Research output per year
Research output per year
Organisation profile
Organisation profile
Computational Linguistics in AberdeeN (CLAN) research theme. Our theme explores a wide range of practical uses of NLG, such as writing brief weather forecasts and summarising medical data, and this work has led to the spin-out company Arria. We are also interested in theoretical issues, such as the use of algorithms for modelling human language use, and in this area we collaborate actively with researchers in psycholinguistics in Aberdeen and elsewhere.
Fingerprint
Dive into the research topics where Computational Linguistics at Aberdeen is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Ruizhe Li
- School of Natural & Computing Sciences, Computing Science - Lecturer
- Computational Linguistics at Aberdeen
Person: Academic
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Xiao Li
- School of Natural & Computing Sciences, Computing Science - Lecturer
- Computational Linguistics at Aberdeen
Person: Academic
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Ehud Reiter
- Computational Linguistics at Aberdeen
- School of Natural & Computing Sciences, Computing Science - Chair in Computing Science.
Person: Academic
Research output
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Enhancing Factualness and Controllability of Data-to-Text Generation via Data Views and Constraints
Thomson, C., Rebuffel, C., Reiter, E., Soulier, L., Sripada, S. & Gallinari, P., 1 Sept 2023, (Accepted/In press). 16 p.Research output: Contribution to conference › Unpublished paper › peer-review
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Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction
Gao, Y., Li, R., Caskey, J., Dligach, D., Miller, T., Churpek, M. M. & Afshar, M., 28 Aug 2023, ArXiv.Research output: Working paper › Preprint
Open Access -
Evaluation of Human-Understandability of Global Model Explanations using Decision Tree
Sivaprasad, A. & Reiter, E., 15 Aug 2023, (Accepted/In press).Research output: Contribution to conference › Unpublished paper › peer-review
Datasets
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Data and code from: Detecting Age-Related Linguistic Patterns in Dialogue: Toward Adaptive Conversational Systems
Sinclair, A. (Creator), University of Aberdeen, Jun 2022
DOI: 10.20392/efb3885c-9833-4b4d-bbfb-af2d6e9c11ed, https://github.com/lennertjansen/detecting-age-in-dialogue
Dataset