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csci5832-shared-task's Introduction

CSCI5832-Shared-Task

Team member

Arunima Maitra: [email protected]

Timur Tripp: [email protected]

Weiqiang Wang: [email protected]

Task 2: Safe Biomedical Natural Language Inference for Clinical Trials

Train.json

Comparison Example

"dbed5471-c2fc-45b5-b26f-430c9fa37a37": {
    "Type": "Comparison",
    "Section_id": "Adverse Events",
    "Primary_id": "NCT00093145",
    "Secondary_id": "NCT00703326",
    "Statement": "Heart-related adverse events were recorded in both the primary trial and the secondary trial.",
    "Label": "Entailment",
    "Primary_evidence_index": [
        0,
        3
    ],

    "Secondary_evidence_index": [
        0,
        7,
        8,
        9,
        10
    ]
}

Single Example

"83b83400-1439-462d-bba3-42817b5b1fa1": {
    "Type": "Single",
    "Section_id": "Adverse Events",
    "Primary_id": "NCT00777049",
    "Statement": "Most of the cases of CHF in the primary trial, were in cohort 1.",
    "Label": "Entailment",
    "Primary_evidence_index": [
        0,
        6,
        14,
        20
    ]
}

Train.txt

label_map = {"Entailment": 0,
             "Contradiction": 1
}
"83b83400-1439-462d-bba3-42817b5b1fa1" "0" "Most of the cases of CHF in the primary trial, were in cohort 1."

TF-IDF Entailment Prediction Baseline Result

F1:0.502415
precision_score:0.485981
recall_score:0.520000

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