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1
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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3
EMBEDDIA at SemEval-2022 Task 8: Investigating Sentence, Image, and Knowledge Graph Representations for Multilingual News Article Similarity ...
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4
EMBEDDIA at SemEval-2022 Task 8: Investigating Sentence, Image, and Knowledge Graph Representations for Multilingual News Article Similarity ...
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5
Not All Comments Are Equal: Insights into Comment Moderation from a Topic-aware Model ...
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6
Not All Comments Are Equal: Insights into Comment Moderation from a Topic-aware Model ...
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7
Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model ...
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8
Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model ...
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9
Not all comments are equal: Insights into comment moderation from a topic-aware model ...
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10
Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model ...
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11
Not all comments are equal: Insights into comment moderation from a topic-aware model ...
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12
Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings not Always Better Than Static for Semantic Change Detection ...
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13
Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings not Always Better Than Static for Semantic Change Detection ...
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14
A Comparison of Unsupervised Methods for Ad hoc Cross-Lingual Document Retrieval ...
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15
A Comparison of Unsupervised Methods for Ad hoc Cross-Lingual Document Retrieval ...
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16
A Comparison of Unsupervised Methods for Ad hoc Cross-Lingual Document Retrieval ...
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17
A Comparison of Unsupervised Methods for Ad hoc Cross-Lingual Document Retrieval ...
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18
The expansion of isms, 1820–1917: Data-driven analysis of political language in digitized newspaper collections ...
Abstract: Words with the suffix -ism are reductionist terms that help us navigate complex social issues by using a simple one-word label for them. On the one hand, they are often associated with political ideologies, but on the other they are present in many other domains of language, especially culture, science, and religion. This has not always been the case. This paper studies isms in a historical record of digitized newspapers published from 1820 to 1917 in Finland to find out how the language of isms developed historically. We use diachronic word embeddings and affinity propagation clustering to trace how new isms entered the lexicon and how they relate to one another over time. We are able to show how they became more common and entered more and more domains. Still, the uses of isms as traditions for political action and thinking stand out in our analysis. ...
Keyword: affinity propagation clustering; diachronic word embeddings; ideology; isms; political language
URL: https://zenodo.org/record/4447025
https://dx.doi.org/10.5281/zenodo.4447025
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The expansion of isms, 1820–1917: Data-driven analysis of political language in digitized newspaper collections ...
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Multilingual dynamic topic model ...
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