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Part of Speech Annotation for ICSI Meeting Recorder Data


The JAIR paper written by Michael and Simone in 2007 on "Knowledge Derived from Wikipedia for Computing Semantic Relatedness" will receive the 2010 Honorable Mention for the 2010 IJCAI-JAIR Best Paper Prize! Here is the blurb.

Cai and Michael have an exciting paper on a global model for coreference resolution at COLING this year: End-to-End Coreference Resolution via Hypergraph Partitioning.

Viola has a paper on Detecting Vagueness in Two Languages and Two Domains at KONVENS 2010.

Cai and Michael have a paper on coreference resolution evaluation metrics at SIGdial '10: Evaluation Metrics for End-to-End Coreference Resolution Systems. The paper describes evaluation metrics which can deal with system mentions.

Our latest project is CoSyne: A project on Multi-lingual Content Synchronization with Wikis -- an ICT-STREP project funded by the European Commision. The project will start in March 2010. More news later!

We are building WikiNet -- a multi-lingual large scale ontology based on Wikipedia. Currently it contains approximately 3 million concepts and 20+ million relations extracted from the 20090703 version of Wikipedia. We also have a multi-lingual dictionary extracted from the Wiktionary (it contains only entries that have at least one translation).

WikiNet is described in our LREC paper.



Distinguishing Between Instances and Classes in the Wikipedia Taxonomy at ESWC 08 by C
äcilia Zirn, Vivi Nastase and Michael Strube; Acquiring a Taxonomy from the German Wikipedia at LREC 08 by Laura Kassner, Vivi Nastase and Michael Strube.

Our annotation tool MMAX2 has been used as the common annotation platform for the 2007 JHU Summer Workshop on Exploiting Lexical & Encyclopedic Resources For Entity Disambiguation. On this occasion, MMAX2 is now available as an open source project at mmax2.sourceforge.net.

We have a new Web Interface for computing semantic relatedness in Wikipedia.

Simone Paolo Ponzetto and Michael Strube have participated in a JHU Summer Workshop on Exploiting Lexical & Encyclopedic Resources For Entity Disambiguation.


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