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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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Abstract:
In this paper, we present the participation of the EMBEDDIA team to the SemEval 2022 Task 8 (Multilingual News Article Similarity). We cover several techniques and propose different methods for finding the multilingual news article similarity by exploring the dataset in its entirety. We take advantage of the textual content of the articles, the provided metadata (e.g., titles, keywords, topics), the translated articles, the images (those that were available), and knowledge graph-based representations for entities and relations present in the articles. We, then, compute the semantic similarity between the different features and predict through regression the similarity scores. Our findings show that, while our researched methods obtained promising results, exploiting the semantic textual similarity with sentence representations is unbeatable. Finally, in the official SemEval 2022 Task 8, we ranked fifth in the overall team ranking cross-lingual results, and second in the English-only results. ...
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URL: https://dx.doi.org/10.5281/zenodo.6369943 https://zenodo.org/record/6369943
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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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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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