Stephen Roller
- Artificial Intelligence top 2%
- Topic Modeling 13
- Natural Language Processing Techniques 11
- Speech and dialogue systems 6
- AI in Service Interactions 2
- Bayesian Modeling and Causal Inference 1
-
- Geographic Information Systems Studies 1
- Transportation top 5%
-
- Language and cultural evolution 1
-
- Digital Games and Media 1
- Co-authors
- Jason WestonKatrin ErkSabine Schulte im WaldeGemma BoledaDouwe KielaAbigail SeeJason BaldridgeEmily Dinan
- Journals
- Computational Linguistics (1 paper)North American Chapter of the Association for Computational Linguistics (1 paper)Empirical Methods in Natural Language Processing (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Stephen Roller
16 papers receiving 664 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 597
- Geography, Planning and Development 64
- Transportation 64
- Computer Vision and Pattern Recognition 130
- Signal Processing 42
Countries citing papers authored by Stephen Roller
This map shows the geographic impact of Stephen Roller's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stephen Roller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Roller more than expected).
Fields of papers citing papers by Stephen Roller
This network shows the impact of papers produced by Stephen Roller. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stephen Roller. The network helps show where Stephen Roller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen Roller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 21 | |
| 2 | 2022 | 25 | |
| 3 | 2021 | 22 | |
| 4 | Neural Text Generation With Unlikelihood Training | 2020 | 46 |
| 5 | 2020 | 67 | |
| 6 | 2019 | 119 | |
| 7 | Wizard of Wikipedia: Knowledge-Powered Conversational Agents | 2018 | 94 |
| 8 | 2016 | 16 | |
| 9 | 2016 | 28 | |
| 10 | Inclusive yet Selective: Supervised Distributional Hypernymy Detection | 2014 | 85 |
| 11 | 2014 | 11 | |
| 12 | 2014 | 3 | |
| 13 | The (Un)expected Effects of Applying Standard Cleansing Models to Human Ratings on Compositionality | 2013 | 6 |
| 14 | 2013 | 61 | |
| 15 | Supervised Text-based Geolocation Using Language Models on an Adaptive Grid | 2012 | 114 |
| 16 | 2011 | 2 |
About Stephen Roller
Stephen Roller is a scholar working on Artificial Intelligence, Computer Science Applications and Geography, Planning and Development, having authored 16 papers that have together received 720 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (11 papers), Speech and dialogue systems (6 papers), AI in Service Interactions (2 papers), Language and cultural evolution (1 paper), Geographic Information Systems Studies (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Digital Games and Media (1 paper). The work is most often cited by research in Artificial Intelligence (597 citations), Geography, Planning and Development (64 citations) and Transportation (64 citations). Stephen Roller has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Jason Weston, Katrin Erk, Sabine Schulte im Walde, Gemma Boleda, Douwe Kiela, Abigail See, Jason Baldridge, Emily Dinan, Kurt Shuster and Sean Welleck. Their work appears in journals such as Computational Linguistics, North American Chapter of the Association for Computational Linguistics, Empirical Methods in Natural Language Processing, International Conference on Computational Linguistics and International Conference on Learning Representations.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.