Diarmuid Ó Séaghdha
Diarmuid Ó Séaghdha
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Cited by
Semeval-2010 task 8: Multi-way classification of semantic relations between pairs of nominals
I Hendrickx, SN Kim, Z Kozareva, P Nakov, DO Séaghdha, S Padó, ...
Proceedings of the 5th International Workshop on Semantic Evaluation, 33-38, 2010
Neural belief tracker: Data-driven dialogue state tracking
N Mrkšić, DO Séaghdha, TH Wen, B Thomson, S Young
arXiv preprint arXiv:1606.03777, 2016
Auralist: introducing serendipity into music recommendation
YC Zhang, DÓ Séaghdha, D Quercia, T Jambor
Proceedings of the fifth ACM international conference on Web search and data …, 2012
Counter-fitting word vectors to linguistic constraints
N Mrkšić, DO Séaghdha, B Thomson, M Gašić, L Rojas-Barahona, PH Su, ...
arXiv preprint arXiv:1603.00892, 2016
Semantic specialization of distributional word vector spaces using monolingual and cross-lingual constraints
N Mrkšić, I Vulić, DO Séaghdha, I Leviant, R Reichart, M Gašić, ...
Transactions of the association for Computational Linguistics 5, 309-324, 2017
Multi-domain dialog state tracking using recurrent neural networks
N Mrkšić, DO Séaghdha, B Thomson, M Gašić, PH Su, D Vandyke, ...
arXiv preprint arXiv:1506.07190, 2015
Latent variable models of selectional preference
DO Séaghdha
Proceedings of the 48th Annual Meeting of the Association for Computational …, 2010
Hierarchical belief states for digital assistants
B Thomson, A Johannsen, DÓ Séaghdha, F Flego, L Simonelli, SJ Young, ...
US Patent 10,482,874, 2019
Optimizing dialogue policy decisions for digital assistants using implicit feedback
B Thomson, DJ Vandyke, G Frazzingaro, SF DELGADO, TB Gunter, ...
US Patent 10,810,274, 2020
Text mining for literature review and knowledge discovery in cancer risk assessment and research
A Korhonen, D Ó Séaghdha, I Silins, L Sun, J Högberg, U Stenius
PloS one 7 (4), e33427, 2012
SemEval-2010 task 9: The interpretation of noun compounds using paraphrasing verbs and prepositions
C Butnariu, SN Kim, P Nakov, DO Séaghdha, S Szpakowicz, T Veale
Proceedings of the 5th International Workshop on Semantic Evaluation, 39-44, 2010
SemEval-2013 task 4: Free paraphrases of noun compounds
I Hendrickx, P Nakov, S Szpakowicz, Z Kozareva, DO Séaghdha, T Veale
arXiv preprint arXiv:1911.10421, 2019
Predicting the impact of scientific concepts using full‐text features
K McKeown, H Daume III, S Chaturvedi, J Paparrizos, K Thadani, P Barrio, ...
Journal of the Association for Information Science and Technology 67 (11 …, 2016
Semantic relations between nominals
V Nastase, S Szpakowicz, P Nakov, DÓ Séagdha
Synthesis lectures on human language technologies 14 (1), 1-234, 2021
Semantic classification with distributional kernels
D Ó Séaghdha, A Copestake
Proceedings of the 22nd International Conference on Computational …, 2008
Learning compound noun semantics
DO Séaghdha
University of Cambridge, Cambridge, UK, 2008
Talk of the city: Our tweets, our community happiness
D Quercia, DÒ Séaghdha, J Crowcroft
Proceedings of the International AAAI Conference on Web and Social Media 6 …, 2012
Morph-fitting: Fine-tuning word vector spaces with simple language-specific rules
I Vulić, N Mrkšić, R Reichart, DÓ Séaghdha, S Young, A Korhonen
arXiv preprint arXiv:1706.00377, 2017
Emoticons and phrases: Status symbols in social media
S Tchokni, DO Séaghdha, D Quercia
Proceedings of the International AAAI Conference on Web and Social Media 8 …, 2014
Exploring subdomain variation in biomedical language
T Lippincott, DO Seaghdha, A Korhonen
BMC bioinformatics 12, 212, 2011
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