Sentence examples for reference summaries from inspiring English sources

Countmatch(gramn) represents the number of n-grams co-occurring in a candidate and the reference summaries, and Count (gramn) represents the number of n-grams in the reference summaries.

ROUGE-N is an n-gram recall between a candidate summary and a set of reference summaries.

At training time, our model is directly trained on reference summaries generated by human, eliminating the need for sentence-level extractive labels.

Other methods for summary evaluation include automatic comparison to some reference summaries (a method inspired from text summarization literature [27]), where the comparison of the produced summary is performed towards a user-generated summary of the video [16, 19, 28].

ROUGE-N=frac{{displaystyle sum_{Seleft{ ReferenceSummariesright}}{displaystyle sum_{gra{m}_neS} Coun{t}_{match}left(gra{m}_nright)}}}{{displaystyle sum_{Seleft{ ReferenceSummariesright}}{displaystyle sum_{gra{m}_neS} Coun tleft(gra{m}_nright)}}} (8 where n represents the length of the n-gram, and ref represents the reference summaries.

Finally, given clinicians report their lack of time as a factor affecting the uptake of web-based tools (Bates et al, 2003; Hains et al, 2009, 2010), features such as clarity of presentation, quick reference summaries alongside guidelines, advice on implementing treatment (protocols), and easy-to-locate resources observed across the eight websites, suggests they are ideal for point-of-care use.

Reference summary: that will be used to compare their contents to our proposed summary.

and T is the set of terms presented in reference summary.

In this section, we detail our experimental setup, including how we sample tweets, conversations dataset, reference summary and how we evaluate relating individual tweets to their contexts.

For each term t (in ) T, (f_{T}(t)) represents the frequency of occurrence of t in reference summary and (f_{S}(t)) its frequency of occurrence in the proposed summary.

In order to create a reference summary, we conduct a pilot study to construct an editorial dataset generated by a set of assessors that can be useful to evaluate our results.