3 papers
cs.LG2022
XPASC: Measuring Generalization in Weak Supervision by Explainability and Association
Luisa März, Ehsaneddin Asgari, Fabienne Braune +2
Weak supervision is leveraged in a wide range of domains and tasks due to its ability to create massive amounts of labeled data, requiring only little manual effort. Standard appro…
cs.LG2021
KnowMAN: Weakly Supervised Multinomial Adversarial Networks
Luisa März, Ehsaneddin Asgari, Fabienne Braune +2
The absence of labeled data for training neural models is often addressed by leveraging knowledge about the specific task, resulting in heuristic but noisy labels. The knowledge is…
cs.CL2019
UniSent: Universal Adaptable Sentiment Lexica for 1000+ Languages
Ehsaneddin Asgari, Fabienne Braune, Benjamin Roth +2
In this paper, we introduce UniSent universal sentiment lexica for languages. Sentiment lexica are vital for sentiment analysis in absence of document-level annotations, a…