Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/135529


Title: Numeral Attachment with Auxiliary Tasks
Authors: 黃瀚萱
Huang, Hen-Hsen
Chen, Chung-Chi
Chen, Hsin-Hsi
Contributors: 資科系
Keywords: numeral attachment;numeral representation;joint learning
Date: 2019-07
Issue Date: 2021-06-04 14:43:50 (UTC+8)
Abstract: 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
Relation: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Association for Computing Machinery, pp.1161-1164
Data Type: conference
DOI 連結: https://doi.org/10.1145/3331184.3331361
Appears in Collections:[資訊科學系] 會議論文

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