Abstract:
In generally a significant amount of time and effort need to be spent for document writing and
summarizing data. Most of the time people gather few points in their mind and trying to deliver
these point as an article. They plan the entire document based on those few points and structure
it well. Existing softwares simply get the document title from user and generate few sentences
which contain a lot of limitations. They fail to gather what user exactly trying to add to the
document. They blindly generate random text and most of them are not useful for the users.
Therefore, this research area has not been successfully addressed yet.
The project mainly focuses on developing a Large document generation tool, using A Text-toKnowledge-to-Text Approach in Natural Language Generation (NLG). Which would
understand input of the users and plan the large document content based on user inputs. The
main objective of this is to overcome the above mentioned issue of the existing content
generation tools and to develop a tool which would feel like written by a human. Using this
tool user can plan the content of each paragraphs and only generate the content what they
expected. To reduce, the unpredictable input from users the proposed system uses Attempto
Controlled English (ACE), which is a controlled natural language (CNL). The major advantage
of this tool is, it could be used by anyone who willing to write. They don’t have proper domain
knowledge about the subject, since all the knowledge based handle by the system itself. User
only need to add few points what should include in each paragraph of the large document.
Based on the experts feedback and evaluation questionnaire, it was positive feedback.
Therefore, this tool is highly useful for the target audience and the project can be considered
as successful.
