ChemTables: a dataset for semantic classification on tables in chemical patents.

ABSTRACT: Chemical patents are a commonly used channel for disclosing novel compounds and reactions, and hence represent important resources for chemical and pharmaceutical research. Key chemical data in patents is often presented in tables. Both the number and the size of tables can be very large in patent documents. In addition, various types of information can be presented in tables in patents, including spectroscopic and physical data, or pharmacological use and effects of chemicals. Since images of Markush structures and merged cells are commonly used in these tables, their structure also shows substantial variation. This heterogeneity in content and structure of tables in chemical patents makes relevant information difficult to find. We therefore propose a new text mining task of automatically

SUBMITTER: Zhai Z 

PROVIDER: S-EPMC8665561 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature