Diarmuid Ó Séaghdha
Diarmuid Ó Séaghdha
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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
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
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
Semantic specialization of distributional word vector spaces using monolingual and cross-lingual constraints
N Mrkšić, I Vulić, DÓ 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
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
Hierarchical belief states for digital assistants
B Thomson, A Johannsen, DÓ Séaghdha, F Flego, L Simonelli, SJ Young, ...
US Patent 10,482,874, 2019
Latent variable models of selectional preference
DO Séaghdha
Proceedings of the 48th Annual Meeting of the Association for Computational …, 2010
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
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
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
Semantic relations between nominals
V Nastase, S Szpakowicz, P Nakov, DÓ Séagdha
Springer Nature, 2022
Conversational semantic parsing for dialog state tracking
J Cheng, D Agrawal, HM Alonso, S Bhargava, J Driesen, F Flego, ...
arXiv preprint arXiv:2010.12770, 2020
Semantic classification with distributional kernels
D Ó Séaghdha, A Copestake
Proceedings of the 22nd International Conference on Computational …, 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
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
Learning compound noun semantics
DO Séaghdha
University of Cambridge, Cambridge, UK, 2008
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
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