Papers
On the Realization of Compositionality in Neural Networks
Joris Baan, Jana Leible, Mitja Nikolaus et al.
Evaluating Recurrent Neural Network Explanations
Leila Arras, Ahmed Osman, Klaus-Robert Müller et al.
Faithful Multimodal Explanation for Visual Question Answering
Jialin Wu, Raymond Mooney
Character Eyes: Seeing Language through Character-Level Taggers
Yuval Pinter, Marc Marone, Jacob Eisenstein
Testing the Generalization Power of Neural Network Models across NLI Benchmarks
Aarne Talman, Stergios Chatzikyriakidis
Detecting Political Bias in News Articles Using Headline Attention
Rama Rohit Reddy Gangula, Suma Reddy Duggenpudi, Radhika Mamidi
Analyzing the Structure of Attention in a Transformer Language Model
Jesse Vig, Yonatan Belinkov
Do Human Rationales Improve Machine Explanations?
Julia Strout, Ye Zhang, Raymond Mooney
The Meaning of “Most” for Visual Question Answering Models
Alexander Kuhnle, Ann Copestake
Multi-Granular Text Encoding for Self-Explaining Categorization
Zhiguo Wang, Yue Zhang, Mo Yu et al.
Can Neural Networks Understand Monotonicity Reasoning?
Hitomi Yanaka, Koji Mineshima, Daisuke Bekki et al.
Second-order Co-occurrence Sensitivity of Skip-Gram with Negative Sampling
Dominik Schlechtweg, Cennet Oguz, Sabine Schulte im Walde
Sentiment Analysis Is Not Solved! Assessing and Probing Sentiment Classification
Jeremy Barnes, Lilja Øvrelid, Erik Velldal
Transcoding Compositionally: Using Attention to Find More Generalizable Solutions
Kris Korrel, Dieuwke Hupkes, Verna Dankers et al.
ARS_NITK at MEDIQA 2019:Analysing Various Methods for Natural Language Inference, Recognising Question Entailment and Medical Question Answering System
Anumeha Agrawal, Rosa Anil George, Selvan Suntiha Ravi et al.
NCUEE at MEDIQA 2019: Medical Text Inference Using Ensemble BERT-BiLSTM-Attention Model
Lung-Hao Lee, Yi Lu, Po-Han Chen et al.
LasigeBioTM at MEDIQA 2019: Biomedical Question Answering using Bidirectional Transformers and Named Entity Recognition
Andre Lamurias, Francisco M Couto
IITP at MEDIQA 2019: Systems Report for Natural Language Inference, Question Entailment and Question Answering
Dibyanayan Bandyopadhyay, Baban Gain, Tanik Saikh et al.
Saama Research at MEDIQA 2019: Pre-trained BioBERT with Attention Visualisation for Medical Natural Language Inference
Kamal raj Kanakarajan, Suriyadeepan Ramamoorthy, Vaidheeswaran Archana et al.
UW-BHI at MEDIQA 2019: An Analysis of Representation Methods for Medical Natural Language Inference
William Kearns, Wilson Lau, Jason Thomas
UU_TAILS at MEDIQA 2019: Learning Textual Entailment in the Medical Domain
Noha Tawfik, Marco Spruit
MSIT_SRIB at MEDIQA 2019: Knowledge Directed Multi-task Framework for Natural Language Inference in Clinical Domain.
Sahil Chopra, Ankita Gupta, Anupama Kaushik
ANU-CSIRO at MEDIQA 2019: Question Answering Using Deep Contextual Knowledge
Vincent Nguyen, Sarvnaz Karimi, Zhenchang Xing
IIT-KGP at MEDIQA 2019: Recognizing Question Entailment using Sci-BERT stacked with a Gradient Boosting Classifier
Prakhar Sharma, Sumegh Roychowdhury
Sieg at MEDIQA 2019: Multi-task Neural Ensemble for Biomedical Inference and Entailment
Sai Abishek Bhaskar, Rashi Rungta, James Route et al.