Papers
The Annotated Transformer
Alexander Rush
Integrating Multiple NLP Technologies into an Open-source Platform for Multilingual Media Monitoring
Ulrich Germann, Renārs Liepins, Didzis Gosko et al.
OpenSeq2Seq: Extensible Toolkit for Distributed and Mixed Precision Training of Sequence-to-Sequence Models
Oleksii Kuchaiev, Boris Ginsburg, Igor Gitman et al.
Baseline: A Library for Rapid Modeling, Experimentation and Development of Deep Learning Algorithms targeting NLP
Daniel Pressel, Sagnik Ray Choudhury, Brian Lester et al.
The risk of sub-optimal use of Open Source NLP Software: UKB is inadvertently state-of-the-art in knowledge-based WSD
Eneko Agirre, Oier López de Lacalle, Aitor Soroa
The ACL Anthology: Current State and Future Directions
Daniel Gildea, Min-Yen Kan, Nitin Madnani et al.
Texar: A Modularized, Versatile, and Extensible Toolbox for Text Generation
Zhiting Hu, Zichao Yang, Tiancheng Zhao et al.
Stop Word Lists in Free Open-source Software Packages
Joel Nothman, Hanmin Qin, Roman Yurchak
AllenNLP: A Deep Semantic Natural Language Processing Platform
Matt Gardner, Joel Grus, Mark Neumann et al.
Proceedings of Workshop for NLP Open Source Software (NLP-OSS)
Eunjeong L. Park, Masato Hagiwara, Dmitrijs Milajevs et al.
Marian: Cost-effective High-Quality Neural Machine Translation in C++
Marcin Junczys-Dowmunt, Kenneth Heafield, Hieu Hoang et al.
OpenNMT System Description for WNMT 2018: 800 words/sec on a single-core CPU
Jean Senellart, Dakun Zhang, Bo Wang et al.
Fast Neural Machine Translation Implementation
Hieu Hoang, Tomasz Dwojak, Rihards Krislauks et al.
NICT Self-Training Approach to Neural Machine Translation at NMT-2018
Kenji Imamura, Eiichiro Sumita
Towards one-shot learning for rare-word translation with external experts
Ngoc-Quan Pham, Jan Niehues, Alexander Waibel
Multi-Source Neural Machine Translation with Missing Data
Yuta Nishimura, Katsuhito Sudoh, Graham Neubig et al.
Bi-Directional Neural Machine Translation with Synthetic Parallel Data
Xing Niu, Michael Denkowski, Marine Carpuat
On the Impact of Various Types of Noise on Neural Machine Translation
Huda Khayrallah, Philipp Koehn
Document-Level Adaptation for Neural Machine Translation
Sachith Sri Ram Kothur, Rebecca Knowles, Philipp Koehn
Enhancement of Encoder and Attention Using Target Monolingual Corpora in Neural Machine Translation
Kenji Imamura, Atsushi Fujita, Eiichiro Sumita
Controllable Abstractive Summarization
Angela Fan, David Grangier, Michael Auli
Regularized Training Objective for Continued Training for Domain Adaptation in Neural Machine Translation
Huda Khayrallah, Brian Thompson, Kevin Duh et al.
Inducing Grammars with and for Neural Machine Translation
Yonatan Bisk, Ke Tran
Iterative Back-Translation for Neural Machine Translation
Vu Cong Duy Hoang, Philipp Koehn, Gholamreza Haffari et al.
A Shared Attention Mechanism for Interpretation of Neural Automatic Post-Editing Systems
Inigo Jauregi Unanue, Ehsan Zare Borzeshi, Massimo Piccardi