HUJI-KU at MRP 2020: Two Transition-based Neural Parsers
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HUJI-KU at MRP 2020 : Two Transition-based Neural Parsers. / Arviv, Ofir; Cui, Ruixiang; Hershcovich, Daniel.
Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing. Association for Computational Linguistics, 2020. p. 73-82.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - HUJI-KU at MRP 2020
T2 - CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing,
AU - Arviv, Ofir
AU - Cui, Ruixiang
AU - Hershcovich, Daniel
PY - 2020
Y1 - 2020
N2 - This paper describes the HUJI-KU system submission to the shared task on CrossFramework Meaning Representation Parsing (MRP) at the 2020 Conference for Computational Language Learning (CoNLL), employing TUPA and the HIT-SCIR parser, which were, respectively, the baseline system and winning system in the 2019 MRP shared task. Both are transition-based parsers using BERT contextualized embeddings. We generalized TUPA to support the newly-added MRP frameworks and languages, and experimented with multitask learning with the HIT-SCIR parser. We reached 4th place in both the crossframework and cross-lingual tracks.
AB - This paper describes the HUJI-KU system submission to the shared task on CrossFramework Meaning Representation Parsing (MRP) at the 2020 Conference for Computational Language Learning (CoNLL), employing TUPA and the HIT-SCIR parser, which were, respectively, the baseline system and winning system in the 2019 MRP shared task. Both are transition-based parsers using BERT contextualized embeddings. We generalized TUPA to support the newly-added MRP frameworks and languages, and experimented with multitask learning with the HIT-SCIR parser. We reached 4th place in both the crossframework and cross-lingual tracks.
U2 - 10.18653/v1/2020.conll-shared.7
DO - 10.18653/v1/2020.conll-shared.7
M3 - Article in proceedings
SP - 73
EP - 82
BT - Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing
PB - Association for Computational Linguistics
Y2 - 19 November 2020 through 20 November 2020
ER -
ID: 254670439