| 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 | 613 | 2018 |
| 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 | 602 | 2020 |
| Opt: Open pre-trained transformer language models S Zhang, S Roller, N Goyal, M Artetxe, M Chen, S Chen, C Dewan, ... arXiv preprint arXiv:2205.01068, 2022 | 298* | 2022 |
| Neural text generation with unlikelihood training S Welleck, I Kulikov, S Roller, E Dinan, K Cho, J Weston arXiv preprint arXiv:1908.04319, 2019 | 295 | 2019 |
| Supervised Text-based Geolocation Using Language Models on an Adaptive Grid S Roller, M Speriosu, S Rallapalli, B Wing, J Baldridge | 264 | 2012 |
| Inclusive yet selective: Supervised distributional hypernymy detection S Roller, K Erk, G Boleda Proceedings of COLING 2014, the 25th international conference on …, 2014 | 204 | 2014 |
| 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 | 183 | 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 | 132 | 2016 |
| Hearst patterns revisited: Automatic hypernym detection from large text corpora S Roller, D Kiela, M Nickel arXiv preprint arXiv:1806.03191, 2018 | 123 | 2018 |
| 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 | 113 | 2019 |
| Acute-eval: Improved dialogue evaluation with optimized questions and multi-turn comparisons M Li, J Weston, S Roller arXiv preprint arXiv:1909.03087, 2019 | 112 | 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 | 106 | 2013 |
| 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 | 87 | 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 | 73 | 2016 |
| 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 | 65 | 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 | 57 | 2013 |
| Hash layers for large sparse models S Roller, S Sukhbaatar, J Weston Advances in Neural Information Processing Systems 34, 17555-17566, 2021 | 52 | 2021 |
| 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 | 49 | 2019 |
| Adding chit-chat to enhance task-oriented dialogues K Sun, S Moon, P Crook, S Roller, B Silvert, B Liu, Z Wang, H Liu, E Cho, ... arXiv preprint arXiv:2010.12757, 2020 | 38 | 2020 |
| 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 | 37 | 2020 |
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