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Toward the automatic extraction of knowledge of usable goods
2016
Pacific Asia Conference on Language, Information and Computation
Knowledge of usable goods (e.g., toothbrush is used to clean the teeth and treadmill is used for exercise) is ubiquitous and in constant demand. This study proposes semantic labels to capture aspects of knowledge of usable goods and builds a benchmark corpus, Usable Goods Corpus, to explore this new semantic labeling task. Our human annotation experiment shows that human annotators can generally identify pieces of information of usable goods in text. Our first attempt toward the automatic
dblp:conf/paclic/UemuraOOI16
fatcat:jjghforphfh2pl5fdurd5bsw3y