Description
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 1st ed. 2016
15th China National Conference, CCL 2016, and 4th International Symposium, NLP-NABD 2016, Yantai, China, October 15-16, 2016, Proceedings
Lecture Notes in Artificial Intelligence Series
Coordinators: Sun Maosong, Huang Xuanjing, Lin Hongfei, Liu Zhiyuan, Liu Yang
Language: EnglishKeywords
information extraction; lexical semantics; machine learning; machine translation; Web mining; active learning; collaborative training; emotion classification; joint modeling; language resources; natural language processing; neural network; recurrent neural network; semantic information; sentiment analysis; social media; speech recognition; structure information; support vector machine; topic modelin
Support: Print on demand
Description
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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 Dialog Management.- 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 .
Includes supplementary material: sn.pub/extras