@misc{17203,
  author = {Sushant Gautam and Saloni Shikha and Alina Devkota and Spandan Pyakurel},
  title = {Sentence Ranking and Answer Pinpointing in Online Discussion Forums Utilising User-generated Metrics and Highlights},
  abstract = {One of the major challenges in searching on the internet has been that the search engines and online forums have not been able to extract and pinpoint the exact answer to people{\textquoteright}s query despite information being available on the internet. Extraction of to-the-point answers from articles, posts and blogs tend to improve the search accuracy. Sentence Ranking helps to rank answers according to score that represents the positive remark for the relevance of sentence. User-generated metrics can be used to improve sentence ranking. Also, the text selected and saved as highlights by users can be used to extract the most important parts of the content. Answer pinpointing in simple forums can be achieved by allowing users to highlight parts of text, store it in a database and analyse such highlights using sentence ranking engine followed by answer extraction to find best chunk of texts. It can prove to be a milestone in providing exact and relevant answers as per the searchers{\textquoteright} intent and can also facilitate the improvement of question answering in discussion forums.},
  year = {2018},
  journal = {Proceedings of the 9th National Student{\textquoteright}s Conference on Information Technology},
  volume = {9},
  month = {2018},
  address = {Kathmandu, Nepal},
  url = {https://www.researchgate.net/publication/330041750_Sentence_Ranking_and_Answer_Pinpointing_in_Online_Discussion_Forums_Utilising_User-generated_Metrics_and_Highlights},
}