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10/22/2021
Text Counterfactuals via Latent Optimization and Shapley-Guided Search
We study the problem of generating counterfactual text for a classifier ...
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01/19/2021
The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions
Recently, there has been a significant interest in performing convolutio...
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05/28/2020
Relation Extraction with Explanation
Recent neural models for relation extraction with distant supervision al...
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08/14/2019
Entity-aware ELMo: Learning Contextual Entity Representation for Entity Disambiguation
We present a new local entity disambiguation system. The key to our syst...
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02/22/2019
Saliency Learning: Teaching the Model Where to Pay Attention
Deep learning has emerged as a compelling solution to many NLP tasks wit...
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09/09/2018
Attentional Multi-Reading Sarcasm Detection
Recognizing sarcasm often requires a deep understanding of multiple sour...
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08/12/2018
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference
Deep learning models have achieved remarkable success in natural languag...
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06/19/2018
Joint Neural Entity Disambiguation with Output Space Search
In this paper, we present a novel model for entity disambiguation that c...
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05/26/2018
Dependent Gated Reading for Cloze-Style Question Answering
We present a novel deep learning architecture to address the cloze-style...
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02/15/2018
Event Nugget Detection with Forward-Backward Recurrent Neural Networks
Traditional event detection methods heavily rely on manually engineered ...
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02/15/2018
DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference
We present a novel deep learning architecture to address the natural lan...
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02/05/2018
Weakly-supervised Dictionary Learning
We present a probabilistic modeling and inference framework for discrimi...
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03/07/2016
Confidence-Constrained Maximum Entropy Framework for Learning from Multi-Instance Data
Multi-instance data, in which each object (bag) contains a collection of...
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11/14/2014
Dynamic Programming for Instance Annotation in Multi-instance Multi-label Learning
Labeling data for classification requires significant human effort. To r...
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04/22/2013
