List your company

AMR parsing on AMR 3.0 (test)

86.5SMATCHBestgraph
74.33277.49180.6583.809Oct 23, 2020Apr 3, 2021Sep 12, 2021Feb 21, 2022Aug 2, 2022Jan 11, 2023Jun 23, 2023

Evaluation results

MethodLinks
BestgraphTime (s)=512023.0686.5—85.487.5888986.991.789.976.583.877.7
LeakDistillExtra Data=140K2023.0684.6—80.9——87.584.990.787.87381.373.4
LeakDistillExtra Data=None2023.0684.5—80.7——87.584.990.588.573.780.773.1
Struct-BART + MBSE-A silver1+2+3 + ensemble dec.vocabulary=joint, silver=219K, distillation=Ensemble-5, ensemble-decoding=true2021.1284.3———————————
Bai et al.silver=200K2021.1284.2———————————
Struct-BART + MBSE-G silver1+2+3 + ensemble dec.vocabulary=joint, silver=219K, distillation=Ensemble-4, ensemble-decoding=true2021.1284.2———————————
AMRBARTExtra Data=200K2023.0684.2—80.3——87.184.690.288.572.178.972.4
Assemble! avgTime (s)=635, Corrupted graphs=222023.0684.1—82.885.384.487.284.689.988.373.382.274.6
Struct-BART + MBSE-G silver1+2+3 + ensemble dec.vocabulary=separate, silver=219K, distillation=Ensemble-4, ensemble-decoding=true2021.1284———————————
Assemble! zeroTime (s)=256, Corrupted graphs=132023.0683.9—82.585.185.487.184.489.988.37482.274.3
BiBLExtra Data=None2023.0683.9—81.9——87.284.389.893.268.183.773.8
ATPExtra Data=40K2023.0683.9—82.5——8784.389.788.473.98173.9
Graphene SMATCHTime (s)=11,884, Corrupted graphs=2602023.0683.8—82.6858586.984.489.988.173.881.373.7
Assemble!Block=Mergers, Time (s)=431, Corrupted graphs=62023.0683.8—82.38585.28784.389.788.372.981.774.2
SPRINGExtra Data=None, Implementation=Authors' implementation2023.0683.8—79.8——86.784.389.987.271.581.571.4
SMATCHavgTime (s)=493, Corrupted graphs=512023.0683.7—82.48585.386.884.289.788.173.38273.9
GraphenebaseTime (s)=810, Corrupted graphs=3742023.0683.6—82.484.884.986.684.189.88873.581.272.3
AncestorExtra Data=None2023.0683.5—82.2——86.68489.588.972.681.574.2
StructBART-S ensem.Pre-trained Model=BART, Fine-tuning=true, Ensemble Decoding=true, Vocabulary Strategy=Separate2021.1083.1———————————
SPRING1Time (s)=54, Corrupted graphs=512023.0683.1—81.884.384.986.283.689.387.770.981.572.9
Bevilacqua et al.2021.0483———————————
Bevilacqua et al. (2021)Pre-trained Model=BART, Fine-tuning=true, External Dependency (Lemm.)=true2021.1083———————————
Bevilacqua et al. (2021)Pre-trained Model=BART, Fine-tuning=true, Extra Data=200K2021.1083———————————
Bevilacqua et al.silver=200K2021.1283———————————
SPRING3Time (s)=73, Corrupted graphs=212023.0683—81.784.385.186.383.589.387.672.681.873.1
SPRINGExtra Data=None2023.0683—79.1——85.483.589.587.171.781.271.3
SPRING4Time (s)=33, Corrupted graphs=322023.0682.8—81.48484.18683.388.987.371.781.572.8
StructBART-SPre-trained Model=BART, Fine-tuning=true, Extra Data=47K, Train Align.=true, Vocabulary Strategy=Separate2021.1082.7———————————
SPRING2Time (s)=52, Corrupted graphs=322023.0682.7—81.483.982.185.983.28987.572.680.273
StructBART-JPre-trained Model=BART, Fine-tuning=true, Extra Data=47K, Train Align.=true, Vocabulary Strategy=Joint2021.1082.6———————————
SPRING5Time (s)=104, Corrupted graphs=3262023.0682.6—81.483.984.585.883.289.287.37381.673
StructBART-SPre-trained Model=BART, Fine-tuning=true, Vocabulary Strategy=Separate2021.1082.3———————————
Structured-BART-baselinevocabulary=separate2021.1282.3———————————
StructBART-JPre-trained Model=BART, Fine-tuning=true, Vocabulary Strategy=Joint2021.1082———————————
Structured-BART-baselinevocabulary=joint2021.1282———————————
APT basebackbone=RoBERTa, decoding=partial ensemble2021.0481.2———————————
APT basebackbone=RoBERTa2021.0480.4———————————
Zhou et al. (2021)Pre-trained Model=RoBERTa, Collapse Subgraph=S.A., External Dependency (NER)=true2021.1080.3———————————
Zhou et al.year=2021a, silver=70K2021.1280.3———————————
Bevilacqua et al. (2021)Pre-trained Model=BART, Fine-tuning=true, Collapse Subgraph=G.R., External Dependency (Lemm.)=true2021.1080.2———————————
Lyu et al.2021.0475.8———————————
Lyu et al.2021.1275.8———————————
latent segmentation (rule)use_hand_crafted_rules=true2020.1075.88872.6—————————
latent segmentation (full)mode=full2020.1075.687.872.9—————————
latent segmentation (greedy)decoding=greedy2020.1074.88771.5—————————