Papers
Can LSTM Learn to Capture Agreement? The Case of Basque
Shauli Ravfogel, Yoav Goldberg, Francis Tyers
Rule induction for global explanation of trained models
Madhumita Sushil, Simon Šuster, Walter Daelemans
Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models
Shun Kiyono, Sho Takase, Jun Suzuki et al.
Linguistic representations in multi-task neural networks for ellipsis resolution
Ola Rønning, Daniel Hardt, Anders Søgaard
Understanding Convolutional Neural Networks for Text Classification
Alon Jacovi, Oren Sar Shalom, Yoav Goldberg
Jump to better conclusions: SCAN both left and right
Jasmijn Bastings, Marco Baroni, Jason Weston et al.
On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis
Jose Camacho-Collados, Mohammad Taher Pilehvar
Evaluating Textual Representations through Image Generation
Graham Spinks, Marie-Francine Moens
Nightmare at test time: How punctuation prevents parsers from generalizing
Anders Søgaard, Miryam de Lhoneux, Isabelle Augenstein
Explaining non-linear Classifier Decisions within Kernel-based Deep Architectures
Danilo Croce, Daniele Rossini, Roberto Basili
Analyzing Learned Representations of a Deep ASR Performance Prediction Model
Zied Elloumi, Laurent Besacier, Olivier Galibert et al.
When does deep multi-task learning work for loosely related document classification tasks?
Emma Kerinec, Chloé Braud, Anders Søgaard
Universal Sentence Encoder for English
Daniel Cer, Yinfei Yang, Sheng-yi Kong et al.
When science journalism meets artificial intelligence : An interactive demonstration
Raghuram Vadapalli, Bakhtiyar Syed, Nishant Prabhu et al.
Developing Production-Level Conversational Interfaces with Shallow Semantic Parsing
Arushi Raghuvanshi, Lucien Carroll, Karthik Raghunathan
PizzaPal: Conversational Pizza Ordering using a High-Density Conversational AI Platform
Antoine Raux, Yi Ma, Paul Yang et al.
LIA: A Natural Language Programmable Personal Assistant
Igor Labutov, Shashank Srivastava, Tom Mitchell
OpenKE: An Open Toolkit for Knowledge Embedding
Xu Han, Shulin Cao, Xin Lv et al.
CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++
Xiaolin Wang, Masao Utiyama, Eiichiro Sumita
Integrating Knowledge-Supported Search into the INCEpTION Annotation Platform
Beto Boullosa, Richard Eckart de Castilho, Naveen Kumar et al.
Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package
Ajay Patel, Alexander Sands, Chris Callison-Burch et al.
Interactive Instance-based Evaluation of Knowledge Base Question Answering
Daniil Sorokin, Iryna Gurevych
APLenty: annotation tool for creating high-quality datasets using active and proactive learning
Minh-Quoc Nghiem, Sophia Ananiadou
An Interface for Annotating Science Questions
Michael Boratko, Harshit Padigela, Divyendra Mikkilineni et al.
Visualizing Group Dynamics based on Multiparty Meeting Understanding
Ni Zhang, Tongtao Zhang, Indrani Bhattacharya et al.