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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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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 signifi- cant problem for online news platforms. Here, we experiment with models for automatic mod- eration, using a dataset of comments from a popular Croatian newspaper. Our analy- sis shows that while comments that violate the moderation rules mostly share common linguistic and thematic features, their con- tent 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 de- cision. Our results show that topic informa- tion improves the performance of the model, increases its confidence in correct outputs, and helps us understand the model’s outputs. ...
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URL: https://zenodo.org/record/5648098 https://dx.doi.org/10.5281/zenodo.5648098
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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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