Publications related to the ISOGRAM project

2016

• • Katrin Erk. What do you know about an alligator when you know the company it keeps? Semantics and Pragmatics Vol. 9, 1-63.  Code for this paper.

2015

• • Islam Beltagy and Katrin Erk. On the Proper Treatment of Quantifiers in Probabilistic Logic Semantics. Proceedings of IWCS. 

2013

• • Katrin Erk, Diana McCarthy, and Nicholas Gaylord. Measuring word meaning in context. Computational Linguistics 39(3), 511-554, September 2013.

  • Taesun Moon and Katrin Erk. An inference-based model of word meaning in context as a paraphrase distribution. ACM Transactions on Intelligent Systems and Technology 4(3), Special issue on Paraphrasing, June 2013.

  • Islam Beltagy, Chau Kim Cuong, Gemma Boleda, Dan Garrette, Katrin Erk, and Raymond Mooney. Montague meets Markov: Deep semantics with probabilistic logical form. Proceedings of *SEM 2013.

  • Katrin Erk. Towards a semantics for distributional representations. Proceedings of IWCS 2013.

  • Dan Garrette, Katrin Erk, and Ray Mooney. A Formal Approach to Linking Logical Form and Vector-Space Lexical Semantics. In Computing Meaning, Vol. 4, H. Bunt, J. Bos and S. Pulman (Eds.), Springer, Berlin, pp. 27-48, 2013.

2012

• • Katrin Erk. Vector space models of word meaning and phrase meaning: a survey. Language and Linguistics Compass 6(10), 635-653, October 2012.

2011

• •  Dan Garrette, Katrin Erk and Raymond Mooney. Integrating Logical Representations with Probabilistic Information using Markov Logic. Proceedings of IWCS 2011.

2010

• • Katrin Erk and Sebastian Pado: Exemplar-Based Models for Word Meaning In Context. Proceedings of ACL 2010.

  • Katrin Erk. What is word meaning, really? (And how can distributional models help us describe it?) Invited paper. Proceedings of the workshop on Geometrical Models of Natural Language Semantics (GEMS). Uppsala, Sweden, 2010. 

  • Mike Speriosu, Travis Brown, Taesun Moon, Jason Baldridge, and Katrin Erk. Connecting Language and Geography with Region-Topic Models. Proceedings of the 1st Workshop on Computational Models of Spatial Language Interpretation. Portland, Oregon.

 2009

(The papers listed from here on are not publications generated by the project, as they predate it. However, they are directly related to the project and answer questions posed by the project.)

• •  Katrin Erk, Diana McCarthy and Nicholas Gaylord: Investigations on Word Senses and Word Usages. Proceedings of ACL 2009.

  • Katrin Erk and Diana McCarthy: Graded word sense assignment. Proceedings of EMNLP 2009.

  • Amaç Herdağdelen, Marco Baroni and Katrin Erk: Measuring semantic relatedness with vector space models and random walks.  Proceedings of TextGraphs 2009.

  • Katrin Erk: Representing words as regions in vector space. Proceedings of CoNLL 2009.

  • Katrin Erk and Sebastian Pado.Paraphrase assessment in structured vector space: Exploring parameters and datasets.  Proceedings of the EACL Workshop on Geometrical Methods for Natural Language Semantics (GEMS).

  • Katrin Erk: Supporting inferences in semantic space: representing words as regions. Proceedings of IWCS 2009.

2008

• •  Katrin Erk and Sebastian Pado: A structured vector space model for word meaning in context. Proceedings of EMNLP 2008.

2007

• •  Katrin Erk and Sebastian Pado. Towards a computational model of gradience in word  sense. Proceedings of IWCS-7, Tilburg, The Netherlands, 2007