Search Results - Lebanoff, Logan

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  1. 1
    Improving measurement and prediction in personnel selection through the application of machine learning

    Improving measurement and prediction in personnel selection through the application of machine learning by Koenig, Nick, Tonidandel, Scott, Thompson, Isaac, Albritton, Betsy, Koohifar, Farshad, Yankov, Georgi, Speer, Andrew, Hardy, Jay H., Gibson, Carter, Frost, Chris, Liu, Mengqiao, McNeney, Denver, Capman, John, Lowery, Shane, Kitching, Matthew, Nimbkar, Anjali, Boyce, Anthony, Sun, Tianjun, Guo, Feng, Min, Hanyi, Zhang, Bo, Lebanoff, Logan, Phillips, Henry, Newton, Charles

    Published in Personnel psychology
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  2. 2
    Joint Parsing and Generation for Abstractive Summarization

    Joint Parsing and Generation for Abstractive Summarization by Song, Kaiqiang, Lebanoff, Logan, Guo, Qipeng, Qiu, Xipeng, Xue, Xiangyang, Li, Chen, Yu, Dong, Liu, Fei

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  3. 3
    Automatic Detection of Vague Words and Sentences in Privacy Policies

    Automatic Detection of Vague Words and Sentences in Privacy Policies by Logan Lebanoff, Liu, Fei

    Published in arXiv.org
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  4. 4
    Modeling Endorsement for Multi-Document Abstractive Summarization

    Modeling Endorsement for Multi-Document Abstractive Summarization by Logan Lebanoff, Wang, Bingqing, Feng, Zhe, Liu, Fei

    Published in arXiv.org
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  5. 5
    Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization

    Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization by Logan Lebanoff, Song, Kaiqiang, Liu, Fei

    Published in arXiv.org
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  6. 6
    Abstract Meaning Representation for Multi-Document Summarization

    Abstract Meaning Representation for Multi-Document Summarization by Liao, Kexin, Logan Lebanoff, Liu, Fei

    Published in arXiv.org
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  7. 7
    Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization

    Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization by Cho, Sangwoo, Logan Lebanoff, oosh, Hassan, Liu, Fei

    Published in arXiv.org
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  8. 8
    Learning to Fuse Sentences with Transformers for Summarization

    Learning to Fuse Sentences with Transformers for Summarization by Logan Lebanoff, Dernoncourt, Franck, Kim, Doo Soon, Wang, Lidan, Chang, Walter, Liu, Fei

    Published in arXiv.org
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  9. 9
    A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion

    A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion by Logan Lebanoff, Dernoncourt, Franck, Kim, Doo Soon, Chang, Walter, Liu, Fei

    Published in arXiv.org
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  10. 10
    Understanding Points of Correspondence between Sentences for Abstractive Summarization

    Understanding Points of Correspondence between Sentences for Abstractive Summarization by Logan Lebanoff, Muchovej, John, Dernoncourt, Franck, Kim, Doo Soon, Wang, Lidan, Chang, Walter, Liu, Fei

    Published in arXiv.org
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  11. 11
    Joint Parsing and Generation for Abstractive Summarization

    Joint Parsing and Generation for Abstractive Summarization by Song, Kaiqiang, Logan Lebanoff, Guo, Qipeng, Qiu, Xipeng, Xue, Xiangyang, Chen, Li, Yu, Dong, Liu, Fei

    Published in arXiv.org
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  12. 12
    Analyzing Sentence Fusion in Abstractive Summarization

    Analyzing Sentence Fusion in Abstractive Summarization by Logan Lebanoff, Muchovej, John, Dernoncourt, Franck, Kim, Doo Soon, Kim, Seokhwan, Chang, Walter, Liu, Fei

    Published in arXiv.org
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  13. 13
    Scoring Sentence Singletons and Pairs for Abstractive Summarization

    Scoring Sentence Singletons and Pairs for Abstractive Summarization by Logan Lebanoff, Song, Kaiqiang, Dernoncourt, Franck, Kim, Doo Soon, Kim, Seokhwan, Chang, Walter, Liu, Fei

    Published in arXiv.org
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