An Empirical Study on Learning and Improving the Search Objective for
Unsupervised Paraphrasing

An Empirical Study on Learning and Improving the Search Objective for Unsupervised Paraphrasing

23 March 2022

Weikai Steven Lu

Papers citing "An Empirical Study on Learning and Improving the Search Objective for Unsupervised Paraphrasing"

4 / 4 papers shown

Title
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction Raphael Schumann Lili Mou Yao Lu Olga Vechtomova K. Markert 183 41 0 04 May 2020
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,740 0 26 Sep 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 214 7,923 0 17 Aug 2015
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 31,244 0 16 Jan 2013