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The contextualized embedding layer is designed to capture the dynamic word sense. Besides, the novel AO ({<jats:underline>A<\/jats:underline>spect, <jats:underline>O<\/jats:underline>utside}) tags are proposed as the less challenging tagging scheme. A lot of experiments have been performed on three widely used datasets. These experiments demonstrate that the proposed IANN acquires state-of-the-art results and validate that the proposed IANN is a powerful method for the ATE task.<\/jats:p>","DOI":"10.1007\/s40747-022-00818-2","type":"journal-article","created":{"date-parts":[[2022,7,22]],"date-time":"2022-07-22T08:06:02Z","timestamp":1658477162000},"page":"537-563","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Aspect term extraction via information-augmented neural network"],"prefix":"10.1007","volume":"9","author":[{"given":"Ning","family":"Liu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1040-1575","authenticated-orcid":false,"given":"Bo","family":"Shen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,7,22]]},"reference":[{"key":"818_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ins.2019.11.048","volume":"513","author":"J Zhou","year":"2020","unstructured":"Zhou J, Chen Q, Huang JX et al (2020) Position-aware hierarchical transfer model for aspect-level sentiment classification. 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