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Edoardo Maria Ponti

7 أوراق في مجموعة PaperMetrix

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أوراق هذا المؤلف

  1. Multi-SimLex: A Large-Scale Evaluation of Multilingual and Crosslingual Lexical Semantic Similarity

    2020 · Computational Linguistics

    We introduce Multi-SimLex, a large-scale lexical resource and evaluation benchmark covering data sets for 12 typologically diverse languages, including major languages (e.g., Mandarin Chinese, Spanish, Russian) as well as less-resourced ones (e.g., Welsh, Kiswahili). Each …

  2. Cross-Lingual Dialogue Dataset Creation via Outline-Based Generation

    2022 · arXiv (Cornell University)

    Multilingual task-oriented dialogue (ToD) facilitates access to services and information for many (communities of) speakers. Nevertheless, the potential of this technology is not fully realised, as current datasets for multilingual ToD - both for modular …

  3. Probing Pretrained Language Models for Lexical Semantics

    2020 · arXiv (Cornell University)

    The success of large pretrained language models (LMs) such as BERT and RoBERTa has sparked interest in probing their representations, in order to unveil what types of knowledge they implicitly capture. While prior research focused …

  4. Elastic Weight Removal for Faithful and Abstractive Dialogue Generation

    2023 · arXiv (Cornell University)

    Ideally, dialogue systems should generate responses that are faithful to the knowledge contained in relevant documents. However, many models generate hallucinated responses instead that contradict it or contain unverifiable information. To mitigate such undesirable behaviour, …

  5. Are Large Language Model Temporally Grounded?

    2024

    Yifu Qiu, Zheng Zhao, Yftah Ziser, Anna Korhonen, Edoardo Ponti, Shay Cohen. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). …

  6. Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP

    2018

    The transfer or share of knowledge between languages is a popular solution to resource scarcity in NLP. However, the effectiveness of cross-lingual transfer can be challenged by variation in syntactic structures. Frameworks such as Universal …

  7. On the Relation between Linguistic Typology and (Limitations of) Multilingual Language Modeling

    2018

    A key challenge in cross-lingual NLP is developing general language-independent architectures that are equally applicable to any language. However, this ambition is largely hampered by the variation in structural and semantic properties, i.e. the typological …