A study for extraction and selection of chemical substance name in patent publ ication

Abstract

The chemical substance names described in the patent publications have various descriptions and the description of the name depends on the author. Such variation causes hindering information sharing. Auto-extraction of chemical substance names is useful for information sharing. In order to extract the names of chemical substances in Japanese, we created a corpus tagged with chemical substance names. Next, we studied cutting out words from sentences, concatenating cut-out words and taking out only chemical substance names from cut-out words. We also made a selection comparison between chemical substance names and functional group names that are similar to chemical substance names.