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This book constitutes the refereed proceedings of the 4th CCF Conference, NLPCC 2015, held in Nanchang, China, in October 2015. The 35 revised full papers presented together with 22 short papers were carefully reviewed and selected from 238 submissions. The papers are organized in topical sections on fundamentals on language computing; applications on language computing; NLP for search technology and ads; web mining; knowledge acquisition and information extraction.
(source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 6th CCF International Conference on Natural Language Processing, NLPCC 2017, held in Dalian, China, in November 2017. The 47 full papers and 39 short papers presented were carefully reviewed and selected from 252 submissions. The papers are organized around the following topics: IR/search/bot; knowledge graph/IE/QA; machine learning; machine translation; NLP applications; NLP fundamentals; social networks; and text mining.
(source: Nielsen Book Data) This book constitutes the refereed proceedings of the 6th CCF International Conference on Natural Language Processing, NLPCC 2017, held in Dalian, China, in November 2017. The 47 full papers and 39 short papers presented were carefully reviewed and selected from 252 submissions.Ԩe papers are organized around the following topics: IR/search/bot; knowledge graph/IE/QA; machine learning; machine translation; NLP applications; NLP fundamentals; social networks; and text mining.

• Conversational Bot/QA/IR
• Knowledge graph/IE
• Machine Learning for NLP
• Machine Translation
• NLP Applications.

This two volume set of LNAI 11108 and LNAI 11109 constitutes the refereed proceedings of the 7th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2018, held in Hohhot, China, in August 2018. The 55 full papers and 31 short papers presented were carefully reviewed and selected from 308 submissions. The papers of the first volume are organized in the following topics: conversational Bot/QA/IR; knowledge graph/IE; machine learning for NLP; machine translation; and NLP applications. The papers of the second volume are organized as follows: NLP for social network; NLP fundamentals; text mining; and short papers.

• Knowledge Graphs.- Data Management.- Question Answering and NLP.- Ontology and Reasoning.- Government Open Data.- Semantic Web for Life Sciences.
• (source: Nielsen Book Data)

This book constitutes the thoroughly refereed proceedings of the 8th Joint International Semantic Technology Conference, JIST 2018, held in Awaji, Japan, in November 2018. The 23 full papers and 6 short papers presented were carefully reviewed and selected from 75 submissions. They present applications of semantic technologies, theoretical results, new algorithms and tools to facilitate the adoption of semantic technologies and are organized in topical sections on knowledge graphs; data management; question answering and NLP; ontology and reasoning; government open data; and semantic web for life sciences.
(source: Nielsen Book Data)

• Intro
• Message from the Program Committee Co-chairs
• Organization
• Contents
• Fundamentals on Language Computing
• Integrating Structural Context with Local Context for Disambiguating Word Senses
• Abstract
• 1 Introduction
• 2 Proposed Approach
• 2.1 Generate Permuted-Lexicon-Sequence
• 2.2 Proposed Model
• 3 Evaluation
• 3.1 Data Sets
• 3.2 Experiments
• 4 Related Work
• 5 Conclusion
• Acknowledgements
• References
• Tibetan Multi-word Expressions Identification Framework Based on News Corpora
• Abstract
• 1 Introduction
• 2 Related Work

• 3 Brief Description of Tibetan MWE Identification Framework
• 4 Tibetan MWE Identification Based on the Combination of Context Analysis and Language Model-Based Analysis
• 4.1 Context Analysis
• 4.2 Two-Word Coupling Degree
• 4.3 Tibetan Syllable Inside Word Probability
• 5 Experiments
• 5.1 Experimental Data
• 5.2 Evaluation
• 5.2.1 Evaluation for Different Strategies in Identifying Framework
• 5.2.2 Evaluation for the Effect of Context Analysis Granularity
• 5.2.3 Evaluation on Large Corpus
• 6 Conclusion
• Acknowledgements
• References

• Building Powerful Dependency Parsers for Resource-Poor Languages
• 1 Introduction
• 2 Our Approach
• 2.1 Data Preprocessing
• 2.2 Projecting Dependencies and POS Tags
• 2.3 CRF-Based POS Tagging Model
• 2.4 Graph-Based Dependency Parsing Model
• 3 Enhancing the Parsers
• 3.1 Subtree Based Features
• 3.2 Word-Cluster Based Features
• 4 Experiments
• 4.1 Data Sets
• 4.2 Results on POS Tagging
• 4.3 Results on Parsing
• 5 Related Work
• 6 Conclusions
• References
• Bidirectional Long Short-Term Memory with Gated Relevance Network for Paraphrase Identification
• 1 Introduction

• 2 Related Works
• 3 Methodology
• 3.1 Embedding Layer
• 3.2 Sentence Modeling with Bi-LSTM
• 3.3 Gated Relevance Network
• 3.4 Max-Pooling Layer and MLP
• 3.5 Model Training
• 4 Experiments
• 4.1 Dataset and Evaluation Metrics
• 4.2 Parameter Settings
• 4.3 Baselines
• 4.4 Results of Comparison Experiments
• 5 Conclusion
• References
• Syntactic Categorization and Semantic Interpretation of Chinese Nominal Compounds
• Abstract
• 1 Introduction
• 2 Related Literature
• 3 Syntactic Categorization of Nominal Compounds in Chinese
• 3.1 Basic Rules
• 3.2 Context-Based Rules

• 3.3 Rules of Named Entities
• 3.4 Rules for Syntactic Categorization
• 3.5 Syntactic Categorization Experiments
• 4 Automatic Semantic Interpretation of Head-Modifier Nominal Compounds
• 4.1 Description of the System
• 4.2 Resources and Similarity Computation
• 4.3 Noun Matching
• 4.4 Acquisition of Semantic Interpretation Templates
• 4.5 Experiments of Automatic Semantic Interpretation
• 5 Application in Syntactic Parsing and Machine Translation
• 5.1 Correction in Syntactic Parsing
• 5.2 Application in Machine Translation
• 6 Conclusions
• Acknowledgement
• References

This book constitutes the joint refereed proceedings of the 5th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2016, and the 24th International Conference on Computer Processing of Oriental Languages, ICCPOL 2016, held in Kunming, China, in December 2016. The 48 revised full papers presented together with 41 short papers were carefully reviewed and selected from 216 submissions. The papers cover fundamental research in language computing, multi-lingual access, web mining/text mining, machine learning for NLP, knowledge graph, NLP for social network, as well as applications in language computing.