TUPA at MRP 2019: A Multi-Task Baseline System

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Standard

TUPA at MRP 2019 : A Multi-Task Baseline System. / Hershcovich, Daniel; Arviv, Ofir .

Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 CoNLL. Association for Computational Linguistics, 2020. p. 28-39.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Harvard

Hershcovich, D & Arviv, O 2020, TUPA at MRP 2019: A Multi-Task Baseline System. in Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 CoNLL. Association for Computational Linguistics, pp. 28-39, 2019 Conference on Natural Language Learning, CoNLL, Hong Kong, China, 01/11/2019.

APA

Hershcovich, D., & Arviv, O. (2020). TUPA at MRP 2019: A Multi-Task Baseline System. In Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 CoNLL (pp. 28-39). Association for Computational Linguistics.

Vancouver

Hershcovich D, Arviv O. TUPA at MRP 2019: A Multi-Task Baseline System. In Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 CoNLL. Association for Computational Linguistics. 2020. p. 28-39

Author

Hershcovich, Daniel ; Arviv, Ofir . / TUPA at MRP 2019 : A Multi-Task Baseline System. Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 CoNLL. Association for Computational Linguistics, 2020. pp. 28-39

Bibtex

@inproceedings{9ef46bb8d6a94f70ac1e472c9b825fad,
title = "TUPA at MRP 2019: A Multi-Task Baseline System",
abstract = "This paper describes the TUPA system submission to the shared task on Cross-Framework Meaning Representation Parsing (MRP) at the 2019 Conference for Computational Language Learning (CoNLL). TUPA provides a baseline point of comparison and is not considered in the official ranking of participating systems. While originally developed for UCCA only, TUPA has been generalized to support all MRP frameworks included in the task, and trained using multi-task learning to parse them all with a shared model. It is a transition-based parser with a BiLSTM encoder, augmented with BERT contextualized embeddings ",
author = "Daniel Hershcovich and Ofir Arviv",
year = "2020",
language = "English",
pages = "28--39",
booktitle = "Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 CoNLL",
publisher = "Association for Computational Linguistics",
note = "2019 Conference on Natural Language Learning, CoNLL ; Conference date: 01-11-2019 Through 01-11-2019",

}

RIS

TY - GEN

T1 - TUPA at MRP 2019

T2 - 2019 Conference on Natural Language Learning, CoNLL

AU - Hershcovich, Daniel

AU - Arviv, Ofir

PY - 2020

Y1 - 2020

N2 - This paper describes the TUPA system submission to the shared task on Cross-Framework Meaning Representation Parsing (MRP) at the 2019 Conference for Computational Language Learning (CoNLL). TUPA provides a baseline point of comparison and is not considered in the official ranking of participating systems. While originally developed for UCCA only, TUPA has been generalized to support all MRP frameworks included in the task, and trained using multi-task learning to parse them all with a shared model. It is a transition-based parser with a BiLSTM encoder, augmented with BERT contextualized embeddings

AB - This paper describes the TUPA system submission to the shared task on Cross-Framework Meaning Representation Parsing (MRP) at the 2019 Conference for Computational Language Learning (CoNLL). TUPA provides a baseline point of comparison and is not considered in the official ranking of participating systems. While originally developed for UCCA only, TUPA has been generalized to support all MRP frameworks included in the task, and trained using multi-task learning to parse them all with a shared model. It is a transition-based parser with a BiLSTM encoder, augmented with BERT contextualized embeddings

M3 - Article in proceedings

SP - 28

EP - 39

BT - Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 CoNLL

PB - Association for Computational Linguistics

Y2 - 1 November 2019 through 1 November 2019

ER -

ID: 239516689