Mathematical foundations for a compositional distributional model of meaning B Coecke, M Sadrzadeh, S Clark Linguistic Analysis 36 (1-4), 345-384, 2010 | 686 | 2010 |
Wide-coverage efficient statistical parsing with CCG and log-linear models S Clark, JR Curran Computational Linguistics 33 (4), 493-552, 2007 | 593 | 2007 |
Linguistically motivated large-scale NLP with C&C and Boxer JR Curran, S Clark, J Bos Proceedings of the 45th annual meeting of the Association for Computational …, 2007 | 404 | 2007 |
Parsing the WSJ using CCG and log-linear models S Clark, JR Curran Proceedings of the 42nd Annual Meeting of the Association for Computational …, 2004 | 384 | 2004 |
A tale of two parsers: Investigating and combining graph-based and transition-based dependency parsing Y Zhang, S Clark Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008 | 378 | 2008 |
Language independent NER using a maximum entropy tagger JR Curran, S Clark Proceedings of the seventh conference on Natural language learning at HLT …, 2003 | 353 | 2003 |
Vector Space Models of Lexical Meaning S Clark Handbook of Contemporary Semantic Theory — second edition, Chapter 16, 2015 | 312 | 2015 |
Wide-coverage semantic representations from a CCG parser J Bos, S Clark, M Steedman, JR Curran, J Hockenmaier COLING 2004: Proceedings of the 20th International Conference on …, 2004 | 299 | 2004 |
Syntactic processing using the generalized perceptron and beam search Y Zhang, S Clark Computational linguistics 37 (1), 105-151, 2011 | 268 | 2011 |
Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input A Lazaridou, KM Hermann, K Tuyls, S Clark 6th International Conference on Learning Representations (ICLR 2018), 2018 | 233 | 2018 |
What Happens Next? Event Prediction using a Compositional Neural Network Model M Granroth-Wilding, S Clark Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16), 2016 | 200 | 2016 |
Bootstrapping statistical parsers from small datasets M Steedman, M Osborne, A Sarkar, S Clark, R Hwa, J Hockenmaier, ... Proceedings of the Tenth Conference on European Chapter of the Association …, 2003 | 197 | 2003 |
Class-based probability estimation using a semantic hierarchy S Clark, D Weir Computational Linguistics 28 (2), 187-206, 2002 | 196 | 2002 |
Combining Symbolic and Distributional Models of Meaning S Clark, S Pulman AAAI Spring Symposium: Quantum Interaction, 52-55, 2007 | 192 | 2007 |
The importance of supertagging for wide-coverage CCG parsing S Clark, JR Curran COLING 2004: Proceedings of the 20th International Conference on …, 2004 | 187 | 2004 |
Emergent Communication through Negotiation K Cao, A Lazaridou, M Lanctot, JZ Leibo, K Tuyls, S Clark 6th International Conference on Learning Representations (ICLR 2018), 2018 | 184 | 2018 |
Specializing Word Embeddings for Similarity or Relatedness D Kiela, F Hill, S Clark Proceedings of the Empirical Methods in Natural Language Processing Conference, 2015 | 182 | 2015 |
A Systematic Study of Semantic Vector Space Model Parameters D Kiela, S Clark 2nd Workshop on Continuous Vector Space Models and their Compositionality (CVSC), 2014 | 182 | 2014 |
Bootstrapping POS-taggers using unlabelled data S Clark, JR Curran, M Osborne Proceedings of the seventh conference on Natural language learning at HLT …, 2003 | 180 | 2003 |
A compositional distributional model of meaning S Clark, B Coecke, M Sadrzadeh Proceedings of the Second Quantum Interaction Symposium (QI-2008), 133-140, 2008 | 172 | 2008 |