The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models

3 May 2018

Papers citing "The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models"

6 / 6 papers shown

Title
State-of-the-art generalisation research in NLP: A taxonomy and review Dieuwke Hupkes Mario Giulianelli Verna Dankers Mikel Artetxe Yanai Elazar ... Leila Khalatbari Maria Ryskina Rita Frieske Ryan Cotterell Zhijing Jin 114 93 0 06 Oct 2022
Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological Segmentation Zoey Liu Emily Tucker Prudhommeaux 32 4 0 05 Jan 2022
How Do Neural Sequence Models Generalize? Local and Global Context Cues for Out-of-Distribution Prediction Anthony Bau Jacob Andreas 12 3 0 04 Nov 2021
Capacity, Bandwidth, and Compositionality in Emergent Language Learning Cinjon Resnick Abhinav Gupta Jakob N. Foerster Andrew M. Dai Kyunghyun Cho 18 51 0 24 Oct 2019
Neural versus Phrase-Based Machine Translation Quality: a Case Study L. Bentivogli Arianna Bisazza Mauro Cettolo Marcello Federico 191 328 0 16 Aug 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,923 0 17 Aug 2015