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Query Expansion and Entity Weighting for Query Reformulation Retrieval in Voice Assistant Systems ...
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Improving Word Translation via Two-Stage Contrastive Learning ...
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Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction ...
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TURNER: The Uncertainty-based Retrieval Framework for Chinese NER ...
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LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval ...
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Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings ...
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Leveraging Multilingual Transformers for Hate Speech Detection ...
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Abstract:
Detecting and classifying instances of hate in social media text has been a problem of interest in Natural Language Processing in the recent years. Our work leverages state of the art Transformer language models to identify hate speech in a multilingual setting. Capturing the intent of a post or a comment on social media involves careful evaluation of the language style, semantic content and additional pointers such as hashtags and emojis. In this paper, we look at the problem of identifying whether a Twitter post is hateful and offensive or not. We further discriminate the detected toxic content into one of the following three classes: (a) Hate Speech (HATE), (b) Offensive (OFFN) and (c) Profane (PRFN). With a pre-trained multilingual Transformer-based text encoder at the base, we are able to successfully identify and classify hate speech from multiple languages. On the provided testing corpora, we achieve Macro F1 scores of 90.29, 81.87 and 75.40 for English, German and Hindi respectively while performing ... : To be published in: FIRE (Working Notes) 2020, Hate Speech and Offensive Content Identification in Indo-European Languages, HASOC 2020 ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; Computers and Society cs.CY; FOS Computer and information sciences; Information Retrieval cs.IR; Machine Learning cs.LG
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URL: https://dx.doi.org/10.48550/arxiv.2101.03207 https://arxiv.org/abs/2101.03207
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Multistage BiCross encoder for multilingual access to COVID-19 health information ...
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Scalable Cross-lingual Document Similarity through Language-specific Concept Hierarchies ...
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Revisiting Indirect Ontology Alignment : New Challenging Issues in Cross-Lingual Context ...
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A Review of Bangla Natural Language Processing Tasks and the Utility of Transformer Models ...
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Cascading Adaptors to Leverage English Data to Improve Performance of Question Answering for Low-Resource Languages ...
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Ranking Facts for Explaining Answers to Elementary Science Questions ...
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SUper Team at SemEval-2016 Task 3: Building a feature-rich system for community question answering ...
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BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models ...
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SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval ...
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