Philip Resnik

◀ ▶ joint publications with Alexander Miserlis Hoyle

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Publications

2023
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Alexander Miserlis Hoyle, Rupak Sarkar, Pranav Goel, Philip Resnik:
Natural Language Decompositions of Implicit Content Enable Better Text Representations. EMNLP 2023: 13188-13214
[i21]
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  - journals/corr/abs-2305-14583
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Alexander Miserlis Hoyle, Rupak Sarkar, Pranav Goel, Philip Resnik:
Making the Implicit Explicit: Implicit Content as a First Class Citizen in NLP. CoRR abs/2305.14583 (2023)
2022
[c107]
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Alexander Miserlis Hoyle, Rupak Sarkar, Pranav Goel, Philip Resnik:
Are Neural Topic Models Broken? EMNLP (Findings) 2022: 5321-5344
[i17]
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  - journals/corr/abs-2210-16162
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Alexander Miserlis Hoyle, Pranav Goel, Rupak Sarkar, Philip Resnik:
Are Neural Topic Models Broken? CoRR abs/2210.16162 (2022)
2021
[c103]
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Alexander Miserlis Hoyle, Pranav Goel, Andrew Hian-Cheong, Denis Peskov, Jordan L. Boyd-Graber, Philip Resnik:
Is Automated Topic Model Evaluation Broken? The Incoherence of Coherence. NeurIPS 2021: 2018-2033
[i14]
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  - journals/corr/abs-2107-02173
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Alexander Miserlis Hoyle, Pranav Goel, Denis Peskov, Andrew Hian-Cheong, Jordan L. Boyd-Graber, Philip Resnik:
Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence. CoRR abs/2107.02173 (2021)
2020
[c100]
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Alexander Miserlis Hoyle, Pranav Goel, Philip Resnik:
Improving Neural Topic Models using Knowledge Distillation. EMNLP (1) 2020: 1752-1771
[i13]
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  - journals/corr/abs-2010-02377
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Alexander Miserlis Hoyle, Pranav Goel, Philip Resnik:
Improving Neural Topic Models using Knowledge Distillation. CoRR abs/2010.02377 (2020)

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