Papers
Interpretable Neural Architectures for Attributing an Ad’s Performance to its Writing Style
Reid Pryzant, Sugato Basu, Kazoo Sone
Interpretable Structure Induction via Sparse Attention
Ben Peters, Vlad Niculae, André F. T. Martins
Interpretable Textual Neuron Representations for NLP
Nina Poerner, Benjamin Roth, Hinrich Schütze
Interpretable Word Embedding Contextualization
Kyoung-Rok Jang, Sung-Hyon Myaeng, Sang-Bum Kim
Interpretation of Natural Language Rules in Conversational Machine Reading
Marzieh Saeidi, Max Bartolo, Patrick Lewis et al.
Interpreting Neural Networks with Nearest Neighbors
Eric Wallace, Shi Feng, Jordan Boyd-Graber
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference
Reza Ghaeini, Xiaoli Fern, Prasad Tadepalli
Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models
Avery Hiebert, Cole Peterson, Alona Fyshe et al.
Introspection for convolutional automatic speech recognition
Andreas Krug, Sebastian Stober
Investigating Capsule Networks with Dynamic Routing for Text Classification
Wei Zhao, Jianbo Ye, Min Yang et al.
Investigating the Challenges of Temporal Relation Extraction from Clinical Text
Diana Galvan, Naoaki Okazaki, Koji Matsuda et al.
Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models
Anne Lauscher, Goran Glavaš, Simone Paolo Ponzetto et al.
IRISA at SMM4H 2018: Neural Network and Bagging for Tweet Classification
Anne-Lyse Minard, Christian Raymond, Vincent Claveau
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks
Steffen Eger, Paul Youssef, Iryna Gurevych
Is Nike female? Exploring the role of sound symbolism in predicting brand name gender
Sridhar Moorthy, Ruth Pogacar, Samin Khan et al.
Is this Sentence Difficult? Do you Agree?
Dominique Brunato, Lorenzo De Mattei, Felice Dell’Orletta et al.
Iterative development of family history annotation guidelines using a synthetic corpus of clinical text
Taraka Rama, Pål Brekke, Øystein Nytrø et al.
Iterative Document Representation Learning Towards Summarization with Polishing
Xiuying Chen, Shen Gao, Chongyang Tao et al.
Iterative Recursive Attention Model for Interpretable Sequence Classification
Martin Tutek, Jan Šnajder
ITER: Improving Translation Edit Rate through Optimizable Edit Costs
Joybrata Panja, Sudip Kumar Naskar
It’s going to be okay: Measuring Access to Support in Online Communities
Zijian Wang, David Jurgens
Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks
Martin Schmitt, Simon Steinheber, Konrad Schreiber et al.
Joint Learning for Emotion Classification and Emotion Cause Detection
Ying Chen, Wenjun Hou, Xiyao Cheng et al.