Papers
Word Embeddings-Based Uncertainty Detection in Financial Disclosures
Christoph Kilian Theil, Sanja Štajner, Heiner Stuckenschmidt
A Corpus of Corporate Annual and Social Responsibility Reports: 280 Million Tokens of Balanced Organizational Writing
Sebastian G.M. Händschke, Sven Buechel, Jan Goldenstein et al.
Causality Analysis of Twitter Sentiments and Stock Market Returns
Narges Tabari, Piyusha Biswas, Bhanu Praneeth et al.
Economic Event Detection in Company-Specific News Text
Gilles Jacobs, Els Lefever, Véronique Hoste
Proceedings of the First Workshop on Economics and Natural Language Processing
Udo Hahn, Véronique Hoste, Ming-Feng Tsai
Syntactic Dependency Representations in Neural Relation Classification
Farhad Nooralahzadeh, Lilja Øvrelid
A neural parser as a direct classifier for head-final languages
Hiroshi Kanayama, Masayasu Muraoka, Ryosuke Kohita
Subcharacter Information in Japanese Embeddings: When Is It Worth It?
Marzena Karpinska, Bofang Li, Anna Rogers et al.
Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL?
Emma Strubell, Andrew McCallum
Latent Tree Learning with Differentiable Parsers: Shift-Reduce Parsing and Chart Parsing
Jean Maillard, Stephen Clark
Unsupervised Source Hierarchies for Low-Resource Neural Machine Translation
Anna Currey, Kenneth Heafield
Compositional Morpheme Embeddings with Affixes as Functions and Stems as Arguments
Daniel Edmiston, Karl Stratos
Proceedings of the Workshop on the Relevance of Linguistic Structure in Neural Architectures for NLP
Georgiana Dinu, Miguel Ballesteros, Avirup Sil et al.
Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task
An Yang, Kai Liu, Jing Liu et al.
Comparative Analysis of Neural QA models on SQuAD
Soumya Wadhwa, Khyathi Chandu, Eric Nyberg
Neural Models for Key Phrase Extraction and Question Generation
Sandeep Subramanian, Tong Wang, Xingdi Yuan et al.
RECIPE: Applying Open Domain Question Answering to Privacy Policies
Yan Shvartzshanider, Ananth Balashankar, Thomas Wies et al.
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset
Michael Boratko, Harshit Padigela, Divyendra Mikkilineni et al.
Robust and Scalable Differentiable Neural Computer for Question Answering
Jörg Franke, Jan Niehues, Alex Waibel
DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications
Wei He, Kai Liu, Jing Liu et al.
Tackling Adversarial Examples in QA via Answer Sentence Selection
Yuanhang Ren, Ye Du, Di Wang
A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension
Seunghak Yu, Sathish Reddy Indurthi, Seohyun Back et al.
Systematic Error Analysis of the Stanford Question Answering Dataset
Marc-Antoine Rondeau, T. J. Hazen
Ruminating Reader: Reasoning with Gated Multi-hop Attention
Yichen Gong, Samuel Bowman
Proceedings of the Workshop on Machine Reading for Question Answering
Eunsol Choi, Minjoon Seo, Danqi Chen et al.