| Adapting the neural encoder-decoder framework from single to multi-document summarization L Lebanoff, K Song, F Liu arXiv preprint arXiv:1808.06218, 2018 | 195 | 2018 |
| Abstract meaning representation for multi-document summarization K Liao, L Lebanoff, F Liu arXiv preprint arXiv:1806.05655, 2018 | 138 | 2018 |
| 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 | 130 | 2019 |
| 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 | 62 | 2019 |
| 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 | 51 | 2019 |
| Automatic detection of vague words and sentences in privacy policies L Lebanoff, F Liu arXiv preprint arXiv:1808.06219, 2018 | 49 | 2018 |
| 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 | 26 | 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 | 26 | 2020 |
| 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 | 21 | 2020 |
| 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 | 16 | 2023 |
| 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 | 14 | 2020 |
| Counting in dense crowds using deep learning L Lebanoff, H Idrees University of Central California: Upland, CA, USA, 2015 | 7 | 2015 |
| Learning to fuse sentences with transformers for summarization L Lebanoff, F Dernoncourt, DS Kim, L Wang, W Chang US Patent 11,620,457, 2023 | 4 | 2023 |
| Modeling endorsement for multi-document abstractive summarization L Lebanoff, B Wang, Z Feng, F Liu arXiv preprint arXiv:2110.07844, 2021 | 4 | 2021 |
| 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 | 1 | 2023 |
| 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 | 1 | 2021 |
| An Interactive Virtual Assistant for Flexible Just-in-Time Training G Taylor, J Craighead, K Menefee, L Lebanoff, C Ballinger, S Mcgee Human Factors in Design, Engineering, and Computing 159 (159), 2024 | | 2024 |
| 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 | | |
Fei LiuEmory UniversityEmail confirmado em emory.edu