NLPAR 2013 - 1st Workshop on Natural Language Processing and Automated Reasoning

Natural Language Processing (NLP) has been of interest for a long time; to
the Artificial Intelligence community in general and to the Logic
Programming and Automated Reasoning community in particular. NLP approaches
that are based on mathematical logic promise a deeper understanding of
natural language than possible with purely statistics-based methods. A
deep understanding is beneficial and necessary in most areas of NLP, for
example word and entity recognition; word sense disambiguation; parsing and
syntactical disambiguation; and reasoning over the semantics and pragmatics
of words, phrases, sentences, and whole discourses.
This workshop aims to bring together researchers with a common interest in
addressing the challenges of natural language processing using automated
reasoning methods. As submissions to this workshop, theoretical results,
reports about systems and experiments, and work that combines mathematical
logic and statistical methods, are welcome.
Topics include but are not limited to:
Morphology
Named Entity Recognition
Syntax
Coreference Resolution
Semantics
Discourse
Pragmatics
Ontologies for NLP
Controlled Natural Language
Question Answering
Recognizing Textual Entailment
Natural Language Generation
Text Summarization
Machine Translation