Extraction of Key Expressions Indicating the Important Sentence from Article Abstracts

Abstract

In this study, we aim to extract key expressions that indicate the important sentence describing the originalities or contributions from article abstracts. The expense of searching academic information increases because of increases in the number of articles, discipline subdivisions, and promotion of interdisciplinary research. Improving the extraction and presentation of the main points from article abstracts will contribute to reducing academic information search expenses. We extracted pseudo-important sentences from each article abstract based on the ratio of the number of words in the identified sentence that appear in the article title to the number of all words in the sentence. After that, we evaluated the ratio of the number of the pseudo-important sentences including each Ngram to the number of all sentences including that N-gram. We then extracted the N-grams with a ratio as high as the key expressions.

Automatic Detection of Answers to Research Questions from Medline Abstracts

“…This component uses the sentences that belong to the result or conclusion sections of abstracts (claim zone) to identify the most informative sentence(s) to a given query. It relies on three assumptions, two from the literature (Lin et al, 2008;Ruch et al, 2007;Lin et al, 2009;Otani and Tomiura, 2014) and the last one that is conventional: the first assumption is that any sentence in abstract that shares many words with the title tends to express important information about the topic. The second is that any sentence that applies the first assumption within certain threshold and exist in the result and conclusion sections is considered as a key sentence concerning the research topic.…”

Proceedings of BioNLP 15

“…It relies on three assumptions, two from the literature (Lin et al, 2008;Ruch et al, 2007;Lin et al, 2009;Otani and Tomiura, 2014) and the last one that is conventional: the first assumption is that any sentence in abstract that shares many words with the title tends to express important information about the topic. The second is that any sentence that applies the first assumption within certain threshold and exist in the result and conclusion sections is considered as a key sentence concerning the research topic.…”