Graham Katz

Also published as: E. Graham Katz


2016

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Watson Discovery Advisor: Question-answering in an industrial setting
Charley Beller | Graham Katz | Allen Ginsberg | Chris Phipps | Sean Bethard | Paul Chase | Elinna Shek | Kristen Summers
Proceedings of the Workshop on Human-Computer Question Answering

2013

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Proceedings of the IWCS 2013 Workshop on Annotation of Modal Meanings in Natural Language (WAMM)
Paul Portner | Aynat Rubinstein | Graham Katz
Proceedings of the IWCS 2013 Workshop on Annotation of Modal Meanings in Natural Language (WAMM)

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Toward Fine-grained Annotation of Modality in Text
Aynat Rubinstein | Hillary Harner | Elizabeth Krawczyk | Daniel Simonson | Graham Katz | Paul Portner
Proceedings of the IWCS 2013 Workshop on Annotation of Modal Meanings in Natural Language (WAMM)

2012

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Using semi-experts to derive judgments on word sense alignment: a pilot study
Soojeong Eom | Markus Dickinson | Graham Katz
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

The overall goal of this project is to evaluate the performance of word sense alignment (WSA) systems, focusing on obtaining examples appropriate to language learners. Building a gold standard dataset based on human expert judgments is costly in time and labor, and thus we gauge the utility of using semi-experts in performing the annotation. In an online survey, we present a sense of a target word from one dictionary with senses from the other dictionary, asking for judgments of relatedness. We note the difficulty of agreement, yet the utility in using such results to evaluate WSA work. We find that one's treatment of related senses heavily impacts the results for WSA.

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A New Twitter Verb Lexicon for Natural Language Processing
Jennifer Williams | Graham Katz
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

We describe in-progress work on the creation of a new lexical resource that contains a list of 486 verbs annotated with quantified temporal durations for the events that they describe. This resource is being compiled from more than 14 million tweets from the Twitter microblogging site. We are creating this lexicon of verbs and typical durations to address a gap in the available information that is represented in existing research. The data that is contained in this lexical resource is unlike any existing resources, which have been traditionally comprised from literature excerpts, news stories, and full-length weblogs. The kind of knowledge about how long an event lasts is crucial for natural language processing and is especially useful when the temporal duration of an event is implied. We are using data from Twitter because Twitter is a rich resource since people are publicly posting about real events and real durations of those events throughout the day.

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Extracting and modeling durations for habits and events from Twitter
Jennifer Williams | Graham Katz
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

2011

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The Exploitation of Spatial Information in Narrative Discourse
Blake Stephen Howald | E. Graham Katz
Proceedings of the Ninth International Conference on Computational Semantics (IWCS 2011)

2009

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Error Analysis of the TempEval Temporal Relation Identification Task
Chong Min Lee | Graham Katz
Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions (SEW-2009)

2007

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SemEval-2007 Task 15: TempEval Temporal Relation Identification
Marc Verhagen | Robert Gaizauskas | Frank Schilder | Mark Hepple | Graham Katz | James Pustejovsky
Proceedings of the Fourth International Workshop on Semantic Evaluations (SemEval-2007)

2006

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Automatic Identification of Non-Compositional Multi-Word Expressions using Latent Semantic Analysis
Graham Katz | Eugenie Giesbrecht
Proceedings of the Workshop on Multiword Expressions: Identifying and Exploiting Underlying Properties

2001

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The Annotation Of Temporal Information In Natural Language Sentences
Graham Katz | Fabrizio Arosio
Proceedings of the ACL 2001 Workshop on Temporal and Spatial Information Processing