Papers
Enabling Real-time Neural IME with Incremental Vocabulary Selection
Jiali Yao, Raphael Shu, Xinjian Li et al.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Industry Papers)
Anastassia Loukina, Michelle Morales, Rohit Kumar
What’s in a Name? Reducing Bias in Bios without Access to Protected Attributes
Alexey Romanov, Maria De-Arteaga, Hanna Wallach et al.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee et al.
Probing the Need for Visual Context in Multimodal Machine Translation
Ozan Caglayan, Pranava Madhyastha, Lucia Specia et al.
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
Alon Talmor, Jonathan Herzig, Nicholas Lourie et al.
CNM: An Interpretable Complex-valued Network for Matching
Qiuchi Li, Benyou Wang, Massimo Melucci
A Structural Probe for Finding Syntax in Word Representations
John Hewitt, Christopher D. Manning
Data Augmentation for Context-Sensitive Neural Lemmatization Using Inflection Tables and Raw Text
Toms Bergmanis, Sharon Goldwater
Show Some Love to Your n-grams: A Bit of Progress and Stronger n-gram Language Modeling Baselines
Ehsan Shareghi, Daniela Gerz, Ivan Vulić et al.
Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging
Sara Meftah, Youssef Tamaazousti, Nasredine Semmar et al.
On the Idiosyncrasies of the Mandarin Chinese Classifier System
Shijia Liu, Hongyuan Mei, Adina Williams et al.
Augmenting word2vec with latent Dirichlet allocation within a clinical application
Akshay Budhkar, Frank Rudzicz
Benchmarking Hierarchical Script Knowledge
Yonatan Bisk, Jan Buys, Karl Pichotta et al.
Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation
Hareesh Bahuleyan, Lili Mou, Hao Zhou et al.
Pragmatically Informative Text Generation
Sheng Shen, Daniel Fried, Jacob Andreas et al.
Pre-trained language model representations for language generation
Sergey Edunov, Alexei Baevski, Michael Auli
Rethinking Complex Neural Network Architectures for Document Classification
Ashutosh Adhikari, Achyudh Ram, Raphael Tang et al.
Convolutional Self-Attention Networks
Baosong Yang, Longyue Wang, Derek F. Wong et al.
Neural Grammatical Error Correction with Finite State Transducers
Felix Stahlberg, Christopher Bryant, Bill Byrne
Understanding Dataset Design Choices for Multi-hop Reasoning
Jifan Chen, Greg Durrett
Saliency Learning: Teaching the Model Where to Pay Attention
Reza Ghaeini, Xiaoli Fern, Hamed Shahbazi et al.
Using Natural Language Relations between Answer Choices for Machine Comprehension
Rajkumar Pujari, Dan Goldwasser
The Lower The Simpler: Simplifying Hierarchical Recurrent Models
Chao Wang, Hui Jiang