Diarmuid Ó Séaghdha

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 14

Top Venues

CoRR

ACL (1)

Nat. Lang. Eng.

COLING

University of Cambridge, UK (PHD)

Education History

University of Cambridge, UK

PHD

Publications

Cecilia Aas, Hisham Abdelsalam, Irina Belousova, Shruti Bhargava, Jianpeng Cheng, Robert Daland, Joris Driesen, Federico Flego, Tristan Guigue, Anders Johannsen, Partha Lal, Jiarui Lu, Joel Ruben Antony Moniz, Nathan Perkins, Dhivya Piraviperumal, Stephen Pulman, Diarmuid Ó Séaghdha, David Q. Sun, John Torr, Marco Del Vecchio, Jay Wacker, Jason D. Williams, Hong Yu
Intelligent Assistant Language Understanding On Device. CoRR (2023)
Jianpeng Cheng, Devang Agrawal, Héctor Martínez Alonso, Shruti Bhargava, Joris Driesen, Federico Flego, Dain Kaplan, Dimitri Kartsaklis, Lin Li, Dhivya Piraviperumal, Jason D. Williams, Hong Yu, Diarmuid Ó Séaghdha, Anders Johannsen
Conversational Semantic Parsing for Dialog State Tracking. EMNLP (1) (2020)
Jianpeng Cheng, Devang Agrawal, Héctor Martínez Alonso, Shruti Bhargava, Joris Driesen, Federico Flego, Dain Kaplan, Dimitri Kartsaklis, Lin Li, Dhivya Piraviperumal, Jason D. Williams, Hong Yu, Diarmuid Ó Séaghdha, Anders Johannsen
Conversational Semantic Parsing for Dialog State Tracking. CoRR (2020)
Iris Hendrickx, Su Nam Kim, Zornitsa Kozareva, Preslav Nakov, Diarmuid Ó Séaghdha, Sebastian Padó, Marco Pennacchiotti, Lorenza Romano, Stan Szpakowicz
SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals. CoRR (2019)
Iris Hendrickx, Preslav Nakov, Stan Szpakowicz, Zornitsa Kozareva, Diarmuid Ó Séaghdha, Tony Veale
SemEval-2013 Task 4: Free Paraphrases of Noun Compounds. CoRR (2019)
Ivan Vulic, Nikola Mrksic, Roi Reichart, Diarmuid Ó Séaghdha, Steve J. Young, Anna Korhonen
Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules. ACL (1) (2017)
Nikola Mrksic, Ivan Vulic, Diarmuid Ó Séaghdha, Ira Leviant, Roi Reichart, Milica Gasic, Anna Korhonen, Steve J. Young
Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints. CoRR (2017)
Nikola Mrksic, Ivan Vulic, Diarmuid Ó Séaghdha, Ira Leviant, Roi Reichart, Milica Gasic, Anna Korhonen, Steve J. Young
Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints. Trans. Assoc. Comput. Linguistics 5 (2017)
Nikola Mrksic, Diarmuid Ó Séaghdha, Tsung-Hsien Wen, Blaise Thomson, Steve J. Young
Neural Belief Tracker: Data-Driven Dialogue State Tracking. ACL (1) (2017)
Ivan Vulic, Nikola Mrksic, Roi Reichart, Diarmuid Ó Séaghdha, Steve J. Young, Anna Korhonen
Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules. CoRR (2017)
Nikola Mrksic, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gasic, Lina Maria Rojas-Barahona, Pei-Hao Su, David Vandyke, Tsung-Hsien Wen, Steve J. Young
Counter-fitting Word Vectors to Linguistic Constraints. HLT-NAACL (2016)
Nikola Mrksic, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gasic, Lina Maria Rojas-Barahona, Pei-Hao Su, David Vandyke, Tsung-Hsien Wen, Steve J. Young
Counter-fitting Word Vectors to Linguistic Constraints. CoRR (2016)
Kathy McKeown, Hal Daumé III, Snigdha Chaturvedi, John Paparrizos, Kapil Thadani, Pablo Barrio, Or Biran, Suvarna Bothe, Michael Collins, Kenneth R. Fleischmann, Luis Gravano, Rahul Jha, Ben King, Kevin McInerney, Taesun Moon, Arvind Neelakantan, Diarmuid Ó Séaghdha, Dragomir R. Radev, Thomas Clay Templeton, Simone Teufel
Predicting the impact of scientific concepts using full-text features. J. Assoc. Inf. Sci. Technol. 67 (11) (2016)
Nikola Mrksic, Diarmuid Ó Séaghdha, Tsung-Hsien Wen, Blaise Thomson, Steve J. Young
Neural Belief Tracker: Data-Driven Dialogue State Tracking. CoRR (2016)
Nikola Mrksic, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gasic, Pei-hao Su, David Vandyke, Tsung-Hsien Wen, Steve J. Young
Multi-domain Dialog State Tracking using Recurrent Neural Networks. ACL (2) (2015)
Nikola Mrksic, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gasic, Pei-hao Su, David Vandyke, Tsung-Hsien Wen, Steve J. Young
Multi-domain Dialog State Tracking using Recurrent Neural Networks. CoRR (2015)
Diarmuid Ó Séaghdha, Anna Korhonen
Probabilistic Distributional Semantics with Latent Variable Models. Comput. Linguistics 40 (3) (2014)
Simo Editha Tchokni, Diarmuid Ó Séaghdha, Daniele Quercia
Emoticons and Phrases: Status Symbols in Social Media. ICWSM (2014)
Diarmuid Ó Séaghdha, Simone Teufel
Unsupervised learning of rhetorical structure with un-topic models. COLING (2014)
Yufan Guo, Diarmuid Ó Séaghdha, Ilona Silins, Lin Sun, Johan Högberg, Ulla Stenius, Anna Korhonen
CRAB 2.0: A text mining tool for supporting literature review in chemical cancer risk assessment. COLING (Demos) (2014)
Diarmuid Ó Séaghdha, Ann A. Copestake
Interpreting compound nouns with kernel methods. Nat. Lang. Eng. 19 (3) (2013)
Zhe Wang, Daniele Quercia, Diarmuid Ó Séaghdha
Reading tweeting minds: real-time analysis of short text for computational social science. HT (2013)
Iris Hendrickx, Zornitsa Kozareva, Preslav Nakov, Diarmuid Ó Séaghdha, Stan Szpakowicz, Tony Veale
SemEval-2013 Task 4: Free Paraphrases of Noun Compounds. SemEval@NAACL-HLT (2013)
Thomas Lippincott, Anna Korhonen, Diarmuid Ó Séaghdha
Learning Syntactic Verb Frames using Graphical Models. ACL (1) (2012)
Sandro Bauer, Anastasios Noulas, Diarmuid Ó Séaghdha, Stephen Clark, Cecilia Mascolo
Talking Places: Modelling and Analysing Linguistic Content in Foursquare. SocialCom/PASSAT (2012)
Diarmuid Ó Séaghdha, Anna Korhonen
Modelling selectional preferences in a lexical hierarchy. *SEM@NAACL-HLT (2012)
Daniele Quercia, Diarmuid Ó Séaghdha, Jon Crowcroft
Talk of the City: Our Tweets, Our Community Happiness. ICWSM (2012)
Yuan Cao Zhang, Diarmuid Ó Séaghdha, Daniele Quercia, Tamas Jambor
Auralist: introducing serendipity into music recommendation. WSDM (2012)
Diarmuid Ó Séaghdha, Anna Korhonen
Probabilistic models of similarity in syntactic context. EMNLP (2011)
Thomas Lippincott, Diarmuid Ó Séaghdha, Anna Korhonen
Exploring subdomain variation in biomedical language. BMC Bioinform. 12 (2011)
Cristina Butnariu, Su Nam Kim, Preslav Nakov, Diarmuid Ó Séaghdha, Stan Szpakowicz, Tony Veale
SemEval-2 Task 9: The Interpretation of Noun Compounds Using Paraphrasing Verbs and Prepositions. SemEval@ACL (2010)
Iris Hendrickx, Su Nam Kim, Zornitsa Kozareva, Preslav Nakov, Diarmuid Ó Séaghdha, Sebastian Padó, Marco Pennacchiotti, Lorenza Romano, Stan Szpakowicz
SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations between Pairs of Nominals. SemEval@ACL (2010)
Tom Lippincott, Diarmuid Ó Séaghdha, Lin Sun, Anna Korhonen
Exploring variation across biomedical subdomains. COLING (2010)
Diarmuid Ó Séaghdha
Latent Variable Models of Selectional Preference. ACL (2010)
Iris Hendrickx, Su Nam Kim, Zornitsa Kozareva, Preslav Nakov, Diarmuid Ó Séaghdha, Sebastian Padó, Marco Pennacchiotti, Lorenza Romano, Stan Szpakowicz
SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals. SEW@NAACL-HLT (2009)
Diarmuid Ó Séaghdha
Semantic Classification with WordNet Kernels. HLT-NAACL (Short Papers) (2009)
Cristina Butnariu, Su Nam Kim, Preslav Nakov, Diarmuid Ó Séaghdha, Stan Szpakowicz, Tony Veale
SemEval-2010 Task 9: The Interpretation of Noun Compounds Using Paraphrasing Verbs and Prepositions. SEW@NAACL-HLT (2009)
Andreas Vlachos, Paula Buttery, Diarmuid Ó Séaghdha, Ted Briscoe
Biomedical Event Extraction without Training Data. BioNLP@HLT-NAACL (Shared Task) (2009)
Diarmuid Ó Séaghdha, Ann A. Copestake
Using Lexical and Relational Similarity to Classify Semantic Relations. EACL (2009)
Diarmuid Ó Séaghdha, Ann A. Copestake
Semantic Classification with Distributional Kernels. COLING (2008)
Diarmuid Ó Séaghdha
Annotating and Learning Compound Noun Semantics. ACL (2007)

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Publication Activity (10 Years)

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Diarmuid Ó Séaghdha