TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/Harshad

Harshad

Reported on 12 benchmarks across 4 tasks

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

Methodology6 results

  • Data MiningonValNov Subtask A
    JOINT-F1
    17.35
    best: 45.16 (CLTeamL-3)
  • Data MiningonValNov Subtask A
    NOV-F1
    39
    best: 70 (ACCEPT-1)
  • Data MiningonValNov Subtask A
    VAL-F1
    56.31
    best: 74.64 (CLTeamL-3)
  • Interpretable Machine LearningonValNov Subtask A
    JOINT-F1
    17.35
    best: 45.16 (CLTeamL-3)
  • Interpretable Machine LearningonValNov Subtask A
    NOV-F1
    39
    best: 70 (ACCEPT-1)
  • Interpretable Machine LearningonValNov Subtask A
    VAL-F1
    56.31
    best: 74.64 (CLTeamL-3)

Natural Language Processing6 results

  • Argument MiningonValNov Subtask A
    JOINT-F1
    17.35
    best: 45.16 (CLTeamL-3)
  • Argument MiningonValNov Subtask A
    NOV-F1
    39
    best: 70 (ACCEPT-1)
  • Argument MiningonValNov Subtask A
    VAL-F1
    56.31
    best: 74.64 (CLTeamL-3)
  • ValNovonValNov Subtask A
    JOINT-F1
    17.35
    best: 45.16 (CLTeamL-3)
  • ValNovonValNov Subtask A
    NOV-F1
    39
    best: 70 (ACCEPT-1)
  • ValNovonValNov Subtask A
    VAL-F1
    56.31
    best: 74.64 (CLTeamL-3)