Semantic Parsing on PMB-2.2.0

Metric: F1 (higher is better)

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#	Model↕	F1▼	Extra Data	Paper	Date↕	Code
1	Bi-LSTM seq2seq: BERT + characters in 1 encoder	88.3	No	Character-level Representations Improve DRS-base...	2020-11-09	Code
2	Transformer seq2seq	87.1	No	-	-	-
3	Character-level bi-LSTM seq2seq + linguistic features	86.8	No	-	-	-
4	Character-level bi-LSTM seq2seq	83.3	No	Exploring Neural Methods for Parsing Discourse R...	2018-10-30	Code
5	Neural graph-based system using DAG-grammars	76.4	No	Semantic Graph Parsing with Recurrent Neural Net...	2019-09-30	-
6	Transition-based Stack-LSTM	74.4	No	-	-	-

#1Bi-LSTM seq2seq: BERT + characters in 1 encoderSOTA
88.3
F1· 2020-11-09
Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT Code
#2Transformer seq2seq
87.1
F1
No paper
#3Character-level bi-LSTM seq2seq + linguistic features
86.8
F1
No paper
#4Character-level bi-LSTM seq2seqSOTA
83.3
F1· 2018-10-30
Exploring Neural Methods for Parsing Discourse Representation Structures Code
#5Neural graph-based system using DAG-grammars
76.4
F1· 2019-09-30
Semantic Graph Parsing with Recurrent Neural Network DAG Grammars
#6Transition-based Stack-LSTM
74.4
F1
No paper