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06/26/2023
Anomaly Detection with Score Distribution Discrimination
Recent studies give more attention to the anomaly detection (AD) methods...
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01/10/2023
Practitioners' Expectations on Code Completion
Code completion has become a common practice for programmers during thei...
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11/18/2022
GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and Augmentation
We introduce GENIUS: a conditional text generation model using sketches ...
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09/23/2022
IDEA: Interactive DoublE Attentions from Label Embedding for Text Classification
Current text classification methods typically encode the text merely int...
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09/04/2022
Selective Text Augmentation with Word Roles for Low-Resource Text Classification
Data augmentation techniques are widely used in text classification task...
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11/09/2021
Neural News Recommendation with Event Extraction
A key challenge of online news recommendation is to help users find arti...
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11/09/2021
American Hate Crime Trends Prediction with Event Extraction
Social media platforms may provide potential space for discourses that c...
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09/01/2021
What Have Been Learned What Should Be Learned? An Empirical Study of How to Selectively Augment Text for Classification
Text augmentation techniques are widely used in text classification prob...
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12/09/2020
Label Confusion Learning to Enhance Text Classification Models
Representing a true label as a one-hot vector is a common practice in tr...
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10/19/2019