
-
Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task
The quality of machine translation systems has dramatically improved ove...
read it
-
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models
We present the Language Interpretability Tool (LIT), an open-source plat...
read it
-
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics
De novo therapeutic design is challenged by a vast chemical repertoire a...
read it
-
ToTTo: A Controlled Table-To-Text Generation Dataset
We present ToTTo, an open-domain English table-to-text dataset with over...
read it
-
Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias
Common methods for interpreting neural models in natural language proces...
read it
-
A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients
A crucial step within secondary analysis of electronic health records (E...
read it
-
Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages
We introduce three memory-augmented Recurrent Neural Networks (MARNNs) a...
read it
-
exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models
Large language models can produce powerful contextual representations th...
read it
-
Encoder-Agnostic Adaptation for Conditional Language Generation
Large pretrained language models have changed the way researchers approa...
read it
-
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference
Automation of tasks can have critical consequences when humans lose agen...
read it
-
Evaluating an Automated Mediator for Joint Narratives in a Conflict Situation
Joint narratives are often used in the context of reconciliation interve...
read it
-
GLTR: Statistical Detection and Visualization of Generated Text
The rapid improvement of language models has raised the specter of abuse...
read it
-
LSTM Networks Can Perform Dynamic Counting
In this paper, we systematically assess the ability of standard recurren...
read it
-
Improving Human Text Comprehension through Semi-Markov CRF-based Neural Section Title Generation
Titles of short sections within long documents support readers by guidin...
read it
-
End-to-End Content and Plan Selection for Data-to-Text Generation
Learning to generate fluent natural language from structured data with n...
read it
-
Very Highly Skilled Individuals Do Not Choke Under Pressure: Evidence from Professional Darts
Understanding and predicting how individuals perform in high-pressure si...
read it
-
Bottom-Up Abstractive Summarization
Neural network-based methods for abstractive summarization produce outpu...
read it
-
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
Neural Sequence-to-Sequence models have proven to be accurate and robust...
read it
-
Comparing Rule-Based and Deep Learning Models for Patient Phenotyping
Objective: We investigate whether deep learning techniques for natural l...
read it
-
LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks
Recurrent neural networks, and in particular long short-term memory (LST...
read it