From 896dbdc5e4db26d71e2abf4142f7fb8b2bd44da1 Mon Sep 17 00:00:00 2001 From: Sebastian Date: Tue, 26 Jun 2018 17:33:02 +0100 Subject: [PATCH] Fixed headlines, model names --- semantic_parsing.md | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/semantic_parsing.md b/semantic_parsing.md index 2b01c95e..c76c58fc 100644 --- a/semantic_parsing.md +++ b/semantic_parsing.md @@ -9,34 +9,35 @@ such as SQL or more abstract representations such as [Abstract Meaning Represent ### LDC2014T12 Models are evaluated on the newswire section and the full dataset based on F1. -Systems marked with \* are pipeline systems that require a dependency parse as input +Brackets indicates the preprocessed features a model uses. +Systems marked with \* are pipeline systems that require a dependency parse as input. | Model | F1 Newswire | F1 Full | Paper / Source | | ------------- | :-----:| :-----:| --- | -| Zhou et al. (2016) (POS, DEP, NER, SRL)* | 0.71 | 0.66 | [AMR Parsing with an Incremental Joint Model](https://aclweb.org/anthology/D16-1065) | -| Wang et al. (2015) (POS, DEP, NER, SRL)* | 0.70 | 0.66 | [Boosting Transition-based AMR Parsing with Refined Actions and Auxiliary Analyzers](http://www.aclweb.org/anthology/P15-2141) | -| Stack-LSTM (Ballesteros and Al-Onaizan, 2017) (POS, DEP) | 0.69 | 0.64 | [AMR Parsing using Stack-LSTMs](http://www.aclweb.org/anthology/D17-1130) | +| Incremental joint model (POS, DEP, NER, SRL) (Zhou et al., 2016)* | 0.71 | 0.66 | [AMR Parsing with an Incremental Joint Model](https://aclweb.org/anthology/D16-1065) | +| Augmented parser (POS, DEP, NER, SRL) (Wang et al., 2015)* | 0.70 | 0.66 | [Boosting Transition-based AMR Parsing with Refined Actions and Auxiliary Analyzers](http://www.aclweb.org/anthology/P15-2141) | +| Stack-LSTM (POS, DEP) (Ballesteros and Al-Onaizan, 2017) | 0.69 | 0.64 | [AMR Parsing using Stack-LSTMs](http://www.aclweb.org/anthology/D17-1130) | -# LDC2015E86 +### LDC2015E86 Models are evaluated based on smatch. | Model | Smatch | Paper / Source | | ------------- | :-----:| --- | -Ours | 73.7 | [AMR Parsing as Graph Prediction with Latent Alignment](https://arxiv.org/abs/1805.05286) | +Joint model (Lyu and Titov, 2018) | 73.7 | [AMR Parsing as Graph Prediction with Latent Alignment](https://arxiv.org/abs/1805.05286) | Mul-BiLSTM (Foland and Martin, 2017) | 70.7 | [Abstract Meaning Representation Parsing using LSTM Recurrent Neural Networks](http://aclweb.org/anthology/P17-1043) | JAMR (Flanigan et al., 2016) | 67.0 | [CMU at SemEval-2016 Task 8: Graph-based AMR Parsing with Infinite Ramp Loss](http://www.aclweb.org/anthology/S16-1186) | CAMR (Wang et al., 2016) | 66.5 | [CAMR at SemEval-2016 Task 8: An Extended Transition-based AMR Parser](http://www.aclweb.org/anthology/S16-1181) | AMREager (Damonte et al., 2017) | 64.0 | [An Incremental Parser for Abstract Meaning Representation](http://www.aclweb.org/anthology/E17-1051) | SEQ2SEQ + 20M (Konstas et al., 2017) | 62.1 | [Neural AMR: Sequence-to-Sequence Models for Parsing and Generation](https://arxiv.org/abs/1704.08381) | -# LDC2016E25 +### LDC2016E25 Results are computed over 8 runs. Models are evaluated based on smatch. | Model | Smatch | Paper / Source | | ------------- | :-----:| --- | -Ours | 74.4 | [AMR Parsing as Graph Prediction with Latent Alignment](https://arxiv.org/abs/1805.05286) | +Joint model (Lyu and Titov, 2018) | 74.4 | [AMR Parsing as Graph Prediction with Latent Alignment](https://arxiv.org/abs/1805.05286) | ChSeq + 100K (van Noord and Bos, 2017) | 71.0 | [Neural Semantic Parsing by Character-based Translation: Experiments with Abstract Meaning Representations](https://arxiv.org/abs/1705.09980) | Neural-Pointer (Buys and Blunsom, 2017) | 61.9 | [Oxford at SemEval-2017 Task 9: Neural AMR Parsing with Pointer-Augmented Attention](http://aclweb.org/anthology/S17-2157) |