We describe ongoing work in semi-automatic annotating corpus, with the goal to answer "why" question in question answering system and give a construction of the coherent...
This paper presents a new corpus of human answers in natural language. The answers were collected in order to build a base of examples useful when generating natural language answ...
We present a series of experiments to demonstrate the validity of Relative Utility (RU) as a measure for evaluating extractive summarizers. RU is applicable in both singledocument...
Question answering (QA) systems aim at retrieving precise information from a large collection of documents. To be considered as reliable by users, a QA system must provide element...
This paper summarizes the annotation of fine-grained entailment relationships in the context of student answers to science assessment questions. We annotated a corpus of 15,357 an...
Rodney D. Nielsen, Wayne Ward, James Martin, Marth...