Feedback in conversation as incremental semantic update
- Submitting institution
-
Heriot-Watt University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 25004343
- Type
- E - Conference contribution
- DOI
-
-
- Title of conference / published proceedings
- Proceedings of the 11th International Conference on Computational Semantics
- First page
- 261
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- April
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- It is the first general model of language processing in dialogue; has had wide impact across Cognitive Science & Computational Linguistics; now implemented & being used in SotA Conversational AI. has enabled & lead directly to the EPSRC BABBLE project (EP/M01553X/1 - now finished); has lead to several follow up publications, Eshghi et al. 2017, Howes&Eshghi, 2017;2018; Kempson et al. 2018. has been adopted by researchers across the UK & Europe more widely; e.g. CogSci, Queen Mary University; CLASP, University of Gothenburg. has lead to several PhD projects across Heriot-Watt & Queen Mary University of London; e.g. Y.Yu; I.Shalyminov
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
