Towards UDPipe 3: Insights from the LatinPipe winning submission to EvaLatin 2024 [ LingMon

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  • เผยแพร่เมื่อ 14 เม.ย. 2024
  • 📅 March 18, 2023 | 🗣 Jana Straková and Federica Gamba (ÚFAL MFF UK) | 📝 Towards UDPipe 3: Insights from the LatinPipe winning submission to EvaLatin 2024
    🔖 ABOUT THE LECTURE
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    ▸UDPipe 2 is a popular dependency parsing, morphological analysis and lemmatization tool. In this talk, we present our on-going work towards UDPipe 3, and we aim to share our insights from winning the EvaLatin 2024 Dependency Parsing shared task with our new architecture, dubbed LatinPipe for this purpose. We describe our experiences with multi-treebank/multilingual training in practical usage and other shared tasks, the importance of annotation style harmonization, how contextualization and position encoding matter for dependency parsing, and some other tricks to boost performance in competition. Besides what we hope to be an accessible, high-level explanation of the LatinPipe architecture, we will also describe the annotation process of harmonizing the annotation styles of the publicly available Latin corpora and investigate its impact on parsing results.
    📽️ 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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    ▸web: ufal.mff.cuni.cz
    ▸facebook: / ufalmffuk
    ▸twitter: / ufal_cuni
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