Universal Dependencies 1.2 J Nivre, Ž Agić, MJ Aranzabe, M Asahara, A Atutxa, M Ballesteros, J Bauer, ... Universal Dependencies Consortium, 2015 | 249 | 2015 |
Emotion detection on tv show transcripts with sequence-based convolutional neural networks SM Zahiri, JD Choi Workshops at the thirty-second aaai conference on artificial intelligence, 2018 | 237 | 2018 |
It depends: Dependency parser comparison using a web-based evaluation tool JD Choi, J Tetreault, A Stent Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 235 | 2015 |
Overview of the SPMRL 2013 shared task: A cross-framework evaluation of parsing morphologically rich languages D Seddah, R Tsarfaty, S Kübler, M Candito, JD Choi, R Farkas, J Foster, ... Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically …, 2013 | 211 | 2013 |
Towards comprehensive syntactic and semantic annotations of the clinical narrative D Albright, A Lanfranchi, A Fredriksen, WF Styler IV, C Warner, JD Hwang, ... Journal of the American Medical Informatics Association 20 (5), 922-930, 2013 | 161 | 2013 |
Transition-based dependency parsing with selectional branching JD Choi, A McCallum Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 147 | 2013 |
Lexicon integrated CNN models with attention for sentiment analysis B Shin, T Lee, JD Choi arXiv preprint arXiv:1610.06272, 2016 | 145 | 2016 |
A corpus of full-text journal articles is a robust evaluation tool for revealing differences in performance of biomedical natural language processing tools K Verspoor, KB Cohen, A Lanfranchi, C Warner, HL Johnson, C Roeder, ... BMC bioinformatics 13, 1-26, 2012 | 130 | 2012 |
Introducing the SPMRL 2014 shared task on parsing morphologically-rich languages D Seddah, S Kübler, R Tsarfaty Proceedings of the First Joint Workshop on Statistical Parsing of …, 2014 | 125 | 2014 |
Revealing the myth of higher-order inference in coreference resolution L Xu, JD Choi arXiv preprint arXiv:2009.12013, 2020 | 103 | 2020 |
Character identification on multiparty conversation: Identifying mentions of characters in tv shows YH Chen, JD Choi Proceedings of the 17th annual meeting of the special interest group on …, 2016 | 101 | 2016 |
Getting the most out of transition-based dependency parsing JD Choi, M Palmer Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011 | 93 | 2011 |
The stem cell hypothesis: Dilemma behind multi-task learning with transformer encoders H He, JD Choi arXiv preprint arXiv:2109.06939, 2021 | 92 | 2021 |
Propbank annotation guidelines C Bonial, O Babko-Malaya, JD Choi, J Hwang, M Palmer Center for Computational Language and Education Research, CU-Boulder 9, 90, 2010 | 73 | 2010 |
Towards unified dialogue system evaluation: A comprehensive analysis of current evaluation protocols SE Finch, JD Choi arXiv preprint arXiv:2006.06110, 2020 | 72 | 2020 |
Nl-augmenter: A framework for task-sensitive natural language augmentation KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ... arXiv preprint arXiv:2112.02721, 2021 | 71 | 2021 |
FriendsQA: Open-domain question answering on TV show transcripts Z Yang, JD Choi Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue …, 2019 | 67 | 2019 |
Automatic text-based personality recognition on monologues and multiparty dialogues using attentive networks and contextual embeddings (student abstract) H Jiang, X Zhang, JD Choi Proceedings of the AAAI conference on artificial intelligence 34 (10), 13821 …, 2020 | 66 | 2020 |
Dynamic feature induction: The last gist to the state-of-the-art JD Choi Proceedings of the 2016 Conference of the North American Chapter of the …, 2016 | 65 | 2016 |
Classification of radiology reports using neural attention models B Shin, FH Chokshi, T Lee, JD Choi 2017 international joint conference on neural networks (IJCNN), 4363-4370, 2017 | 62 | 2017 |