Interrogating the Explanatory Power of Attention in Neural Machine Translation

30 September 2019

Papers citing "Interrogating the Explanatory Power of Attention in Neural Machine Translation"

8 / 8 papers shown

Title
Should We Attend More or Less? Modulating Attention for Fairness A. Zayed Gonçalo Mordido Samira Shabanian Sarath Chandar 37 10 0 22 May 2023
Wait-info Policy: Balancing Source and Target at Information Level for Simultaneous Machine Translation Shaolei Zhang Shoutao Guo Yang Feng 13 23 0 20 Oct 2022
CipherDAug: Ciphertext based Data Augmentation for Neural Machine Translation Nishant Kambhatla Logan Born Anoop Sarkar 18 16 0 01 Apr 2022
Automated and Explainable Ontology Extension Based on Deep Learning: A Case Study in the Chemical Domain A. Memariani Martin Glauer Fabian Neuhaus Till Mossakowski Janna Hastings 28 5 0 19 Sep 2021
BERTology Meets Biology: Interpreting Attention in Protein Language Models Jesse Vig Ali Madani L. Varshney Caiming Xiong R. Socher Nazneen Rajani 29 288 0 26 Jun 2020
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 224 1,208 0 12 Jun 2017
OpenNMT: Open-Source Toolkit for Neural Machine Translation Guillaume Klein Yoon Kim Yuntian Deng Jean Senellart Alexander M. Rush 259 1,896 0 10 Jan 2017
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,926 0 17 Aug 2015