Call for Papers: Knowledge and Language Processing (KLP)
摘要截稿:
全文截稿: 2019-05-30
影响因子: 4.787
期刊难度:
CCF分类: B类
中科院JCR分区:
• 大类 : 计算机科学 - 1区
• 小类 : 计算机:信息系统 - 1区
• 小类 : 图书情报与档案管理 - 1区
Overview
Aim of the Special Issue on Knowledge and Language Processing (KLP) is to investigate techniques and application of knowledge engineering and natural language processing, focusing in particular on approaches combining them. This is an extremely interdisciplinary emerging research area, at the core of Artificial Intelligence, combining and complementing the scientific results from Natural Language Processing and Knowledge Representation and Reasoning.
Topics of interest include, but are not limited to:
NLP for Knowledge:
- NLP tasks for Knowledge Extraction
- NLP for Implicit Knowledge
- NLP for Ontology Population and Learning
- Sentiment Analysis and Opinion Mining for Knowledge Applications
- Interplay between Language Resources and Ontologies
- NLP for Explainable Knowledge
- NL Generation from Structured Information and Linked Data
- Machine Translation techniques for Multi-lingual Knowledge
- NLP for the Web
Knowledge for NLP:
- Knowledge to improve NLP tasks
- Knowledge for Information Retrieval
- Knowledge-based Sentiment Analysis and Opinion Mining
- Ontologies for Language
- Combining Knowledge and Deep Learning for NLP
- Knowledge for Text Summarization and Generation
- Knowledge for Persuasion
- Knowledge-based Machine Translation
- Knowledge for the Web
- Linked Data for NLP
Knowledge and NLP Applications:
- Real-world applications that exploit Knowledge and NLP
- Knowledge and NLP Systems for Big Data scenarios
- Deployment of Knowledge and NLP Systems in specific domains. For example: