Natural Language Processing in Artificial Intelligence NLPinAI 2020

This book covers theoretical work, applications, approaches, and techniques for computational models of information and its presentation by language (artificial, human, or natural in other ways). Computational and technological developments that incorporate natural language are proliferating. Adequate coverage encounters difficult problems related to ambiguities and dependency on context and agents (humans or computational systems). The goal is to promote computational systems of intelligent natural language processing and related models of computation, language, thought, mental states, reasoning, and other cognitive processes.

Inhalt
Lambek Calculus with Classical Logic.- Partial Orders, Residuation, and First-Order Linear Logic.- A Hyperintensional Theory of Intelligent Question Answering in TIL.- Learning Domain-Specific Grammars From a Small Number of Examples.- The Semantic Level of Shannon Information: Are Highly Informative Words Good Keywords? A Study on German.- Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks.- Dialogical Argumentation and Textual Entailment.- A Novel Approach to Determining the Quality of News Headlines. <p