Nov 14, 2019 · We conduct extensive experiments on cross-lingual named entity recognition with minimal resources over five target languages.
We conduct extensive experiments on cross-lingual named entity recognition with minimal re- sources over five target languages. The results show that our.
This paper presents a meta-learning algorithm to find a good model parameter initialization that could fast adapt to the given test case and proposes to ...
We conduct extensive experiments on cross-lingual named entity recognition with minimal resources over five target languages. The results show that our approach ...
Sep 4, 2023 · Bibliographic details on Enhanced Meta-Learning for Cross-Lingual Named Entity Recognition with Minimal Resources.
Apr 28, 2020 · We conduct extensive experiments on cross-lingual named entity recognition with minimal resources over five target languages. The results show ...
Cross-Lingual NER on MSRA ; 1. Meta-Cross. 77.89. Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources ; 2. Base Model. 76.42.
Meta-Cross. 55.3. Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources. 2019. 2. Base Model. 50.89. Enhanced Meta-Learning ...
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2020. Enhanced Meta-Learning for Cross-Lingual Named Entity Recognition with Minimal Resources. Proceedings of the AAAI Conference on Artificial Intelligence.
This work proposes a method that finds translations based on bilingual word embeddings and uses self-attention to improve robustness to word order ...