• Data selection and semi-supervised slot tagging for artificial intelligent agents. (Minmin Shen, James Zhu, Suranjit Adhikari and Angeliki Metallinou)

  • SPARSE: Structured Prediction using Argument-Relative Structured Encoding. (Rishi Bommasani, Arzoo Katiyar and Claire Cardie)

  • Parallelizable Stack Long Short-Term Memory. (Shuoyang Ding and Philipp Koehn)

  • Lightly-supervised Representation Learning with Global Interpretability. (Andrew Zupon, Maria Alexeeva, Marco Valenzuela-Escárcega, Ajay Nagesh and Mihai Surdeanu)

  • Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing Tasks. (Mihir Kale, Aditya Siddhant, Sreyashi Nag, Radhika Parik, Anthony Tomasic and Matthais Grabmair)

  • Tracking Discrete and Continuous Entity State for Process Understanding. (Aditya Gupta and Greg Durrett)

  • Semi-Supervised Teacher-Student Architecture for Relation Extraction. (Fan Luo, Ajay Nagesh, Rebecca Sharp and Mihai Surdeanu)

  • Subword Language Model for Query Auto-Completion (Gyuwan Kim)