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Does Putting a Linguist in the Loop Improve NLU Data Collection ...
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46 |
Say `YES' to Positivity: Detecting Toxic Language in Workplace Communications ...
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Abstract:
Workplace communication (e.g. email, chat, etc.) is a central part of enterprise productivity. Healthy conversations are crucial for creating an inclusive environment and maintaining harmony in an organization. Toxic communications at the workplace can negatively impact overall job satisfaction and are often subtle, hidden, or demonstrate human biases. The linguistic subtlety of mild yet hurtful conversations has made it difficult for researchers to quantify and extract toxic conversations automatically. While offensive language or hate speech has been extensively studied in social communities, there has been little work studying toxic communication in emails. Specifically, the lack of corpus, sparsity of toxicity in enterprise emails, and well-defined criteria for annotating toxic conversations have prevented researchers from addressing the problem at scale. We take the first step towards studying toxicity in workplace emails by providing (1) a general and computationally viable taxonomy to study toxic ...
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URL: https://underline.io/lecture/38525-say-'yes'-to-positivity-detecting-toxic-language-in-workplace-communications https://dx.doi.org/10.48448/yxc0-g323
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Unsupervised Multi-View Post-OCR Error Correction With Language Models ...
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48 |
AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions ...
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ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection ...
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Multi-granularity Textual Adversarial Attack with Behavior Cloning ...
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Automatic Fact-Checking with Document-level Annotations using BERT and Multiple Instance Learning ...
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Towards the Early Detection of Child Predators in Chat Rooms: A BERT-based Approach ...
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TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning ...
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WebSRC: A Dataset for Web-Based Structural Reading Comprehension ...
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55 |
Improving Math Word Problems with Pre-trained Knowledge and Hierarchical Reasoning ...
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Semantic Categorization of Social Knowledge for Commonsense Question Answering ...
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Adversarial Examples for Evaluating Math Word Problem Solvers ...
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Pre-train or Annotate? Domain Adaptation with a Constrained Budget ...
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Learning with Different Amounts of Annotation: From Zero to Many Labels ...
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