| Wizard of wikipedia: Knowledge-powered conversational agents E Dinan, S Roller, K Shuster, A Fan, M Auli, J Weston arXiv preprint arXiv:1811.01241, 2018 | 320 | 2018 |
| Supervised Text-based Geolocation Using Language Models on an Adaptive Grid S Roller, M Speriosu, S Rallapalli, B Wing, J Baldridge | 239 | 2012 |
| Recipes for building an open-domain chatbot S Roller, E Dinan, N Goyal, D Ju, M Williamson, Y Liu, J Xu, M Ott, ... arXiv preprint arXiv:2004.13637, 2020 | 208 | 2020 |
| Inclusive yet selective: Supervised distributional hypernymy detection S Roller, K Erk, G Boleda Proceedings of COLING 2014, the 25th International Conference on …, 2014 | 186 | 2014 |
| Neural text generation with unlikelihood training S Welleck, I Kulikov, S Roller, E Dinan, K Cho, J Weston arXiv preprint arXiv:1908.04319, 2019 | 134 | 2019 |
| MGNC-CNN: A simple approach to exploiting multiple word embeddings for sentence classification Y Zhang, S Roller, B Wallace arXiv preprint arXiv:1603.00968, 2016 | 114 | 2016 |
| What makes a good conversation? how controllable attributes affect human judgments A See, S Roller, D Kiela, J Weston arXiv preprint arXiv:1902.08654, 2019 | 113 | 2019 |
| A multimodal LDA model integrating textual, cognitive and visual modalities S Roller, SS Im Walde Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013 | 97 | 2013 |
| Hearst patterns revisited: Automatic hypernym detection from large text corpora S Roller, D Kiela, M Nickel arXiv preprint arXiv:1806.03191, 2018 | 84 | 2018 |
| Relations such as hypernymy: Identifying and exploiting hearst patterns in distributional vectors for lexical entailment S Roller, K Erk arXiv preprint arXiv:1605.05433, 2016 | 82 | 2016 |
| Representing meaning with a combination of logical and distributional models I Beltagy, S Roller, P Cheng, K Erk, RJ Mooney Computational Linguistics 42 (4), 763-808, 2016 | 71* | 2016 |
| Acute-eval: Improved dialogue evaluation with optimized questions and multi-turn comparisons M Li, J Weston, S Roller arXiv preprint arXiv:1909.03087, 2019 | 61 | 2019 |
| Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training M Li, S Roller, I Kulikov, S Welleck, YL Boureau, K Cho, J Weston arXiv preprint arXiv:1911.03860, 2019 | 54 | 2019 |
| Exploring vector space models to predict the compositionality of German noun-noun compounds SS Im Walde, S Müller, S Roller Second Joint Conference on Lexical and Computational Semantics (* SEM …, 2013 | 54 | 2013 |
| Inferring concept hierarchies from text corpora via hyperbolic embeddings M Le, S Roller, L Papaxanthos, D Kiela, M Nickel arXiv preprint arXiv:1902.00913, 2019 | 46 | 2019 |
| The dialogue dodecathlon: Open-domain knowledge and image grounded conversational agents K Shuster, D Ju, S Roller, E Dinan, YL Boureau, J Weston arXiv preprint arXiv:1911.03768, 2019 | 28 | 2019 |
| Open-domain conversational agents: Current progress, open problems, and future directions S Roller, YL Boureau, J Weston, A Bordes, E Dinan, A Fan, D Gunning, ... arXiv preprint arXiv:2006.12442, 2020 | 21 | 2020 |
| PIC a different word: A simple model for lexical substitution in context S Roller, K Erk Proceedings of the 2016 Conference of the North American Chapter of the …, 2016 | 21 | 2016 |
| Utexas: Natural language semantics using distributional semantics and probabilistic logic I Beltagy, S Roller, G Boleda, K Erk, R Mooney Proceedings of the 8th International Workshop on Semantic Evaluation …, 2014 | 20 | 2014 |
| The (un) expected effects of applying standard cleansing models to human ratings on compositionality S Roller, SS im Walde, S Scheible Proceedings of the 9th Workshop on Multiword Expressions, 32-41, 2013 | 19 | 2013 |
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