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Kopsala :
Kopsala : Transition-Based Graph Parsing via Efficient Training and Effective Encoding
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- Hershcovich, Daniel (författare)
- Univ Copenhagen, Copenhagen, Denmark.
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- de Lhoneux, Miryam (författare)
- Univ Copenhagen, Copenhagen, Denmark.
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- Kulmizev, Artur (författare)
- Uppsala universitet,Institutionen för lingvistik och filologi
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- Pejhan, Elham (författare)
- Univ Copenhagen, Copenhagen, Denmark.
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- Nivre, Joakim, 1962- (författare)
- Uppsala universitet,Institutionen för lingvistik och filologi
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Univ Copenhagen, Copenhagen, Denmark Institutionen för lingvistik och filologi (creator_code:org_t)
- Stroudsburg, PA, USA : Association for Computational Linguistics, 2020
- 2020
- Engelska.
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Ingår i: 16th International Conference on Parsing Technologies and IWPT 2020 Shared Task on Parsing Into Enhanced Universal Dependencies. - Stroudsburg, PA, USA : Association for Computational Linguistics. - 9781952148118 ; , s. 236-244
- Relaterad länk:
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https://www.aclweb.o...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- We present Kopsala, the Copenhagen-Uppsala system for the Enhanced Universal Dependencies Shared Task at IWPT 2020. Our system is a pipeline consisting of off-the-shelf models for everything but enhanced graph parsing, and for the latter, a transition-based graph parser adapted from Che et al. (2019). We train a single enhanced parser model per language, using gold sentence splitting and tokenization for training, and rely only on tokenized surface forms and multilingual BERT for encoding. While a bug introduced just before submission resulted in a severe drop in precision, its post-submission fix would bring us to 4th place in the official ranking, according to average ELAS. Our parser demonstrates that a unified pipeline is elective for both Meaning Representation Parsing and Enhanced Universal Dependencies.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Språkteknologi (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Language Technology (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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