Add to ORKGInternational audienceWe propose a novel approach to cross-lingual part-of-speech tagging and dependency parsing for truly low-resource languages. Our annotation projection-based approach yields tagging and parsing models for over 100 languages. All that is needed are freely available parallel texts, and taggers and parsers for resource-rich languages. The empirical evaluation across 30 test languages shows that our method consistently provides top-level accuracies , close to established upper bounds, and outperforms several competitive baselines
Key to fast adaptation of language technologies for any language hinges on the availability of funda...
State-of-the-art approaches to most Natural Language Processing (NLP) tasks have achieved near huma...
Despite the significant improvements yielded by aggregating supervised semantic analysis in various ...
International audienceWe propose a novel approach to cross-lingual part-of-speech tagging and depend...
© Dr Long DuongNatural language processing (NLP) aims, broadly speaking, to teach computers to under...
International audienceIn this paper, we propose a novel approach to induce automatically a Part-Of-S...
International audienceThe paper presents a method for parsing low-resource languages with very small...
This paper addresses cross-lingual dependency parsing using rich morphosyntactic tagsets. In our cas...
Cross-lingual transfer learning with large multilingual pre-trained models can be an effective appro...
accepted to appear in the special issue on Cross-Language Algorithms and ApplicationsPeer reviewe
Thesis (Ph.D.)--University of Washington, 2022Modern NLP systems have been highly successful at a wi...
We investigate whether off-the-shelf deep bidirectional sentence representations (Devlin et al., 201...
International audienceThis paper studies cross-lingual transfer for dependency parsing, focusing on ...
U ovom radu istražuje se prijenosno učenje kroz više jezika s ciljem omogućavanja sintaktičke analiz...
The field of low-density NLP is often approached from an engineering perspective, and evaluations ar...
Key to fast adaptation of language technologies for any language hinges on the availability of funda...
State-of-the-art approaches to most Natural Language Processing (NLP) tasks have achieved near huma...
Despite the significant improvements yielded by aggregating supervised semantic analysis in various ...
International audienceWe propose a novel approach to cross-lingual part-of-speech tagging and depend...
© Dr Long DuongNatural language processing (NLP) aims, broadly speaking, to teach computers to under...
International audienceIn this paper, we propose a novel approach to induce automatically a Part-Of-S...
International audienceThe paper presents a method for parsing low-resource languages with very small...
This paper addresses cross-lingual dependency parsing using rich morphosyntactic tagsets. In our cas...
Cross-lingual transfer learning with large multilingual pre-trained models can be an effective appro...
accepted to appear in the special issue on Cross-Language Algorithms and ApplicationsPeer reviewe
Thesis (Ph.D.)--University of Washington, 2022Modern NLP systems have been highly successful at a wi...
We investigate whether off-the-shelf deep bidirectional sentence representations (Devlin et al., 201...
International audienceThis paper studies cross-lingual transfer for dependency parsing, focusing on ...
U ovom radu istražuje se prijenosno učenje kroz više jezika s ciljem omogućavanja sintaktičke analiz...
The field of low-density NLP is often approached from an engineering perspective, and evaluations ar...
Key to fast adaptation of language technologies for any language hinges on the availability of funda...
State-of-the-art approaches to most Natural Language Processing (NLP) tasks have achieved near huma...
Despite the significant improvements yielded by aggregating supervised semantic analysis in various ...