Eliot Brenner

Publication Activity (10 Years)

Years Active: 2013-2021
Publications (10 Years): 6

Top Topics

Document Summarization

Bayesian Network Structure

Scoring Function

Top Venues

Publications

Harsh Gupta, Luciano Del Corro, Samuel Broscheit, Johannes Hoffart, Eliot Brenner
Unsupervised Multi-View Post-OCR Error Correction With Language Models. EMNLP (1) (2021)
Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum
Long Document Summarization in a Low Resource Setting using Pretrained Language Models. CoRR (2021)
Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum
Long Document Summarization in a Low Resource Setting using Pretrained Language Models. ACL (student) (2021)
Eliot Brenner, Jun Zhao, Aliasgar Kutiyanawala, Zheng Yan
End-to-End Neural Ranking for eCommerce Product Search: an application of task models and textual embeddings. CoRR (2018)
Eliot Brenner, Jun Zhao, Aliasgar Kutiyanawala, Zheng Yan
End-to-End Neural Ranking for eCommerce Product Search: an Application of Task Models and Textual Embeddings. eCOM@SIGIR (2018)
Eliot Brenner, David A. Sontag
Incorporating Type II Error Probabilities from Independence Tests into Score-Based Learning of Bayesian Network Structure. CoRR (2015)
Eliot Brenner, David A. Sontag
SparsityBoost: A New Scoring Function for Learning Bayesian Network Structure. CoRR (2013)
Eliot Brenner, David A. Sontag
SparsityBoost: A New Scoring Function for Learning Bayesian Network Structure. UAI (2013)