Papers by Alvaro Rodrigo
ViClaim: A Multilingual Multilabel Dataset for Automatic Claim Detection in Videos (2025.emnlp-main)
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| Challenge: | Existing efforts in misinformation detection focus on written text, leaving a significant gap in addressing the complexity of spoken text in video transcripts. |
| Approach: | They propose to annotate video transcripts in three languages and six topics using a custom annotation tool. |
| Outcome: | The proposed tool shows strong cross-validation performance but challenges for generalization to unseen topics. |
A Methodology for Creating Question Answering Corpora Using Inverse Data Annotation (2020.acl-main)
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Jan Deriu, Katsiaryna Mlynchyk, Philippe Schläpfer, Alvaro Rodrigo, Dirk von Grünigen, Nicolas Kaiser, Kurt Stockinger, Eneko Agirre, Mark Cieliebak
| Challenge: | Existing methods to efficiently construct corpus for question answering over structured data are time-consuming and cost-intensive. |
| Approach: | They propose a method to efficiently construct a corpus for question answering over structured data. |
| Outcome: | The proposed method triples the annotation speed while maintaining complexity of queries. |
Spot The Bot: A Robust and Efficient Framework for the Evaluation of Conversational Dialogue Systems (2020.emnlp-main)
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Jan Deriu, Don Tuggener, Pius von Däniken, Jon Ander Campos, Alvaro Rodrigo, Thiziri Belkacem, Aitor Soroa, Eneko Agirre, Mark Cieliebak
| Challenge: | Lack of time efficient and reliable evalu-ation methods is hampering the development of conversational dialogue systems (chatbots). |
| Approach: | They propose a framework that replaces human-bot conversations with conversations between bots and an annotation tool that ranks chatbots based on their ability to mimic human behaviour. |
| Outcome: | The proposed evaluation framework replaces human-bot conversations with bot conversations and allows for frequent evaluations of chatbots during their evaluation cycle. |