| Classifying latent user attributes in twitter D Rao, D Yarowsky, A Shreevats, M Gupta Proceedings of the 2nd international workshop on Search and mining user …, 2010 | 947 | 2010 |
| Semi-supervised polarity lexicon induction D Rao, D Ravichandran Proceedings of the 12th Conference of the European Chapter of the ACL (EACL …, 2009 | 474 | 2009 |
| Entity disambiguation for knowledge base population M Dredze, P McNamee, D Rao, A Gerber, T Finin Proceedings of the 23rd international conference on computational linguistics, 2010 | 447 | 2010 |
| Entity linking: Finding extracted entities in a knowledge base D Rao, P McNamee, M Dredze Multi-source, Multilingual Information Extraction and Summarization, 93-115, 2013 | 275 | 2013 |
| Faithful chain-of-thought reasoning Q Lyu, S Havaldar, A Stein, L Zhang, D Rao, E Wong, M Apidianaki, ... arXiv preprint arXiv:2301.13379, 2023 | 184 | 2023 |
| Hierarchical bayesian models for latent attribute detection in social media D Rao, M Paul, C Fink, D Yarowsky, T Oates, G Coppersmith Proceedings of the international AAAI conference on web and social media 5 …, 2011 | 110 | 2011 |
| Natural language processing with PyTorch: build intelligent language applications using deep learning D Rao, B McMahan " O'Reilly Media, Inc.", 2019 | 104 | 2019 |
| Streaming cross document entity coreference resolution D Rao, P McNamee, M Dredze Coling 2010: Posters, 1050-1058, 2010 | 79 | 2010 |
| Ranking and semi-supervised classification on large scale graphs using map-reduce D Rao, D Yarowsky Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language …, 2009 | 66 | 2009 |
| Detecting latent user properties in social media D Rao, D Yarowsky Proc. of the NIPS MLSN Workshop, 2010 | 60 | 2010 |
| Listening to the world improves speech command recognition B McMahan, D Rao Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 54 | 2018 |
| Part of speech tagging and chunking with HMM and CRF P Awasthi, D Rao, B Ravindran Proceedings of NLP Association of India (NLPAI) Machine Learning Contest 2006, 2006 | 51 | 2006 |
| HLTCOE approaches to knowledge base population at TAC 2009 P McNamee, M Dredze, A Gerber, N Garera, T Finin, J Mayfield, C Piatko, ... Proceedings of Test Analysis Conference 2009 (TAC 09), 2009 | 49 | 2009 |
| Learning Efficient Representations for Fake Speech Detection N Subramani, D Rao Proceedings of the AAAI Conference on Artificial Intelligence, 2020 | 47 | 2020 |
| Part of speech tagging and shallow parsing of Indian languages D Rao, D Yarowsky Shallow Parsing for South Asian Languages 17, 2007 | 30 | 2007 |
| JHU1: An unsupervised approach to person name disambiguation using web snippets D Rao, N Garera, D Yarowsky Proceedings of the Fourth International Workshop on Semantic Evaluations …, 2007 | 28 | 2007 |
| Learning interpretable style embeddings via prompting llms A Patel, D Rao, A Kothary, K McKeown, C Callison-Burch arXiv preprint arXiv:2305.12696, 2023 | 20 | 2023 |
| Affinity measures based on the graph Laplacian D Rao, D Yarowsky, C Callison-Burch Coling 2008: Proceedings of the 3rd Textgraphs workshop on Graph-based …, 2008 | 20 | 2008 |
| KELVIN: Extracting Knowledge from Large Text Collections} J Mayfield, P McNamee, C Harmon, T Finin, D Lawrie, P McNamee, ... AAAI Fall Symposium on Natural Language Access to Big Data 1121, 555-570, 2014 | 18 | 2014 |
| HLTCOE Participation at TAC 2013} P McNamee, T Finin, D Lawrie, J Mayfield, D Lawrie, T Finin, J Mayfield, ... Proceedings of the Sixth Text Analysis Conference 22, 2, 2013 | 8 | 2013 |
David YarowskyProfessor of Computer Science, Johns Hopkins UniversityDirección de correo verificada de jhu.edu
