Search Results for author: Antal Van den Bosch

Found 42 papers, 4 papers with code

Less is Better: A cognitively inspired unsupervised model for language segmentation

1 code implementation COLING (CogALex) 2020 Jinbiao Yang, Stefan L. Frank, Antal Van den Bosch

Language users process utterances by segmenting them into many cognitive units, which vary in their sizes and linguistic levels.

Segmentation

Correlating Political Party Names in Tweets, Newspapers and Election Results

no code implementations PoliticalNLP (LREC) 2022 Eric Sanders, Antal Van den Bosch

However, we find a larger correlation and a smaller absolute error between party mentions in newspapers and the outcome of the elections in four of the five elections.

Sarcastic Soulmates: Intimacy and irony markers in social media messaging

no code implementations LILT 2016 Koen Hallmann, Florian Kunneman, Christine Liebrecht, Antal Van den Bosch, Margot van Mulken

With regard to automatic detection, we conclude that our classifier is able to detect ironic tweets addressed at another user as reliably as tweets that are not addressed at at a particular person.

Opinion Mining Sentiment Analysis

Hybrid moderation in the newsroom: Recommending featured posts to content moderators

no code implementations14 Jul 2023 Cedric Waterschoot, Antal Van den Bosch

As an expert evaluation, content moderators assessed the output of a random selection of articles by choosing comments to feature based on the recommendations, which resulted in a NDCG score of 0. 83.

Recommendation Systems

Optimising Twitter-based Political Election Prediction with Relevance andSentiment Filters

no code implementations LREC 2020 S, Eric ers, Antal Van den Bosch

Larger improvements for one election are possible, but result in deterioration of the MAE for the other elections.

Monitoring stance towards vaccination in Twitter messages

no code implementations1 Sep 2019 Florian Kunneman, Mattijs Lambooij, Albert Wong, Antal Van den Bosch, Liesbeth Mollema

We developed a system to automatically classify stance towards vaccination in Twitter messages, with a focus on messages with a negative stance.

Sentiment Analysis

Detecting harassment in real-time as conversations develop

no code implementations WS 2019 Wessel Stoop, Florian Kunneman, Antal Van den Bosch, Ben Miller

We developed a machine-learning-based method to detect video game players that harass teammates or opponents in chat earlier in the conversation.

BIG-bench Machine Learning

Dependency Parsing with your Eyes: Dependency Structure Predicts Eye Regressions During Reading

no code implementations WS 2019 Aless Lopopolo, ro, Stefan L. Frank, Antal Van den Bosch, Roel Willems

Backward saccades during reading have been hypothesized to be involved in structural reanalysis, or to be related to the level of text difficulty.

Dependency Parsing

Nederlab: Towards a Single Portal and Research Environment for Diachronic Dutch Text Corpora

no code implementations LREC 2016 Hennie Brugman, Martin Reynaert, Nicoline van der Sijs, Ren{\'e} van Stipriaan, Erik Tjong Kim Sang, Antal Van den Bosch

The Nederlab project aims to bring together all digitized texts relevant to the Dutch national heritage, the history of the Dutch language and culture (circa 800 {--} present) in one user friendly and tool enriched open access web interface.

Cultural Vocal Bursts Intensity Prediction

Enhancing Access to Online Education: Quality Machine Translation of MOOC Content

no code implementations LREC 2016 Valia Kordoni, Antal Van den Bosch, Katia Lida Kermanidis, Vilelmini Sosoni, Kostadin Cholakov, Iris Hendrickx, Matthias Huck, Andy Way

The present work is an overview of the TraMOOC (Translation for Massive Open Online Courses) research and innovation project, a machine translation approach for online educational content.

Machine Translation Sentiment Analysis +1

Can Tweets Predict TV Ratings?

no code implementations LREC 2016 Bridget Sommerdijk, S, Eric ers, Antal Van den Bosch

In absence of information on previous shows, Twitter-based counts may be a viable alternative to classic estimation methods for TV ratings.

DutchSemCor: Targeting the ideal sense-tagged corpus

no code implementations LREC 2012 Piek Vossen, Attila G{\"o}r{\"o}g, Rub{\'e}n Izquierdo, Antal Van den Bosch

Word Sense Disambiguation (WSD) systems require large sense-tagged corpora along with lexical databases to reach satisfactory results.

Active Learning Word Sense Disambiguation

Forgetting Exceptions is Harmful in Language Learning

no code implementations22 Dec 1998 Walter Daelemans, Antal Van den Bosch, Jakub Zavrel

We provide explanations for both results in terms of the properties of the natural language processing tasks and the learning algorithms.

Chunking Part-Of-Speech Tagging +1

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