research
∙
06/26/2023
Anomaly Detection with Score Distribution Discrimination
Recent studies give more attention to the anomaly detection (AD) methods...
share
research
∙
01/10/2023
Practitioners' Expectations on Code Completion
Code completion has become a common practice for programmers during thei...
research
∙
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 ...
research
∙
09/23/2022
IDEA: Interactive DoublE Attentions from Label Embedding for Text Classification
Current text classification methods typically encode the text merely int...
research
∙
09/04/2022
Selective Text Augmentation with Word Roles for Low-Resource Text Classification
Data augmentation techniques are widely used in text classification task...
research
∙
11/09/2021
Neural News Recommendation with Event Extraction
A key challenge of online news recommendation is to help users find arti...
research
∙
11/09/2021
American Hate Crime Trends Prediction with Event Extraction
Social media platforms may provide potential space for discourses that c...
research
∙
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...
research
∙
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...
research
∙
10/19/2019
