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11/01/2022
Anytime Generation of Counterfactual Explanations for Text Classification
In many machine learning applications, it is important for the user to u...
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08/22/2022
Interpreting Embedding Spaces by Conceptualization
One of the main methods for semantic interpretation of text is mapping i...
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06/06/2020
Knowledge-Based Learning through Feature Generation
Machine learning algorithms have difficulties to generalize over a small...
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05/03/2020
A Two-Stage Masked LM Method for Term Set Expansion
We tackle the task of Term Set Expansion (TSE): given a small seed set o...
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05/11/2018
Textual Membership Queries
Human labeling of textual data can be very time-consuming and expensive,...
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02/12/2018
Automatic Generation of Language-Independent Features for Cross-Lingual Classification
Many applications require categorization of text documents using predefi...
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01/31/2018
Recursive Feature Generation for Knowledge-based Learning
When humans perform inductive learning, they often enhance the process w...
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06/28/2017
Named Entity Disambiguation for Noisy Text
We address the task of Named Entity Disambiguation (NED) for noisy text....
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02/04/2014
Learning to Predict from Textual Data
Given a current news event, we tackle the problem of generating plausibl...
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01/23/2014
