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- ItemA Feature Analysis for Multimodal News Retrieval(Aachen : RWTH, 2020) Tahmasebzadeh, Golsa; Hakimov, Sherzod; Müller-Budack, Eric; Ewerth, RalphContent-based information retrieval is based on the information contained in documents rather than using metadata such as keywords. Most information retrieval methods are either based on text or image. In this paper, we investigate the usefulness of multimodal features for cross-lingual news search in various domains: politics, health, environment, sport, and finance. To this end, we consider five feature types for image and text and compare the performance of the retrieval system using different combinations. Experimental results show that retrieval results can be improved when considering both visual and textual information. In addition, it is observed that among textual features entity overlap outperforms word embeddings, while geolocation embeddings achieve better performance among visual features in the retrieval task.
- ItemAdvances in Semantics and Explainability for NLP: Joint Proceedings of the 2nd International Workshop on Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP 2021) & 6th International Workshop on Explainable Sentiment Mining and Emotion Detection (X-SENTIMENT 2021), co-located with the 18th Extended Semantic Web Conference (ESWC 2021)(Aachen : RWTH Aachen, 2021) Ben Abbès, Sarra; Hantach, Rim; Calvez, Philippe; Buscaldi, Davide; Dessì, Danilo; Dragoni, Mauro; Reforgiato Recupero, Diego; Sack, Harald[no abstract available]