Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
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EL
| URI: | http://purl.tuc.gr/dl/dias/58E6B8C0-E427-4789-A029-87AA00A0550C | ||
| Έτος | 2022 | ||
| Τύπος | Πλήρης Δημοσίευση σε Συνέδριο | ||
| Άδεια Χρήσης |
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| Βιβλιογραφική Αναφορά | D. Papadopoulos, K. Metropoulou, N. Papadakis, and N. Matsatsinis, “FarFetched: entity-centric reasoning and claim validation for the Greek language based on textually represented environments,” in Proceedings of the 12th Hellenic Conference on Artificial Intelligence (SETN 2022), Sep. 2022, doi: 10.1145/3549737.3549749. https://doi.org/10.1145/3549737.3549749 | ||
| Εμφανίζεται στις Συλλογές |
Our collective attention span is shortened by the flood of online information. With FarFetched, we address the need for automated claim validation based on the aggregated evidence derived from multiple online news sources. We introducean entity-centric reasoning framework in which latent connections between events,actions, or statements are revealed via entity mentions and represented in a graph database. Using entity linking and semantic similarity, we offer a way for collecting and combining information from diverse sources in order to generate evidence relevant to the user’s claim. Then, we leverage textual entailment recognition to quantitatively determine whether this assertion is credible, based on the created evidence. Our approach tries to fill the gap in automated claim validation for less-resourced languages and is showcased on the Greek language, complemented by the training of relevant semantic textual similarity (STS) and natural language inference (NLI) models that are evaluated on translated versions of commonbenchmarks.
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