[{"id": 616470, "created": "2025-08-06T04:11:57.744589", "project_id": 294, "task_id": 649010, "user_id": 315, "user_ip": null, "finish_time": "2025-08-06T04:12:50.261489", "timeout": null, "calibration": null, "external_uid": null, "media_url": null, "info": {"id": 111, "src": "in this paper , we present a neural keyphrase extraction framework that exploits conversation context , which is represented by neural encoders for capturing salient content to help in indicating keyphrases in target posts .", "target": "in this paper , we present a neural keyphrase extraction framework for microblog posts that takes their conversation context into account , where four types of neural encoders , namely , averaged embedding , rnn , attention , and memory .", "clarity": "very_clear", "faithfulness": "moderately_faithful", "plausibility": "highly_plausible", "informativeness": "very_informative"}}, {"id": 619525, "created": "2025-08-12T01:11:49.587710", "project_id": 294, "task_id": 649010, "user_id": 325, "user_ip": null, "finish_time": "2025-08-12T01:12:04.351442", "timeout": null, "calibration": null, "external_uid": null, "media_url": null, "info": {"id": 111, "src": "in this paper , we present a neural keyphrase extraction framework that exploits conversation context , which is represented by neural encoders for capturing salient content to help in indicating keyphrases in target posts .", "target": "in this paper , we present a neural keyphrase extraction framework for microblog posts that takes their conversation context into account , where four types of neural encoders , namely , averaged embedding , rnn , attention , and memory .", "clarity": "neutral", "faithfulness": "moderately_faithful", "plausibility": "moderately_plausible", "informativeness": "moderately_informative"}}]