Bonnie Lynn Webber
Also known as Bonnie Webber
Bonnie Lynn Webber studies how meaning connects across sentences, with shared work on discourse annotation and language-technology systems. Webber collaborated on the development and use of the Penn Discourse TreeBank. The project records how parts of a text connect in meaning, providing an explicit research resource for language processing. Webber coauthored research on cache models for domain adaptation with Annie Louis and on applying negation semantics to machine translation with Federico Fancellu. These papers connected language structure with the behavior of practical NLP tools.
- Now at
- University of Edinburgh
- Works
- 361
- Citations
- 9,455
- h-index
- 47
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
-
As of October 2026
Building a discourse resource
Webber collaborated on the development and use of the Penn Discourse TreeBank. The project records how parts of a text connect in meaning, providing an explicit research resource for language processing.
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2012
Describing discourse computation
She coauthored Discourse Structure and Language Technology with Markus Egg and Valia Kordoni, and a separate account of the past, present and future of discourse computation with Aravind Joshi. Both appeared in 2012.
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2013
Testing coherence relations
She published a 2013 paper on what excludes an alternative in coherence relations. It continues the question of how the relations between statements constrain their interpretation in a larger text.
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2014
Connecting discourse with adaptation and translation
Webber coauthored research on cache models for domain adaptation with Annie Louis and on applying negation semantics to machine translation with Federico Fancellu. These papers connected language structure with the behavior of practical NLP tools.
Sources and credits
Photo: homepages.inf.ed.ac.uk; Bonnie Lynn Webber profile photograph; creator not stated. License: Not stated by source. Source: homepages.inf.ed.ac.uk. Cropped to a square and resized. Ask us to remove or replace this photo.