User Study for Measuring Linguistic Complexity and its Reduction by Technology on a Patent Website

Date

2017

Authors

Suominen, Hanna
Ferraro, Gabriela
Nualart, Jaume
Hanlen, Leif

Journal Title

Journal ISSN

Volume Title

Publisher

International Conference on Machine Learning

Abstract

Clarity of language improves efficiency and reduces misunderstanding. In written text, it is measured by readability and with patent documents, this readability is known to be particularly poor in the case of layperson-users without specialized knowledge in this subject. Here we introduce a 46-question survey, founded sociotechnical theories of information technology (IT) use and users, to measure linguistic complexity and its reduction by IT on a patent website. 65 participants have taken the survey and their responses indicate that the patent language is complex for laypeople but reducible by IT that processes long claims sections and sentences; claim words with a specific meaning; the claim dependency structure; and patent classification codes. Supplementing current patent websites with these reading aids could unlock their valuable information to the general public.

Description

Keywords

Citation

Source

Type

Conference paper

Book Title

Proceedings of Machine Learning Research

Entity type

Access Statement

Free Access via publisher site

License Rights

DOI

Restricted until

2099-12-31