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Models/ACE

ACE

Reported on 41 benchmarks across 11 tasks · 2 papers · 34 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing33 results

  • Part-Of-Speech TaggingonRitter
    Acc· 2020-10-10
    93.4
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Part-Of-Speech TaggingonARK
    Acc· 2020-10-10
    94.4
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Part-Of-Speech TaggingonTweebank
    Acc· 2020-10-10
    95.8
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Semantic ParsingonDM
    In-domain· 2020-10-10
    95.6
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Semantic ParsingonDM
    Out-of-domain· 2020-10-10
    92.6
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Semantic ParsingonPSD
    In-domain· 2020-10-10
    83.8
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Semantic ParsingonPSD
    Out-of-domain· 2020-10-10
    83.4
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Semantic ParsingonPAS
    In-domain· 2020-10-10
    95.8
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Semantic ParsingonPAS
    Out-of-domain· 2020-10-10
    94.6
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Sentiment AnalysisonSemEval-2014 Task-4
    Laptop (F1)· 2020-10-10
    87.4
    best: 92.3 (InstructABSA)
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Sentiment AnalysisonSemEval-2014 Task-4
    Restaurant (F1)· 2020-10-10
    92
    best: 92.76 (InstructABSA)
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Sentiment Analysison SemEval 2015 Task 12
    Restaurant (F1)· 2020-10-10
    80.3
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • ChunkingonCoNLL 2003 (German)
    F1· 2020-10-10
    95
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • ChunkingonPenn Treebank
    F1 score· 2020-10-10
    97.3
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • ChunkingonCoNLL 2000
    Exact Span F1· 2020-10-10
    97.3
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • ChunkingonCoNLL 2003 (English)
    F1· 2020-10-10
    92.5
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Aspect-Based Sentiment Analysis (ABSA)onSemEval-2014 Task-4
    Laptop (F1)· 2020-10-10
    87.4
    best: 92.3 (InstructABSA)
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Aspect-Based Sentiment Analysis (ABSA)onSemEval-2014 Task-4
    Restaurant (F1)· 2020-10-10
    92
    best: 92.76 (InstructABSA)
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Aspect-Based Sentiment Analysis (ABSA)on SemEval 2015 Task 12
    Restaurant (F1)· 2020-10-10
    80.3
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Shallow SyntaxonCoNLL 2003 (German)
    F1· 2020-10-10
    95
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Shallow SyntaxonPenn Treebank
    F1 score· 2020-10-10
    97.3
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Shallow SyntaxonCoNLL 2000
    Exact Span F1· 2020-10-10
    97.3
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Shallow SyntaxonCoNLL 2003 (English)
    F1· 2020-10-10
    92.5
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Aspect ExtractiononSemEval-2014 Task-4
    Laptop (F1)· 2020-10-10
    87.4
    best: 92.3 (InstructABSA)
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Aspect ExtractiononSemEval-2014 Task-4
    Restaurant (F1)· 2020-10-10
    92
    best: 92.76 (InstructABSA)
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Aspect Extractionon SemEval 2015 Task 12
    Restaurant (F1)· 2020-10-10
    80.3
    SOTA
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Dependency ParsingonPenn Treebank
    LAS· 2020-10-10
    95.8
    best: 96.26 (Label Attention Layer + HPSG + XLNet)
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Dependency ParsingonPenn Treebank
    UAS· 2020-10-10
    97.2
    best: 97.42 (Label Attention Layer + HPSG + XLNet)
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Named Entity Recognition (NER)onCoNLL 2003 (German)
    F1· 2020-10-10
    87
    best: 88.38 (ACE + document-context)
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Named Entity Recognition (NER)onCoNLL 2003 (English)
    F1· 2020-10-10
    93.64
    best: 94.6 (ACE + document-context)
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Named Entity Recognition (NER)onCoNLL 2002 (Spanish)
    F1· 2020-10-10
    91.7
    best: 95.9 (ACE + document-context)
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Named Entity Recognition (NER)onCoNLL 2002 (Dutch)
    F1· 2020-10-10
    94.6
    best: 95.7 (ACE + document-context)
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006
  • Named Entity Recognition (NER)onCoNLL 2003 (German) Revised
    F1· 2020-10-10
    90.5
    best: 92.23 (FLERT XLM-R)
    Automated Concatenation of Embeddings for Structured PredictionarXiv:2010.05006

Methodology4 results

  • Multi-agent Reinforcement LearningonSMAC 3s5z_vs_3s6z
    Median Win Rate· 2022-11-29
    100
    SOTA
    ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-DependencyarXiv:2211.16068
  • Multi-agent Reinforcement LearningonSMAC corridor
    Median Win Rate· 2022-11-29
    100
    SOTA
    ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-DependencyarXiv:2211.16068
  • Multi-agent Reinforcement LearningonSMAC MMM2
    Median Win Rate· 2022-11-29
    100
    SOTA
    ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-DependencyarXiv:2211.16068
  • Multi-agent Reinforcement LearningonSMAC 6h_vs_8z
    Median Win Rate· 2022-11-29
    93.75
    SOTA
    ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-DependencyarXiv:2211.16068

Playing Games4 results

  • SMAConSMAC 3s5z_vs_3s6z
    Median Win Rate· 2022-11-29
    100
    SOTA
    ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-DependencyarXiv:2211.16068
  • SMAConSMAC corridor
    Median Win Rate· 2022-11-29
    100
    SOTA
    ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-DependencyarXiv:2211.16068
  • SMAConSMAC MMM2
    Median Win Rate· 2022-11-29
    100
    SOTA
    ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-DependencyarXiv:2211.16068
  • SMAConSMAC 6h_vs_8z
    Median Win Rate· 2022-11-29
    93.75
    SOTA
    ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-DependencyarXiv:2211.16068