ダウンロード数: 96
このアイテムのファイル:
| ファイル | 記述 | サイズ | フォーマット | |
|---|---|---|---|---|
| s42979-022-01176-z.pdf | 5.41 MB | Adobe PDF | 見る/開く |
| タイトル: | Information Extraction from Public Meeting Articles |
| 著者: | Virgo, Giovanni Felix Chu, Chenhui    https://orcid.org/0000-0001-9848-6384 (unconfirmed)Ogawa, Takaya Tanaka, Koji Ashihara, Kazuki Nakashima, Yuta Takemura, Noriko Nagahara, Hajime Fujikawa, Takao |
| キーワード: | Information extraction Historical newspaper Corpus construction Public meeting |
| 発行日: | May-2022 |
| 出版者: | Springer Nature |
| 誌名: | SN Computer Science |
| 巻: | 3 |
| 論文番号: | 285 |
| 抄録: | Public meeting articles are the key to understanding the history of public opinion and public sphere in Australia. Information extraction from public meeting articles can obtain new insights into Australian history. In this paper, we create an information extraction dataset in the public meeting domain. We manually annotate the date and time, place, purpose, people who requested the meeting, people who convened the meeting, and people who were convened of 1258 public meeting articles. We further present an information extraction system, which formulates information extraction from public meeting articles as a machine reading comprehension task. Experiments indicate that our system can achieve an F1 score of 74.98% for information extraction from public meeting articles. |
| 著作権等: | This is a post-peer-review, pre-copyedit version of an article published in 'SN Computer Science'. The final authenticated version is available online at: https://doi.org/10.1007/s42979-022-01176-z. The full-text file will be made open to the public on 12 May 2023 in accordance with publisher's 'Terms and Conditions for Self-Archiving' This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。 |
| URI: | http://hdl.handle.net/2433/276678 |
| DOI(出版社版): | 10.1007/s42979-022-01176-z |
| 出現コレクション: | 学術雑誌掲載論文等 |
このリポジトリに保管されているアイテムはすべて著作権により保護されています。