Papers
Self-Supervised Neural Machine Translation
Dana Ruiter, Cristina España-Bonet, Josef van Genabith
Generating Diverse Translations with Sentence Codes
Raphael Shu, Hideki Nakayama, Kyunghyun Cho
Learning Deep Transformer Models for Machine Translation
Qiang Wang, Bei Li, Tong Xiao et al.
Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation
Bram Bulte, Arda Tezcan
Neural Machine Translation with Reordering Embeddings
Kehai Chen, Rui Wang, Masao Utiyama et al.
Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling
Nasser Zalmout, Nizar Habash
Learning Morphosyntactic Analyzers from the Bible via Iterative Annotation Projection across 26 Languages
Garrett Nicolai, David Yarowsky
Meaning to Form: Measuring Systematicity as Information
Tiago Pimentel, Arya D. McCarthy, Damian Blasi et al.
Multilingual Factor Analysis
Francisco Vargas, Kamen Brestnichki, Alex Papadopoulos Korfiatis et al.
SphereRE: Distinguishing Lexical Relations with Hyperspherical Relation Embeddings
Chengyu Wang, Xiaofeng He, Aoying Zhou
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings
Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti
Unsupervised Discovery of Gendered Language through Latent-Variable Modeling
Alexander Hoyle, Lawrence Wolf-Sonkin, Hanna Wallach et al.
Understanding Undesirable Word Embedding Associations
Kawin Ethayarajh, David Duvenaud, Graeme Hirst
LSTMEmbed: Learning Word and Sense Representations from a Large Semantically Annotated Corpus with Long Short-Term Memories
Ignacio Iacobacci, Roberto Navigli
Evaluating Gender Bias in Machine Translation
Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer
The Risk of Racial Bias in Hate Speech Detection
Maarten Sap, Dallas Card, Saadia Gabriel et al.
A Transparent Framework for Evaluating Unintended Demographic Bias in Word Embeddings
Chris Sweeney, Maryam Najafian
Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology
Ran Zmigrod, Sabrina J. Mielke, Hanna Wallach et al.
Gender-preserving Debiasing for Pre-trained Word Embeddings
Masahiro Kaneko, Danushka Bollegala
Mitigating Gender Bias in Natural Language Processing: Literature Review
Tony Sun, Andrew Gaut, Shirlyn Tang et al.
Stochastic Tokenization with a Language Model for Neural Text Classification
Tatsuya Hiraoka, Hiroyuki Shindo, Yuji Matsumoto
Historical Text Normalization with Delayed Rewards
Simon Flachs, Marcel Bollmann, Anders Søgaard
Better Character Language Modeling through Morphology
Terra Blevins, Luke Zettlemoyer
Using LSTMs to Assess the Obligatoriness of Phonological Distinctive Features for Phonotactic Learning
Nicole Mirea, Klinton Bicknell
Open Vocabulary Learning for Neural Chinese Pinyin IME
Zhuosheng Zhang, Yafang Huang, Hai Zhao