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Logan Lebanoff
Logan Lebanoff
Soar Technology, Inc.
Verified email at knights.ucf.edu - Homepage
Title
Cited by
Cited by
Year
Adapting the neural encoder-decoder framework from single to multi-document summarization
L Lebanoff, K Song, F Liu
arXiv preprint arXiv:1808.06218, 2018
1822018
Abstract meaning representation for multi-document summarization
K Liao, L Lebanoff, F Liu
arXiv preprint arXiv:1806.05655, 2018
1262018
Scoring sentence singletons and pairs for abstractive summarization
L Lebanoff, K Song, F Dernoncourt, DS Kim, S Kim, W Chang, F Liu
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
1102019
Improving the similarity measure of determinantal point processes for extractive multi-document summarization
S Cho, L Lebanoff, H Foroosh, F Liu
arXiv preprint arXiv:1906.00072, 2019
562019
Analyzing sentence fusion in abstractive summarization
L Lebanoff, J Muchovej, F Dernoncourt, DS Kim, S Kim, W Chang, F Liu
arXiv preprint arXiv:1910.00203, 2019
472019
Automatic detection of vague words and sentences in privacy policies
L Lebanoff, F Liu
arXiv preprint arXiv:1808.06219, 2018
402018
Understanding points of correspondence between sentences for abstractive summarization
L Lebanoff, J Muchovej, F Dernoncourt, DS Kim, L Wang, W Chang, F Liu
arXiv preprint arXiv:2006.05621, 2020
242020
Joint parsing and generation for abstractive summarization
K Song, L Lebanoff, Q Guo, X Qiu, X Xue, C Li, D Yu, F Liu
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8894-8901, 2020
222020
Learning to fuse sentences with transformers for summarization
L Lebanoff, F Dernoncourt, DS Kim, L Wang, W Chang, F Liu
arXiv preprint arXiv:2010.03726, 2020
192020
A cascade approach to neural abstractive summarization with content selection and fusion
L Lebanoff, F Dernoncourt, DS Kim, W Chang, F Liu
arXiv preprint arXiv:2010.03722, 2020
122020
Counting in dense crowds using deep learning
L Lebanoff, H Idrees
University of Central California: Upland, CA, USA, 2015
72015
Improving measurement and prediction in personnel selection through the application of machine learning
N Koenig, S Tonidandel, I Thompson, B Albritton, F Koohifar, G Yankov, ...
Personnel Psychology 76 (4), 1061-1123, 2023
62023
Modeling endorsement for multi-document abstractive summarization
L Lebanoff, B Wang, Z Feng, F Liu
arXiv preprint arXiv:2110.07844, 2021
32021
Semantic Parsing of Brief and Multi-Intent Natural Language Utterances
L Lebanoff, C Newton, V Hung, B Atkinson, J Killilea, F Liu
Proceedings of the Second Workshop on Domain Adaptation for NLP, 255-262, 2021
12021
A Comparison of Behavior Cloning Methods in Developing Interactive Opposing-Force Agents
L Lebanoff, N Paul, C Ballinger, P Sherry, G Carpenter, C Newton
The International FLAIRS Conference Proceedings 36, 2023
2023
Learning to fuse sentences with transformers for summarization
L Lebanoff, F Dernoncourt, DS Kim, L Wang, W Chang
US Patent 11,620,457, 2023
2023
Separating Content Selection from Surface Realization in Neural Text Summarization
L Lebanoff
Doctoral Dissertation, University of Central Florida, 2020
2020
LSTM to Transformer to Star-Transformer
L Lebanoff, C Chouhan, A Jha
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Articles 1–18