- Coping with problems of Unicoded Traditional Mongolian.- Tibetan Person Attributes Extraction Based on BP Neural Network.- Semi-supervised Learning for Mongolian Morphological Segmentation.- Investigation and use of methods for defining the extends of similarity of Kazakh language sentences.- Knowledge graph and information extraction.- Recognizing Biomedical Named Entities Based on the Sentence Vector/Twin Word Embeddings Conditioned Bidirectional LSTM.- Definition Extraction with LSTM Recurrent Neural Networks.- Event Extraction via Bidirectional Long Short-Term Memory Tensor Neural Networks.- Chinese Hedge Scope Detection Based on Structure and Semantic Information.- Combining Event-level and Cross-event Semantic Information for Event-Oriented Relation Classification by SCNN.- Linguistic resource annotation and evaluation.- The Constitution of a Fine-Grained Opinion Annotated Corpus on Weibo.- The Construction of a Customized Medical Corpus for Assisting Chinese Clinicians in English Research Article Writing.- Pages Information retrieval and question answering.- Topic-Sentiment Mining from Multiple Text Collections.- A New Focus Strategy for Efficient DialogManagement.- Text classification and summarization.- Recognizing Textual Entailment via Multi-task Knowledge Assisted LSTM.- Multilingual Multi-document Summarization with Enhanced hLDA Features.- News Abridgement Algorithm Based on Word Alignment and Syntactic Parsing.- A Hierarchical LSTM Model for Joint Tasks.- Enhancing Neural Disfluency Detection with Hand-crafted Features.- Social computing and sentiment analysis.- Active Learning for Age Regression in Social Media.- A Novel Approach for Discovering Local Community Structure in Networks.- Identifying Suspected Cybermob on Tieba.- Chinese Sentiment Analysis Exploiting Heterogeneous Segmentations.- Towards Scalable Emotion Classification in Microblog Based on Noisy Training Data.- NLP Applications.- A Bootstrapping Approach to Symptom Entity Extraction on Chinese Electronic Medical Records.- Automatic Naming of Speakers in Video via Name-Face Mapping.- Image Tag Recommendation via Deep Cross-modal Correlation Mining.- Is Local Window Essential for Neural Network based Chinese Word Segmentation .