Papers with computational linguistic
SanskritShala: A Neural Sanskrit NLP Toolkit with Web-Based Interface for Pedagogical and Annotation Purposes (2023.acl-demo)
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| Challenge: | SanskritShala is a neural-based Sanskrit NLP toolkit that is available as a web-based application . |
| Approach: | They propose a neural Sanskrit NLP toolkit that facilitates linguistic analyses for word segmentation, morphological tagging, dependency parsing, and compound type identification. |
| Outcome: | The proposed toolkit reports state-of-the-art performance on benchmark datasets . it is built with easy-to-use interactive data annotation features . |
Unintended Bias Detection and Mitigation in Misogynous Memes (2024.eacl-long)
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| Challenge: | Existing models that detect misogyny are not able to detect unintended biases in memes, perpetuating harmful stereotypes and reinforcing negative attitudes. |
| Approach: | They propose to measure and mitigate unintentional bias in misogynous memes detection models by using a contextualized scene graph-based multimodal network (CTXSGMNet) they also evaluate their generalizability by evaluating their performance on a few benchmark meme datasets. |
| Outcome: | The proposed model achieves state-of-the-art performance on the SemEval-2022 Task 5 (MAMI task) dataset, showcasing its promising performance in terms of Equity of Odds and F1 score. |
The French-Algerian Code-Switching Triggered audio corpus (FACST) (L18-1)
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| Challenge: | The French Algerian Code-Switching Triggered corpus is a corpus of spontaneous CS utterances . it is used to support linguistic and phonetic studies in phonetics and prosody . |
| Approach: | They propose to use a triggering protocol to elicit CS in natural conversations . they propose to do data segmentation and annotation in each language . |
| Outcome: | The proposed corpus is based on a code-switching protocol and is well-suited for linguistic and acoustic-phonetic studies. |