Feedback in Conversation as Incremental Semantic Update
- Submitting institution
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Queen Mary University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 413
- Type
- E - Conference contribution
- DOI
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10.3115/v1/W15-0130
- Title of conference / published proceedings
- Proceedings of the 11th International Conference on Computational Semantics
- First page
- 261
- Volume
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- Issue
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- ISSN
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- Open access status
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- Month of publication
- April
- Year of publication
- 2015
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
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- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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4
- Research group(s)
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-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Showed how to model the meaning effects of fundamentally important but often-ignored linguistic phenomena such as ?uh-huh? backchannels. Originated in the EPSRC RISER project (EP/J010383/1 ?120k 2012-13), implemented as open-source public research software system DyLan with 120+ downloads (http://dylan.sourceforge.net/), and formed the basis of a new EPSRC project (EP/M01553X/1 ?280k 2015-17) based at Heriot-Watt, which has led to 23 publications including journals (TopiCS 2018) and top conferences (EMNLP 2017). Now led to new collaboration integrating language processing with category-theoretic methods from theoretical computer science: SemDial 2018 workshop paper (http://semdial.org/anthology/Z18-Sadrzadeh_semdial_0016.pdf), JOLLI journal paper accepted (JLLI-D-18-00098R1, http://www.eecs.qmul.ac.uk/~jhough/papers/PurverEtAl20JOLLI.pdf).
- Author contribution statement
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- Non-English
- No
- English abstract
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