Papers
World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External Descriptions
Teng Long, Emmanuel Bengio, Ryan Lowe et al.
Structural Embedding of Syntactic Trees for Machine Comprehension
Rui Liu, Junjie Hu, Wei Wei et al.
Learning Fine-Grained Expressions to Solve Math Word Problems
Danqing Huang, Shuming Shi, Chin-Yew Lin et al.
Beyond Sentential Semantic Parsing: Tackling the Math SAT with a Cascade of Tree Transducers
Mark Hopkins, Cristian Petrescu-Prahova, Roie Levin et al.
RACE: Large-scale ReAding Comprehension Dataset From Examinations
Guokun Lai, Qizhe Xie, Hanxiao Liu et al.
From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems
Mrinmaya Sachan, Kumar Dubey, Eric Xing
Segmentation-Free Word Embedding for Unsegmented Languages
Takamasa Oshikiri
Word-Context Character Embeddings for Chinese Word Segmentation
Hao Zhou, Zhenting Yu, Yue Zhang et al.
Cross-lingual Character-Level Neural Morphological Tagging
Ryan Cotterell, Georg Heigold
The Labeled Segmentation of Printed Books
Lara McConnaughey, Jennifer Dai, David Bamman
Do LSTMs really work so well for PoS tagging? – A replication study
Tobias Horsmann, Torsten Zesch
Paradigm Completion for Derivational Morphology
Ryan Cotterell, Ekaterina Vylomova, Huda Khayrallah et al.
Don’t Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic
Nasser Zalmout, Nizar Habash
Multi-Grained Chinese Word Segmentation
Chen Gong, Zhenghua Li, Min Zhang et al.
Determining Semantic Textual Similarity using Natural Deduction Proofs
Hitomi Yanaka, Koji Mineshima, Pascual Martínez-Gómez et al.
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Alexis Conneau, Douwe Kiela, Holger Schwenk et al.
SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations
Dheeraj Mekala, Vivek Gupta, Bhargavi Paranjape et al.
Measuring Thematic Fit with Distributional Feature Overlap
Enrico Santus, Emmanuele Chersoni, Alessandro Lenci et al.
Filling the Blanks (hint: plural noun) for Mad Libs Humor
Nabil Hossain, John Krumm, Lucy Vanderwende et al.
A Hybrid Convolutional Variational Autoencoder for Text Generation
Stanislau Semeniuta, Aliaksei Severyn, Erhardt Barth
Neural Response Generation via GAN with an Approximate Embedding Layer
Zhen Xu, Bingquan Liu, Baoxun Wang et al.
Split and Rephrase
Shashi Narayan, Claire Gardent, Shay B. Cohen et al.
Learning how to Active Learn: A Deep Reinforcement Learning Approach
Meng Fang, Yuan Li, Trevor Cohn
Sentence Simplification with Deep Reinforcement Learning
Xingxing Zhang, Mirella Lapata