2nd Workshop on Natural Language Processing and Automated Reasoning (NLPAR2015) Joint workshop with the Second International Workshop on Learning and Nonmonotonic Reasoning (LNMR 2015) The 2nd Workshop on Natural Language Processing and Automated Reasoning (NLPAR) will be held jointly with the Second International Workshop on Learning and Nonmonotonic Reasoning (LNMR 2015) and will be colocated with the 13th International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR) in Lexington, Kentucky, USA. NEWS
CALL FOR PAPERSAIMS AND SCOPENatural Language Processing (NLP) has been of interest for a long time; tothe Artificial Intelligence community in general and to the Logic Programming and Automated Reasoning community in particular. NLP approaches that are based on logical inference 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. This edition will feature an invited talk by Jerry Hobbs, the winner of the 2013 Lifetime Achievement Award of the Association of Computational Linguistics, who has been doing pioneering research on the interface between natural language, logical inference, and common sense knowledge over the past 40 years. As submissions to this workshop, theoretical results,reports about systems and experiments, and work that combines logical inference and statistical methods, are welcome. Topics include but are not limited to:
INSTRUCTIONS FOR AUTHORS NLPAR 2015 aims to present original scientific research, and will notaccept any paper which, at the time of submission, has already been published or accepted for publication in a journal or previous conference. Submissions must be written in English and formatted according to the Springer LNCS/LNAI author instructions. http://www.springer.com/comp/lncs/Authors.html Papers must present original research and not exceed 12 pages including title page, references and figures. Paper submission and peer review is electronic and managed through the following easychair webpage. https://www.easychair.org/conferences/?conf=nlpar2015 Proceedings will be published online after the workshop, we intend to publish them as CEUR workshop proceedings on CEUR-WS.org. IMPORTANT DATES
SCHEDULENLPAR
LNMR
PROCEEDINGS
ORGANIZING COMMITTEE
Email Contact: nlpar2015@easychair.org PROGRAM COMMITTEE
INVITED SPEAKER
Title Inference in Natural Language Understanding Abstract We understand natural language discourse so well
because we know so much. We are able to
draw the inferences necessary to tie the various parts of a discourse together,
and how we do this is perhaps the central problem in natural language
understanding.In this talk I will show that many representational problems can
be bypassed by reifying states and events, resulting in a very simple picture
of compositional semantics. Then I will
show how abduction, or finding the best explanation for the content of a text,
solves a wide range of pragmatics problems, including coreference resolution,
the interpretatiion of metonymy and metaphor, and the discovery of discourse
structure. Finally I will discuss an
effort to build an adequate knowledgel base for natural language understanding,
by both manual and automatic means, in two areas --the structure of events and
goal-directed behavior. Speaker's Bio Dr. Jerry R. Hobbs is a prominent researcher in
the fields of computational linguistics, discourse analysis, and artificial
intelligence. He earned his doctor's
degree from New York University in 1974 in computer science. He has taught at Yale University and the City
University of New York. From 1977 to
2002 he was with the Artificial Intelligence Center at SRI International, Menlo
Park, California, where he was a Principal Scientist and Program Director of
the Natural Language Program. He has
written numerous papers in the areas of parsing, syntax, semantic
interpretation, information extraction, knowledge representation, encoding
commonsense knowledge, discourse analysis, the structure of conversation, and
the Semantic Web. He has done
groundbreaking work in the areas of discourse structure, granularity,
representing qualitative concepts, time ontology, encoding commonsense psychology,
information extraction, and interpreting natural language using abduction. He is the author of the book Literature and
Cognition, and was also editor of the book Formal Theories of the Commonsense
World. He led SRI's text-understanding
research, and directed the development of the abduction-based TACITUS system
for text understanding, and the FASTUS system for rapid extraction of
information from text based on finite-state transducers. In September 2002 he took a position as
research professor and ISI Fellow at the Information Sciences Institute,
University of Southern California. After
serving as Director of the Natural Language Group, he is now Chief Scientist
for Natural Language Processing. He has
been a consulting professor with the Linguistics Department and the Symbolic
Systems Program at Stanford University.
He has served as general editor of the Ablex Series on Artificial
Intelligence. He is a past president of
the Association for Computational Linguistics, and is a Fellow of the American
Association for Artificial Intelligence.
In January 2003 he was awarded an honorary Doctorate of Philosophy from
the University of Uppsala, Sweden. In
August 2013 he received the Association for Computational Linguistics Lifetime
Achievement Award. PREVIOUS WORKSHOP |