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Fairly Accurate: Learning Optimal Accuracy vs. Fairness Tradeoffs for Hate Speech Detection ...
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Mono vs Multilingual BERT: A Case Study in Hindi and Marathi Named Entity Recognition ...
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End-to-end contextual asr based on posterior distribution adaptation for hybrid ctc/attention system ...
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CausalKG: Causal Knowledge Graph Explainability using interventional and counterfactual reasoning ...
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Conceptual structure and the growth of scientific knowledge ...
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Large-scale Bilingual Language-Image Contrastive Learning ...
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Towards Contextual Spelling Correction for Customization of End-to-end Speech Recognition Systems ...
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Bridging Video-text Retrieval with Multiple Choice Questions ...
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Cross-media Scientific Research Achievements Query based on Ranking Learning ...
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Semantic properties of English nominal pluralization: Insights from word embeddings ...
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Informative Causality Extraction from Medical Literature via Dependency-tree based Patterns ...
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NorDiaChange: Diachronic Semantic Change Dataset for Norwegian ...
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Toxicity Detection for Indic Multilingual Social Media Content ...
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Abstract:
Toxic content is one of the most critical issues for social media platforms today. India alone had 518 million social media users in 2020. In order to provide a good experience to content creators and their audience, it is crucial to flag toxic comments and the users who post that. But the big challenge is identifying toxicity in low resource Indic languages because of the presence of multiple representations of the same text. Moreover, the posts/comments on social media do not adhere to a particular format, grammar or sentence structure; this makes the task of abuse detection even more challenging for multilingual social media platforms. This paper describes the system proposed by team 'Moj Masti' using the data provided by ShareChat/Moj in \emph{IIIT-D Multilingual Abusive Comment Identification} challenge. We focus on how we can leverage multilingual transformer based pre-trained and fine-tuned models to approach code-mixed/code-switched classification tasks. Our best performing system was an ensemble of ... : It was meant for IEEE BigM conference ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2201.00598 https://dx.doi.org/10.48550/arxiv.2201.00598
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Learn from Structural Scope: Improving Aspect-Level Sentiment Analysis with Hybrid Graph Convolutional Networks ...
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SciNLI: A Corpus for Natural Language Inference on Scientific Text ...
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SHAS: Approaching optimal Segmentation for End-to-End Speech Translation ...
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A New Framework for Fast Automated Phonological Reconstruction Using Trimmed Alignments and Sound Correspondence Patterns ...
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