Overview of the dialogue breakdown detection challenge 4 R Higashinaka, LF D’Haro, BA Shawar, RE Banchs, K Funakoshi, ... Increasing Naturalness and Flexibility in Spoken Dialogue Interaction: 10th …, 2021 | 69 | 2021 |
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 | 57 | 2019 |
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... arXiv preprint arXiv:2102.01672, 2021 | 56 | 2021 |
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 | 49 | 2019 |
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 | 46 | 2018 |
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 | 41 | 2019 |
Continual Learning for Sentence Representations Using Conceptors T Liu, L Ungar, J Sedoc arXiv preprint arXiv:1904.09187, 2019 | 29 | 2019 |
Conceptor Debiasing of Word Representations Evaluated on WEAT S Karve, L Ungar, J Sedoc arXiv preprint arXiv:1906.05993, 2019 | 27 | 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 | 26* | 2017 |
Natural language processing methods are sensitive to sub-clinical linguistic differences in schizophrenia spectrum disorders SX Tang, R Kriz, S Cho, SJ Park, J Harowitz, RE Gur, MT Bhati, DH Wolf, ... npj Schizophrenia 7 (1), 1-8, 2021 | 24 | 2021 |
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 | 21 | 2017 |
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 | 19 | 2019 |
Domain Aware Neural Dialog System S Choudhary, P Srivastava, L Ungar, J Sedoc arXiv preprint arXiv:1708.00897, 2017 | 19 | 2017 |
Incremental Neural Coreference Resolution in Constant Memory P Xia, J Sedoc, B Van Durme Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 14 | 2020 |
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 | 14 | 2019 |
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 | 13 | 2019 |
Item Response Theory for Efficient Human Evaluation of Chatbots J Sedoc, L Ungar Proceedings of the First Workshop on Evaluation and Comparison of NLP …, 2020 | 12 | 2020 |
Collecting Verified COVID-19 Question Answer Pairs A Poliak, M Fleming, C Costello, KW Murray, M Yarmohammadi, ... | 12 | 2020 |
Enterprise to Computer: Star Trek chatbot G Jena, M Vashisht, A Basu, L Ungar, J Sedoc arXiv preprint arXiv:1708.00818, 2017 | 12 | 2017 |
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 | 10 | 2018 |