[{"id": 617216, "created": "2025-08-08T07:27:23.408210", "project_id": 294, "task_id": 649407, "user_id": 315, "user_ip": null, "finish_time": "2025-08-08T07:27:56.813973", "timeout": null, "calibration": null, "external_uid": null, "media_url": null, "info": {"id": 1977, "src": "after sentence splitting and tokenization , we applied the highly efficient treetagger for part-of-speech tagging and we extracted time and money entities with fast regular expressions .", "target": "we employed the uima tokenizer 2 to generate tokens and sentences , and the treetagger for part-of-speech tagging and chunking .", "clarity": "clear", "faithfulness": "moderately_faithful", "plausibility": "moderately_plausible", "informativeness": "informative"}}, {"id": 626424, "created": "2025-08-18T02:55:18.645073", "project_id": 294, "task_id": 649407, "user_id": 325, "user_ip": null, "finish_time": "2025-08-18T02:55:29.808625", "timeout": null, "calibration": null, "external_uid": null, "media_url": null, "info": {"id": 1977, "src": "after sentence splitting and tokenization , we applied the highly efficient treetagger for part-of-speech tagging and we extracted time and money entities with fast regular expressions .", "target": "we employed the uima tokenizer 2 to generate tokens and sentences , and the treetagger for part-of-speech tagging and chunking .", "clarity": "neutral", "faithfulness": "moderately_faithful", "plausibility": "moderately_plausible", "informativeness": "informative"}}]