Logan Lebanoff
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Adapting the neural encoder-decoder framework from single to multi-document summarization
L Lebanoff, K Song, F Liu
arXiv preprint arXiv:1808.06218, 2018
582018
Abstract meaning representation for multi-document summarization
K Liao, L Lebanoff, F Liu
arXiv preprint arXiv:1806.05655, 2018
282018
Scoring sentence singletons and pairs for abstractive summarization
L Lebanoff, K Song, F Dernoncourt, DS Kim, S Kim, W Chang, F Liu
arXiv preprint arXiv:1906.00077, 2019
252019
Automatic detection of vague words and sentences in privacy policies
L Lebanoff, F Liu
arXiv preprint arXiv:1808.06219, 2018
142018
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
122019
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
112019
Counting in dense crowds using deep learning
L Lebanoff, H Idrees
University of Central California, 2015
52015
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
32020
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
12020
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
2020
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
2020
LSTM to Transformer to Star-Transformer
L Lebanoff, C Chouhan, A Jha
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Artículos 1–12