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08/06/2021
Lights, Camera, Action! A Framework to Improve NLP Accuracy over OCR documents
Document digitization is essential for the digital transformation of our...
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08/21/2019
Revealing the Dark Secrets of BERT
BERT-based architectures currently give state-of-the-art performance on ...
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04/10/2019
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes
There is a growing body of work that proposes methods for mitigating bia...
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01/27/2019
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
We present a large-scale study of gender bias in occupation classificati...
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08/27/2018
Adversarial Decomposition of Text Representation
In this paper, we present a method for adversarial decomposition of text...
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08/21/2018
Lessons from Natural Language Inference in the Clinical Domain
State of the art models using deep neural networks have become very good...
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05/01/2017
Forced to Learn: Discovering Disentangled Representations Without Exhaustive Labels
Learning a better representation with neural networks is a challenging p...
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03/17/2017
Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture
In this paper, we propose to use a set of simple, uniform in architectur...
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12/28/2016
Here's My Point: Joint Pointer Architecture for Argument Mining
One of the major goals in automated argumentation mining is to uncover t...
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12/09/2016
#HashtagWars: Learning a Sense of Humor
In this work, we present a new dataset for computational humor, specific...
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12/09/2016