Papers by Antal van den Bosch
Discovering the Language of Wine Reviews: A Text Mining Account (L18-1)
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| Challenge: | odors and flavors are often expressed in wine reviews, but they are often not. |
| Approach: | They use a corpus of wine reviews to find out what wine is like in a review . they use lexical bag-of-words features, domain-specific terminology features and word embedding features to train machine learning. |
| Outcome: | The proposed model predicts the wine's color, grape variety, and country of origin based on the review text alone. |
Aspect-based summarization of pros and cons in unstructured product reviews (C18-1)
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| Challenge: | SynPat, a system based on syntactic phrases selected on the basis of valence scores, and a neural-network-based system trained on clusters of word-embedding encodings of similar pros and cons are compared to SynPat. |
| Approach: | They propose to use syntactic phrases selected on the basis of valence scores to generate pros and cons summaries. |
| Outcome: | The proposed systems outperform the baseline systems on held-out reviews with gold-standard pros and cons and on human annotators on relevance and completeness. |
Re-evaluating the Tomes for the Times (2024.lrec-main)
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| Challenge: | Literature is to some degree a snapshot of the time it was written and the societal attitudes of the period. |
| Approach: | They exploit known text co-occurrence metrics to identify problematic descriptors . they propose a method for making explicit such problematic associations . |
| Outcome: | The proposed method could be used by publishing houses, libraries and organisations concerned with social justice to make explicit such problematic associations. |
A Multilingual Wikified Data Set of Educational Material (L18-1)
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Iris Hendrickx, Eirini Takoulidou, Thanasis Naskos, Katia Lida Kermanidis, Vilelmini Sosoni, Hugo de Vos, Maria Stasimioti, Menno van Zaanen, Panayota Georgakopoulou, Valia Kordoni, Maja Popovic, Markus Egg, Antal van den Bosch
| Challenge: | a crowdsourcing effort to annotate and link parallel texts has been unsuccessful . a data set of parallel texts in eleven languages is presented . |
| Approach: | They present a wikified data set of English sentences linked to Wikipedia pages . they use crowdsourcing to annotate the texts and perform crowdsourcing for complex annotations . |
| Outcome: | The proposed data set is valuable as it constitutes a rich resource . it includes annotated data of English sentences linked to translations in eleven languages . |
Detecting Minority Arguments for Mutual Understanding: A Moderation Tool for the Online Climate Change Debate (2022.coling-1)
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| Challenge: | polarized topics such as climate change present challenges for moderators and researchers. |
| Approach: | They propose a moderation tool to support moderators in promoting mutual understanding in the online climate change debate by training classifiers to label incoming posts for the arguments they entail and using active learning to supplement the training data with rare arguments. |
| Outcome: | The proposed method can be part of the toolkit for moderators struggling with polarized topics such as climate change. |
Optimising Twitter-based Political Election Prediction with Relevance andSentiment Filters (2020.lrec-1)
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| Challenge: | A set of over 17,000 tweets containing political party names were annotated by at least three annotators per tweet on ten features denoting communicative intent. |
| Approach: | They propose to annotate tweets containing political party names by using oracle filters to achieve lower MAEs. |
| Outcome: | The proposed method achieves a mean absolute error (MAE) of 2.71% for 2012 and 2.02% for 2012, and 2.89% for 2015 for the Dutch elections. |