An Interpretable Deep Learning System for Automatically Scoring Request for Proposals

5 August 2020

Papers citing "An Interpretable Deep Learning System for Automatically Scoring Request for Proposals"

8 / 8 papers shown

Title
Get It Scored Using AutoSAS -- An Automated System for Scoring Short Answers Yaman Kumar Singla Swati Aggarwal Debanjan Mahata R. Shah Ponnurangam Kumaraguru Roger Zimmermann 79 57 0 21 Dec 2020
Exclusion and Inclusion -- A model agnostic approach to feature importance in DNNs S. Maji Arijit Ghosh Chowdhury Raghav Bali Vamsi M Bhandaru 21 2 0 13 Jul 2020
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,175 0 11 Oct 2018
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,002 0 22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,027 0 16 Feb 2016
word2vec Parameter Learning Explained Xin Rong VLM SSL 84 828 0 11 Nov 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 575 27,325 0 01 Sep 2014
Distributed Representations of Sentences and Documents Quoc V. Le Tomas Mikolov FaML 259 9,247 0 16 May 2014