Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Documents often have inherently parallel structure: they may consist of a text and commentaries, or an abstract and a body, or parts presenting alternative views on the same problem. Revealing relations beten the parts by jointly segmenting and predicting links beten the segments, would help to visualize such documents and construct friendlier user interfaces. To address this problem,  propose an unsupervised Bayesian model for joint discourse segmentation and alignment.  apply our method to the "English as a second language" podcast dataset where each episode is composed of two parallel parts: a story and an explanatory lecture. The predicted topical links uncover hidden relations beten the stories and the lectures. In this domain, our method achieves competitive results, rivaling those of a previously proposed supervised technique.
['Minwoo Jeong', 'Ivan Titov']
I am writing a research paper on a idea Unsupervised Discourse Segmentation of Documents with Inherently Parallel Structure
[{"from": "human", "value": "I am writing a research paper on a idea Unsupervised Discourse Segmentation of Documents with Inherently Parallel Structure"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Documents often have inherently parallel structure: they may consist of a text and commentaries, or an abstract and a body, or parts presenting alternative views on the same problem. Revealing relations beten the parts by jointly segmenting and predicting links beten the segments, would help to visualize such documents and construct friendlier user interfaces. To address this problem,  propose an unsupervised Bayesian model for joint discourse segmentation and alignment.  apply our method to the \"English as a second language\" podcast dataset where each episode is composed of two parallel parts: a story and an explanatory lecture. The predicted topical links uncover hidden relations beten the stories and the lectures. In this domain, our method achieves competitive results, rivaling those of a previously proposed supervised technique."}]