Semantic Aspects in Natural Language Processing

Dear Colleagues,

Natural language is the prevailing medium through which information is made available on the Internet: as text or speech, standing on its own, being accompanied by pictures or embedded in video, and coming in various forms from short, highly colloquial and often ungrammatical forum posts and tweets over commercials and scientific articles to legal texts. To make sense of this information, aggregate, search, evaluate or verify it, or present it to the user in a way that provides added value, software is needed that can make decisions based on the semantics or meaning of natural language utterances.

The aim of his Special Issue is to gather contributions—both original work and survey articles—regarding algorithms and language processing techniques for the semantic analysis of natural language, the representation of the results of such an analysis, and the further processing of these representations. Areas of interest include but are not limited to:

• Semantic parsing and meaning representation;
• Machine learning approaches to language understanding;
• Semantic analysis of natural language in a multimodal context;
• Language grounding and natural language interaction with, e.g., robots;
• Question answering;
• Sentiment analysis and emotion recognition;
• Identification of bias and fake news;
• Formal models and algorithms for any of the above.

Prof. Dr. Frank Drewes
Guest Editor

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