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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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Abstract:
Bragging is a speech act employed with the goal of constructing a favorable self-image through positive statements about oneself. It is widespread in daily communication and especially popular in social media, where users aim to build a positive image of their persona directly or indirectly. In this paper, we present the first large scale study of bragging in computational linguistics, building on previous research in linguistics and pragmatics. To facilitate this, we introduce a new publicly available data set of tweets annotated for bragging and their types. We empirically evaluate different transformer-based models injected with linguistic information in (a) binary bragging classification, i.e., if tweets contain bragging statements or not; and (b) multi-class bragging type prediction including not bragging. Our results show that our models can predict bragging with macro F1 up to 72.42 and 35.95 in the binary and multi-class classification tasks respectively. Finally, we present an extensive linguistic ... : Accepted at ACL 2022 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2203.05840 https://arxiv.org/abs/2203.05840
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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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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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