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    题名: Numeral Attachment with Auxiliary Tasks
    作者: 黃瀚萱
    Huang, Hen-Hsen
    Chen, Chung-Chi
    Chen, Hsin-Hsi
    贡献者: 資科系
    关键词: numeral attachment;numeral representation;joint learning
    日期: 2019-07
    上传时间: 2021-06-04 14:43:50 (UTC+8)
    摘要: In this paper we propose the task of numeral attachment to detect the attached target of a numeral. Compared with other kinds of named entities, numerals provide richer and more crucial information in some domains. Fine-grained understanding of the information embedded in numerals is a fundamental challenge. We develop NumAttach, a pilot dataset for the proposed task based on tweets. Two main challenges of this task include the informal writing style in tweets and the representation of numerals. To address these challenges, we present an embedding technique that considers word and numeral information simultaneously. Furthermore, we design a joint learning model with the capsule network to accomplish the proposed task. We also release NumAttach to the research community as a resource
    關聯: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Association for Computing Machinery, pp.1161-1164
    数据类型: conference
    DOI 連結: https://doi.org/10.1145/3331184.3331361
    DOI: 10.1145/3331184.3331361
    显示于类别:[資訊科學系] 會議論文

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