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Multilingual Topic Labelling of News Topics using Ontological Mapping ...
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Multilingual Topic Labelling of News Topics using Ontological Mapping ...
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EMBEDDIA at SemEval-2022 Task 8: Investigating Sentence, Image, and Knowledge Graph Representations for Multilingual News Article Similarity ...
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EMBEDDIA at SemEval-2022 Task 8: Investigating Sentence, Image, and Knowledge Graph Representations for Multilingual News Article Similarity ...
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Not All Comments Are Equal: Insights into Comment Moderation from a Topic-aware Model ...
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Not All Comments Are Equal: Insights into Comment Moderation from a Topic-aware Model ...
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Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model ...
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Abstract:
Moderation of reader comments is a significant problem for online news platforms. Here, we experiment with models for automatic moderation, using a dataset of comments from a popular Croatian newspaper. Our analysis shows that while comments that violate the moderation rules mostly share common linguistic and thematic features, their content varies across the different sections of the newspaper. We therefore make our models topic-aware, incorporating semantic features from a topic model into the classification decision. Our results show that topic information improves the performance of the model, increases its confidence in correct outputs, and helps us understand the model's outputs. ... : Accepted to RANLP 2021 ...
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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.2109.10033 https://arxiv.org/abs/2109.10033
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Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model ...
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Not all comments are equal: Insights into comment moderation from a topic-aware model ...
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Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model ...
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Not all comments are equal: Insights into comment moderation from a topic-aware model ...
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Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings not Always Better Than Static for Semantic Change Detection ...
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Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings not Always Better Than Static for Semantic Change Detection ...
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A Comparison of Unsupervised Methods for Ad hoc Cross-Lingual Document Retrieval ...
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A Comparison of Unsupervised Methods for Ad hoc Cross-Lingual Document Retrieval ...
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A Comparison of Unsupervised Methods for Ad hoc Cross-Lingual Document Retrieval ...
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A Comparison of Unsupervised Methods for Ad hoc Cross-Lingual Document Retrieval ...
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The expansion of isms, 1820–1917: Data-driven analysis of political language in digitized newspaper collections ...
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The expansion of isms, 1820–1917: Data-driven analysis of political language in digitized newspaper collections ...
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