Building a Question Answering Dataset: A Unique Approach

In this article, the authors propose a novel approach to building final documents from Wikipedia articles. The key innovation is the use of consistent contexts to ensure that each document contains a minimum amount of necessary information for meaningful dialog while preventing excessively long documents. The proposed method involves selecting two bounds for document lengths and appointing a human annotator to curate the content of each section to ensure consistency.
The authors begin by explaining the importance of consistent contexts in building final documents. They emphasize that the document provider plays a crucial role in this process, as they must carefully oversee the content of each section to ensure consistency. The article highlights the unique approach taken by the authors, which involves differentiating between abstract and other sections and selecting the next two sections based on semantic compatibility with the subject of the current section.
The authors then provide an example involving the Wikipedia page for "Canada" to illustrate their method. They show how the document provider selects the "Education System" section as S11, followed by the "Economy" and "Culture" sections, which are semantically consistent with the subject of "Education System." The final document is composed by concatenating these three selected sections.
The authors highlight that their approach differs from previous methods in selecting the initial portion of each article as the final document. Instead, they take a more comprehensive approach by considering the entire article and selecting sections based on consistency and relevance. This ensures that the final document contains a balanced amount of information, rather than focusing solely on the abstract or introductory section.
In addition, the authors emphasize the importance of demystifying complex concepts by using everyday language and engaging metaphors or analogies to capture the essence of the article without oversimplifying. They argue that this approach helps to make the content more accessible and easier to understand for a wider audience.
Overall, the authors’ proposed method for building final documents from Wikipedia articles offers a unique and effective approach to ensuring consistency and relevance in the resulting documents. By leveraging the power of human annotation and a careful selection process, the authors demonstrate that it is possible to create coherent and informative final documents without sacrificing accuracy or comprehensiveness.