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1
EMBEDDIA tools output example corpus of Estonian, Croatian and Latvian news articles 1.0
Freienthal, Linda; Pelicon, Andraž; Martinc, Matej. - : Ekspress Meedia Group, 2022. : Styria Media Group, 2022
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2
Not All Comments Are Equal: Insights into Comment Moderation from a Topic-aware Model ...
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3
Not All Comments Are Equal: Insights into Comment Moderation from a Topic-aware Model ...
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4
Ekspress news article archive (in Estonian and Russian) 1.0
Purver, Matthew; Pollak, Senja; Freienthal, Linda. - : Ekspress Meedia Group, 2021
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5
Latvian user comment dataset 1.0
Shekhar, Ravi; Purver, Matthew; Pollak, Senja. - : Ekspress Meedia Group, 2021
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6
Ekspress user comment dataset 1.0
Shekhar, Ravi; Pollak, Senja; Pelicon, Andraž. - : Ekspress Meedia Group, 2021
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7
24sata news comment dataset 1.0
Shekhar, Ravi; Pranjic, Marko; Pollak, Senja. - : Styria Media Group, 2021
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8
24sata news article archive 1.0
Purver, Matthew; Shekhar, Ravi; Pranjić, Marko. - : Styria Media Group, 2021
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9
Latvian Delfi article archive (in Latvian and Russian) 1.0
Pollak, Senja; Purver, Matthew; Shekhar, Ravi. - : Ekspress Meedia Group, 2021
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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
Not all comments are equal: Insights into comment moderation from a topic-aware model ...
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13
Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model ...
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. ...
URL: https://zenodo.org/record/5562464
https://dx.doi.org/10.5281/zenodo.5562464
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14
Not all comments are equal: Insights into comment moderation from a topic-aware model ...
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15
Investigating cross-lingual training for offensive language detection
In: PeerJ Comput Sci (2021)
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16
Evaluating the Representational Hub of Language and Vision Models ...
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17
Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat ...
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