Spanish in the Multilingual Event-type Ontology SynSemClass [ LingMon

📅 April 24, 2023 | 🗣 Cristina Fernández Alcaina (ÚFAL MFF UK) | 📝 Spanish in the Multilingual Event-type Ontology SynSemClass
🔖 ABOUT THE LECTURE
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▸This talk describes ongoing work in the multilingual SynSemClass ontology. In our lexicon, synonymy is understood in terms of ‘contextual-synonymy’ (Palmer 1981) in that context is defined in terms of the semantic roles expressed by the arguments and adjuncts of a verb, (either explicitly or implicitly and with possible restrictions). In this sense, monolingual and cross-lingual verbal synonyms are grouped into classes, considered here as ontological units representing individual event types. Based on previous work in German (Urešová et al. 2018), Spanish data have been extracted from a sentence-aligned parallel corpus. Each Spanish verb (sense) in the ontology is then described in terms of its syntactic-semantic properties and linked to a set of external resources available online, such as AnCora (Taulé et al. 2008) or Spanish FrameNet (Subirats 2009), thus enriching the annotation and enabling interoperability. The addition of Spanish verbal synonyms in SynSemClass has a twofold value as it enriches the ontology with a new language at the same time it links data from several independent resources for Spanish.
📽️ ABOUT THE SERIES
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▸The history of Linguistic Mondays dates back to the 1980s and their original aim was to make both the students and the faculty members as well as the wider research community aware of the field of computational linguistics in general and of the results achieved by the members of our team in particular. During the years, with the growing awareness of the domain and with new trends appearing on the scene and with more master and doctoral students coming in, the scope of the topics introduced has broadened correspondingly, covering all aspects of the field from the basics of computational linguistics, its linguistic and formal background through corpora case studies and natural language processing applications such as machine translation and information retrieval up to the most modern trends including machine learning. It is also offers an excellent opportunity for PhD students to present their results and to receive a relevant response from leading experts in the field.
❔ SOCIAL MEDIA
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