Joćo Sedoc
Joćo Sedoc
Assistant Research Professor, Computer Science, Johns Hopkins University
Verified email at jhu.edu - Homepage
TitleCited byYear
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
14*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
92017
Domain Aware Neural Dialog System
S Choudhary, P Srivastava, L Ungar, J Sedoc
arXiv preprint arXiv:1708.00897, 2017
82017
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
52019
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
52019
Enterprise to Computer: Star Trek chatbot
G Jena, M Vashisht, A Basu, L Ungar, J Sedoc
arXiv preprint arXiv:1708.00818, 2017
42017
Continual Learning for Sentence Representations Using Conceptors
T Liu, L Ungar, J Sedoc
arXiv preprint arXiv:1904.09187, 2019
32019
Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors
T Liu, J Sedoc, L Ungar
arXiv preprint arXiv:1811.11002, 2018
32018
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
32018
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
22018
Learning Neural Emotion Analysis from 100 Observations: The Surprising Effectiveness of Pre-Trained Word Representations
S Buechel, J Sedoc, HA Schwartz, L Ungar
arXiv preprint arXiv:1810.10949, 2018
12018
Neural Tree Transducers for Tree to Tree Learning
J Sedoc, D Foster, L Ungar
12018
Multiscale Hidden Markov Models For Covariance Prediction
J Sedoc, J Rodu, D Foster, L Ungar
12018
Deriving Verb Predicates By Clustering Verbs with Arguments
J Sedoc, D Wijaya, M Rouhizadeh, A Schwartz, L Ungar
arXiv preprint arXiv:1708.00416, 2017
12017
Getting in shape: word embedding subspaces
T Zhou, J Sedoc, J Rodu
Proceedings of the 28th International Joint Conference on Artificial …, 2019
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
2019
Conceptor Debiasing of Word Representations Evaluated on WEAT
S Karve, L Ungar, J Sedoc
arXiv preprint arXiv:1906.05993, 2019
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
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
2019
Anonymization of Sensitive Information in Medical Health Records
B Saluja, G Kumar, J Sedoc, C Callison-Burch
2019
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