Marie Meteer

Also published as: Marie W. Meteer


Are the Tools up to the Task? an Evaluation of Commercial Dialog Tools in Developing Conversational Enterprise-grade Dialog Systems
Marie Meteer | Meghan Hickey | Carmi Rothberg | David Nahamoo | Ellen Eide Kislal
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Industry Papers)

There has been a significant investment in dialog systems (tools and runtime) for building conversational systems by major companies including Google, IBM, Microsoft, and Amazon. The question remains whether these tools are up to the task of building conversational, task-oriented dialog applications at the enterprise level. In our company, we are exploring and comparing several toolsets in an effort to determine their strengths and weaknesses in meeting our goals for dialog system development: accuracy, time to market, ease of replicating and extending applications, and efficiency and ease of use by developers. In this paper, we provide both quantitative and qualitative results in three main areas: natural language understanding, dialog, and text generation. While existing toolsets were all incomplete, we hope this paper will provide a roadmap of where they need to go to meet the goal of building effective dialog systems.


Analysis of Risk Factor Domains in Psychosis Patient Health Records
Eben Holderness | Nicholas Miller | Kirsten Bolton | Philip Cawkwell | Marie Meteer | James Pustejovsky | Mei Hua-Hall
Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis

Readmission after discharge from a hospital is disruptive and costly, regardless of the reason. However, it can be particularly problematic for psychiatric patients, so predicting which patients may be readmitted is critically important but also very difficult. Clinical narratives in psychiatric electronic health records (EHRs) span a wide range of topics and vocabulary; therefore, a psychiatric readmission prediction model must begin with a robust and interpretable topic extraction component. We created a data pipeline for using document vector similarity metrics to perform topic extraction on psychiatric EHR data in service of our long-term goal of creating a readmission risk classifier. We show initial results for our topic extraction model and identify additional features we will be incorporating in the future.


What can NLP tell us about BioNLP?
Attapol Thamrongrattanarit | Michael Shafir | Michael Crivaro | Bensiin Borukhov | Marie Meteer
BioNLP: Proceedings of the 2012 Workshop on Biomedical Natural Language Processing

MedLingMap: A growing resource mapping the Bio-Medical NLP field
Marie Meteer | Bensiin Borukhov | Mike Crivaro | Michael Shafir | Attapol Thamrongrattanarit
BioNLP: Proceedings of the 2012 Workshop on Biomedical Natural Language Processing


Dialogue act modeling for automatic tagging and recognition of conversational speech
Andreas Stolcke | Klaus Ries | Noah Coccaro | Elizabeth Shriberg | Rebecca Bates | Daniel Jurafsky | Paul Taylor | Rachel Martin | Carol Van Ess-Dykema | Marie Meteer
Computational Linguistics, Volume 26, Number 3, September 2000


Modeling Conversational Speech for Speech Recognition
Marie Meteer | Rukmini Iyer
Conference on Empirical Methods in Natural Language Processing


Integrated Techniques for Phrase Extraction From Speech
Marie Meteer | J. Robin Rohlicek
Human Language Technology: Proceedings of a Workshop held at Plainsboro, New Jersey, March 8-11, 1994

Integrating Symbolic and Statistical Approches in Speech and Natural Language Applications
Marie Meteer | Herbert Gish
The Balancing Act: Combining Symbolic and Statistical Approaches to Language

Generating Event Descriptions with Sage: A Simulation and Generation Environment
Marie Meteer
Proceedings of the Seventh International Workshop on Natural Language Generation


Coping with Ambiguity and Unknown Words through Probabilistic Models
Ralph Weischedel | Marie Meteer | Richard Schwartz | Lance Ramshaw | Jeff Palmucci
Computational Linguistics, Volume 19, Number 2, June 1993, Special Issue on Using Large Corpora: II

Assumption Underlying Discourse Relations: Which Ones are Really There and Where are They?
Marie Meteer
Intentionality and Structure in Discourse Relations


Portable Natural Language Generation using SPOKESMAN
Marie Meteer
Third Conference on Applied Natural Language Processing


Studies in Part of Speech Labelling
Marie Meteer | Richard Schwartz | Ralph Weischedel
Speech and Natural Language: Proceedings of a Workshop Held at Pacific Grove, California, February 19-22, 1991


Abstract Linguistic Resources for Text Planning
Marie W. Meteer
Proceedings of the Fifth International Workshop on Natural Language Generation

Towards Understanding Text with a Very Large Vocabulary
Damaris Ayuso | R. Bobrow | Dawn MacLaughlin | Marie Meteer | Lance Ramshaw | Rich Schwartz | Ralph Weischedel
Speech and Natural Language: Proceedings of a Workshop Held at Hidden Valley, Pennsylvania, June 24-27,1990


Book Reviews: Advances in Natural Language Generation: An Interdisciplinary Perspective
Marie Meteer
Computational Linguistics, Volume 15, Number 2, June 1989


From Water to Wine: Generating Natural Language Text From Today’s Applications Programs
David D. McDonald | Marie W. Meteer
Second Conference on Applied Natural Language Processing

Strategies for Effective Paraphrasing
Marie Meteer | Varda Shaked
Coling Budapest 1988 Volume 2: International Conference on Computational Linguistics