David Elson

Also published as: David K. Elson


2015

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Literature Lifts Up Computational Linguistics
David K. Elson | Anna Feldman | Anna Kazantseva | Stan Szpakowicz
Linguistic Issues in Language Technology, Volume 12, 2015 - Literature Lifts up Computational Linguistics

2014

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Detecting Retries of Voice Search Queries
Rivka Levitan | David Elson
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

2013

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Proceedings of the Workshop on Computational Linguistics for Literature
David Elson | Anna Kazantseva | Stan Szpakowicz
Proceedings of the Workshop on Computational Linguistics for Literature

2012

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DramaBank: Annotating Agency in Narrative Discourse
David Elson
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

We describe the Story Intention Graph, a set of discourse relations designed to represent aspects of narrative. Compared to prior models, ours is a novel synthesis of the notions of goal, plan, intention, outcome, affect and time that is amenable to corpus annotation. We describe a collection project, DramaBank, which includes encodings of texts ranging from small fables to epic poetry and contemporary nonfiction.

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Proceedings of the NAACL-HLT 2012 Workshop on Computational Linguistics for Literature
David Elson | Anna Kazantseva | Rada Mihalcea | Stan Szpakowicz
Proceedings of the NAACL-HLT 2012 Workshop on Computational Linguistics for Literature

2010

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Tense and Aspect Assignment in Narrative Discourse
David Elson | Kathleen McKeown
Proceedings of the 6th International Natural Language Generation Conference

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Extracting Social Networks from Literary Fiction
David Elson | Nicholas Dames | Kathleen McKeown
Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics

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Building a Bank of Semantically Encoded Narratives
David K. Elson | Kathleen R. McKeown
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

We propose a methodology for a novel type of discourse annotation whose model is tuned to the analysis of a text as narrative. This is intended to be the basis of a “story bank” resource that would facilitate the automatic analysis of narrative structure and content. The methodology calls for annotators to construct propositions that approximate a reference text, by selecting predicates and arguments from among controlled vocabularies drawn from resources such as WordNet and VerbNet. Annotators then integrate the propositions into a conceptual graph that maps out the entire discourse; the edges represent temporal, causal and other relationships at the level of story content. Because annotators must identify the recurring objects and themes that appear in the text, they also perform coreference resolution and word sense disambiguation as they encode propositions. We describe a collection experiment and a method for determining inter-annotator agreement when multiple annotators encode the same short story. Finally, we describe ongoing work toward extending the method to integrate the annotator’s interpretations of character agency (the goals, plans and beliefs that are relevant, yet not explictly stated in the text).

2009

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A Tool for Deep Semantic Encoding of Narrative Texts
David K. Elson | Kathleen R. McKeown
Proceedings of the ACL-IJCNLP 2009 Software Demonstrations

2006

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CLiMB ToolKit: A Case Study of Iterative Evaluation in a Multidisciplinary Project
Rebecca Passonneau | Roberta Blitz | David Elson | Angela Giral | Judith Klavans
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

Digital image collections in libraries and other curatorial institutions grow too rapidly to create new descriptive metadata for subject matter search or browsing. CLiMB (Computational Linguistics for Metadata Building) was a project designed to address this dilemma that involved computer scientists, linguists, librarians, and art librarians. The CLiMB project followed an iterative evaluation model: each next phase of the project emerged from the results of an evaluation. After assembling a suite of text processing tools to be used in extracting metada, we conducted a formative evaluation with thirteen participants, using a survey in which we varied the order and type of four conditions under which respondents would propose or select image search terms. Results of the formative evaluation led us to conclude that a CLiMB ToolKit would work best if its main function was to propose terms for users to review. After implementing a prototype ToolKit using a browser interface, we conducted an evaluation with ten experts. Users found the ToolKit very habitable, remained consistently satisfied throughout a lengthy evaluation, and selected a large number of terms per image.

2003

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Columbia’s Newsblaster: New Features and Future Directions
Kathleen McKeown | Regina Barzilay | John Chen | David Elson | David Evans | Judith Klavans | Ani Nenkova | Barry Schiffman | Sergey Sigelman
Companion Volume of the Proceedings of HLT-NAACL 2003 - Demonstrations