John Wieting
John Wieting
Unknown affiliation
Verified email at ttic.edu
Title
Cited by
Cited by
Year
Towards universal paraphrastic sentence embeddings
J Wieting, M Bansal, K Gimpel, K Livescu
arXiv preprint arXiv:1511.08198, 2015
4332015
Towards universal paraphrastic sentence embeddings
J Wieting, M Bansal, K Gimpel, K Livescu
arXiv preprint arXiv:1511.08198, 2015
4332015
From paraphrase database to compositional paraphrase model and back
J Wieting, M Bansal, K Gimpel, K Livescu
Transactions of the Association for Computational Linguistics 3, 345-358, 2015
2232015
From paraphrase database to compositional paraphrase model and back
J Wieting, M Bansal, K Gimpel, K Livescu
Transactions of the Association for Computational Linguistics 3, 345-358, 2015
2232015
Adversarial example generation with syntactically controlled paraphrase networks
M Iyyer, J Wieting, K Gimpel, L Zettlemoyer
arXiv preprint arXiv:1804.06059, 2018
1792018
Charagram: Embedding words and sentences via character n-grams
J Wieting, M Bansal, K Gimpel, K Livescu
arXiv preprint arXiv:1607.02789, 2016
1542016
Paranmt-50m: Pushing the limits of paraphrastic sentence embeddings with millions of machine translations
J Wieting, K Gimpel
arXiv preprint arXiv:1711.05732, 2017
1062017
Revisiting recurrent networks for paraphrastic sentence embeddings
J Wieting, K Gimpel
arXiv preprint arXiv:1705.00364, 2017
672017
No training required: Exploring random encoders for sentence classification
J Wieting, D Kiela
arXiv preprint arXiv:1901.10444, 2019
502019
Learning paraphrastic sentence embeddings from back-translated bitext
J Wieting, J Mallinson, K Gimpel
arXiv preprint arXiv:1706.01847, 2017
442017
compare-mt: A tool for holistic comparison of language generation systems
G Neubig, ZY Dou, J Hu, P Michel, D Pruthi, X Wang, J Wieting
arXiv preprint arXiv:1903.07926, 2019
282019
UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement
H He, J Wieting, K Gimpel, J Rao, J Lin
242016
Beyond bleu: Training neural machine translation with semantic similarity
J Wieting, T Berg-Kirkpatrick, K Gimpel, G Neubig
arXiv preprint arXiv:1909.06694, 2019
182019
Simple and effective paraphrastic similarity from parallel translations
J Wieting, K Gimpel, G Neubig, T Berg-Kirkpatrick
arXiv preprint arXiv:1909.13872, 2019
142019
Cogcompnlp: Your swiss army knife for nlp
D Khashabi, M Sammons, B Zhou, T Redman, C Christodoulopoulos, ...
Proceedings of the Eleventh International Conference on Language Resources …, 2018
102018
Clustering With Side Information: From a Probabilistic Model to a Deterministic Algorithm
D Khashabi, J Wieting, JY Liu, F Liang
arXiv preprint arXiv:1508.06235, 2015
72015
Quality signals in generated stories
M Sagarkar, J Wieting, L Tu, K Gimpel
Proceedings of the Seventh Joint Conference on Lexical and Computational …, 2018
62018
Improving candidate generation for low-resource cross-lingual entity linking
S Zhou, S Rijhwani, J Wieting, J Carbonell, G Neubig
Transactions of the Association for Computational Linguistics 8, 109-124, 2020
32020
A Bilingual Generative Transformer for Semantic Sentence Embedding
J Wieting, G Neubig, T Berg-Kirkpatrick
arXiv preprint arXiv:1911.03895, 2019
22019
Illinois Cognitive Computation Group UI-CCG TAC 2013 Entity Linking and Slot Filler Validation Systems.
X Cheng, B Chen, R Samdani, KW Chang, Z Fei, M Sammons, J Wieting, ...
TAC, 2013
22013
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