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How does the pre-training objective affect what large language models learn about linguistic properties? ...
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Automatic Identification and Classification of Bragging in Social Media ...
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Frustratingly Simple Pretraining Alternatives to Masked Language Modeling ...
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Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification ...
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Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience ...
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Modeling the Severity of Complaints in Social Media ...
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Abstract:
Read the paper on the folowing link: https://www.aclweb.org/anthology/2021.naacl-main.180/ Abstract: The speech act of complaining is used by humans to communicate a negative mismatch between reality and expectations as a reaction to an unfavorable situation. Linguistic theory of pragmatics categorizes complaints into various severity levels based on the face-threat that the complainer is willing to undertake. This is particularly useful for understanding the intent of complainers and how humans develop suitable apology strategies. In this paper, we study the severity level of complaints for the first time in computational linguistics. To facilitate this, we enrich a publicly available data set of complaints with four severity categories and train different transformer-based networks combined with linguistic information achieving 55.7 macro F1. We also jointly model binary complaint classification and complaint severity in a multi-task setting achieving new state-of-the-art results on binary complaint ...
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Keyword:
Artificial Intelligence; Computer Science and Engineering; Intelligent System; Natural Language Processing
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URL: https://dx.doi.org/10.48448/ghjc-1t03 https://underline.io/lecture/19992-modeling-the-severity-of-complaints-in-social-media
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In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering ...
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Frustratingly Simple Pretraining Alternatives to Masked Language Modeling ...
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Machine Extraction of Tax Laws from Legislative Texts
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In: Proceedings of the Natural Legal Language Processing Workshop 2021 (2021)
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Point-of-Interest Type Prediction using Text and Images ...
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Point-of-Interest Type Prediction using Text and Images ...
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An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction ...
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