co-located with the XII Conference of the Italian Association for Artificial Intelligence (AI*IA 2011 http://chilab.dinfo.unipa.it/aixia2011/)
(see the workshop program)
Currently, almost all successful AI systems need to rely on sufficient relevant knowledge about a problem domain in order to perform a task. Such knowledge needs to be consistent and expressed in a logical formalism of some type. Since manually encoding such knowledge can become prohibitively expensive, the possibility to automatically acquire it from naturally occurring text and to convert it into a deep logical notation would greatly improve the systems’ performance. The NLP community has become increasingly aware of this new framework, also known as “Learning by Reading”, and several events concerning different aspects of this approach have been organized recently, such as the 1st International Workshop on Formalisms and Methodology for Learning by Reading (http://www.isi.edu/~rutu/FAM-LbR.php), the IJCAI-2011 Workshop on Learning by Reading and its Applications in Intelligent Question-Answering (http://www.isi.edu/~rutu/FAM-LbR-KRAQ-2011.php), as well as the CLEF 2011 Evaluation Campaign on Question Answering for Machine Reading Evaluation (http://celct.fbk.eu/QA4MRE/).
TOPICS of INTEREST:
With respect to previous events, this workshop will be more focused on the role of background knowledge in Machine Reading applications. More specifically, we particularly encourage the submission of unpublished papers addressing the issues of acquiring and using background knowledge in NLP applications, of exploiting structured data for the semantic annotation of texts and of performing semantic enrichment of documents for deep understanding.
Topics of interest include (but are not limited to) methods and paradigms for:
The workshop is supported by the interest group on NLP of the AI*IA (https://sites.google.com/a/aixia.it/nlp). Additional sponsorship is foreseen by the LiveMemories project (http://www.livememories.org ).
The workshop organizers are considering the opportunity to publish selected and revised versions of the workshop papers as a special issue of Intelligenza Artificiale - the International Journal of the AI*IA, in the second half of 2012 (http://www.iospress.nl/loadtop/load.php?isbn=17248035 ).
IMPORTANT DATES (UPDATED!):
Submission deadline: May 22, 2011
Notification of acceptance: July 19, 2011
Camera-ready papers due: August 7, 2011
Workshop: September 15, 2011
Authors are invited to submit full papers of up to 8 pages (including references) in electronic format. We also solicit short contributions of up to 4 pages presenting challenge or position papers. Papers must be submitted as PDF documents to the following address: https://www.easychair.org/conferences/?conf=lerrew2011. The Latex template can be downloaded here. As reviewing will be blind, please ensure that papers are anonymous.
Professor YORICK WILKS, Florida Institute of Machine and Cognition
"How many classic NLP processes contribute to knowledge by reading?"
Abstract: The paper surveys some aspects of what counts as “learning by reading” and then goes on to describe some detailed work under some of those headings from Sheffield NLP projects with which I have been involved. Several classic NLP tasks can now be reinterpreted as “learning by reading”: information extraction, automatic summarization, question answering, terminology extraction and ontology learning. I will ask whether “learning by reading” is more than a name for the conjunction of these processes. I will then describe some Sheffield work on ontology learning, real time web access in dialogue processing, question answering and the derivation of much larger language models with skip grams and the possible relationship of those to knowledge extraction.
Sara Tonelli – FBK-irst, Trento (contact: firstname.lastname@example.org)
Fabio Zanzotto – University of Rome Tor Vergata
Roberto Basili - University of Rome Tor Vergata
Bernardo Magnini – FBK-irst, Trento
Sara Tonelli – FBK-irst, (contact)
Fabio Zanzotto – University of Rome Tor Vergata
Roberto Basili – University of Rome Tor Vergata
Bernardo Magnini – FBK-irst
Steven Bethard, Katholieke Universiteit Leuven
Volha Bryl, FBK-irst
Philipp Cimiano, University of Bielefeld
Claudio Giuliano, FBK-irst
Iryna Gurevych, University of Darmstadt
Rodolfo Delmonte, University of Venice
Leonardo Lesmo, University of Turin
Ruth Mulkar-Mehta, ISI, University of Southern California
Sergei Nirenburg, UMBC
Marco Pennacchiotti, Yahoo! Inc.
Massimo Poesio, CIMeC
Josef Ruppenhofer, University of Saarbruecken
Gianni Semeraro, University of Bari
Luciano Serafini, FBK-irst
Caroline Sporleder, University of Saarbruecken
Wilks, Florida Institute of Machine and Cognition