| Complexity-weighted loss and diverse reranking for sentence simplification R Kriz, J Sedoc, M Apidianaki, C Zheng, G Kumar, E Miltsakaki, ... arXiv preprint arXiv:1904.02767, 2019 | 24 | 2019 |
| Comparison of Diverse Decoding Methods from Conditional Language Models D Ippolito, R Kriz, M Kustikova, J Sedoc, C Callison-Burch arXiv preprint arXiv:1906.06362, 2019 | 23 | 2019 |
| Semantic word clusters using signed spectral clustering J Sedoc, J Gallier, D Foster, L Ungar Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 20* | 2017 |
| Domain Aware Neural Dialog System S Choudhary, P Srivastava, L Ungar, J Sedoc arXiv preprint arXiv:1708.00897, 2017 | 18 | 2017 |
| Predicting emotional word ratings using distributional representations and signed clustering J Sedoc, D Preoţiuc-Pietro, L Ungar Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 17 | 2017 |
| Modeling Empathy and Distress in Reaction to News Stories S Buechel, A Buffone, B Slaff, L Ungar, J Sedoc arXiv preprint arXiv:1808.10399, 2018 | 16 | 2018 |
| Continual Learning for Sentence Representations Using Conceptors T Liu, L Ungar, J Sedoc arXiv preprint arXiv:1904.09187, 2019 | 15 | 2019 |
| ChatEval: A Tool for Chatbot Evaluation J Sedoc, D Ippolito, A Kirubarajan, J Thirani, L Ungar, C Callison-Burch Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 12 | 2019 |
| Conceptor Debiasing of Word Representations Evaluated on WEAT S Karve, L Ungar, J Sedoc arXiv preprint arXiv:1906.05993, 2019 | 10 | 2019 |
| Unsupervised post-processing of word vectors via conceptor negation T Liu, L Ungar, J Sedoc Proceedings of the AAAI Conference on Artificial Intelligence 33, 6778-6785, 2019 | 8 | 2019 |
| Enterprise to Computer: Star Trek chatbot G Jena, M Vashisht, A Basu, L Ungar, J Sedoc arXiv preprint arXiv:1708.00818, 2017 | 7 | 2017 |
| Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors T Liu, J Sedoc, L Ungar arXiv preprint arXiv:1811.11002, 2018 | 6 | 2018 |
| ChatEval: A Tool for the Systematic Evaluation of Chatbots J Sedoc, D Ippolito, A Kirubarajan, J Thirani, L Ungar, C Callison-Burch Proceedings of the Workshop on Intelligent Interactive Systems and Language …, 2018 | 6 | 2018 |
| Learning Word Ratings for Empathy and Distress from Document-Level User Responses J Sedoc, S Buechel, Y Nachmany, A Buffone, L Ungar arXiv preprint arXiv:1912.01079, 2019 | 5 | 2019 |
| Collecting Verified COVID-19 Question Answer Pairs A Poliak, M Fleming, C Costello, KW Murray, M Yarmohammadi, ... | 4 | 2020 |
| An Analysis of BERT FAQ Retrieval Models for COVID-19 Infobot S Sun, J Sedoc | 2 | 2020 |
| Revisiting Memory-Efficient Incremental Coreference Resolution P Xia, J Sedoc, B Van Durme arXiv preprint arXiv:2005.00128, 2020 | 2 | 2020 |
| The Role of Protected Class Word Lists in Bias Identification of Contextualized Word Representations J Sedoc, L Ungar Proceedings of the First Workshop on Gender Bias in Natural Language …, 2019 | 2 | 2019 |
| Fast Network Simulation Through Approximation or: How Blind Men Can Describe Elephants CW Kazer, J Sedoc, KKW Ng, V Liu, LH Ungar Proceedings of the 17th ACM Workshop on Hot Topics in Networks, 141-147, 2018 | 2 | 2018 |
| Deriving Verb Predicates By Clustering Verbs with Arguments J Sedoc, D Wijaya, M Rouhizadeh, A Schwartz, L Ungar arXiv preprint arXiv:1708.00416, 2017 | 2 | 2017 |
Lyle UngarUniversity of PennsylvaniaVerified email at cis.upenn.edu
