[{"id": 617020, "created": "2025-08-08T05:44:43.494695", "project_id": 294, "task_id": 649237, "user_id": 315, "user_ip": null, "finish_time": "2025-08-08T05:46:55.130104", "timeout": null, "calibration": null, "external_uid": null, "media_url": null, "info": {"id": 1919, "src": "in this paper , we investigate the role of large amounts of noisily sense annotated data obtained using an unsupervised approach in relieving the data acquisition bottleneck for the wsd task .", "target": "in this paper , we present an unsupervised bootstrapping approach for wsd which exploits huge amounts of automatically generated noisy data .", "clarity": "clear", "faithfulness": "moderately_faithful", "plausibility": "plausible", "informativeness": "informative"}}, {"id": 626176, "created": "2025-08-17T20:58:38.198800", "project_id": 294, "task_id": 649237, "user_id": 325, "user_ip": null, "finish_time": "2025-08-17T20:58:55.156245", "timeout": null, "calibration": null, "external_uid": null, "media_url": null, "info": {"id": 1919, "src": "in this paper , we investigate the role of large amounts of noisily sense annotated data obtained using an unsupervised approach in relieving the data acquisition bottleneck for the wsd task .", "target": "in this paper , we present an unsupervised bootstrapping approach for wsd which exploits huge amounts of automatically generated noisy data .", "clarity": "neutral", "faithfulness": "moderately_faithful", "plausibility": "moderately_plausible", "informativeness": "moderately_informative"}}]