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Comparative evaluation of boundary-relaxed annotation for Entity Linking performance
http://hdl.handle.net/10061/0002000982
http://hdl.handle.net/10061/0002000982ab7d0c60-f6dd-4f6e-8281-e77a02c3aca1
| アイテムタイプ | 会議発表論文 / Conference Paper(1) | |||||||||||||||||||
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| 公開日 | 2025-06-04 | |||||||||||||||||||
| タイトル | ||||||||||||||||||||
| タイトル | Comparative evaluation of boundary-relaxed annotation for Entity Linking performance | |||||||||||||||||||
| 言語 | ||||||||||||||||||||
| 言語 | eng | |||||||||||||||||||
| 資源タイプ | ||||||||||||||||||||
| 資源タイプ | conference paper | |||||||||||||||||||
| アクセス権 | ||||||||||||||||||||
| アクセス権 | open access | |||||||||||||||||||
| 著者 |
Herman Bernardim Andrade, Gabriel
× Herman Bernardim Andrade, Gabriel
× 矢田, 竣太郎
× 荒牧, 英治
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| 抄録 | ||||||||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||||||||
| 内容記述 | Entity Linking performance has a strong reliance on having a large quantity of high-quality annotated training data available. Yet, manual annotation of named entities, especially their boundaries, is ambiguous, error-prone, and raises many inconsistencies between annotators. While imprecise boundary annotation can degrade a model’s performance, there are applications where accurate extraction of entities’ surface form is not necessary. For those cases, a lenient annotation guideline could relieve the annotators’ workload and speed up the process. This paper presents a case study designed to verify the feasibility of such annotation process and evaluate the impact of boundary-relaxed annotation in an Entity Linking pipeline. We first generate a set of noisy versions of the widely used AIDA CoNLL-YAGO dataset by expanding the boundaries subsets of annotated entity mentions and then train three Entity Linking models on this data and evaluate the relative impact of imprecise annotation on entity recognition and disambiguation performances. We demonstrate that the magnitude of effects caused by noise in the Named Entity Recognition phase is dependent on both model complexity and noise ratio, while Entity Disambiguation components are susceptible to entity boundary imprecision due to strong vocabulary dependency. | |||||||||||||||||||
| 書誌情報 |
en : Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics 巻 1, p. 8238-8253, 発行日 2023-07-12 |
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| 会議情報 | ||||||||||||||||||||
| 会議名 | The 61st Annual Meeting of the Association for Computational Linguistics (ACL'23) | |||||||||||||||||||
| 主催機関 | Association for Computational Linguistics | |||||||||||||||||||
| 開始年 | 2023 | |||||||||||||||||||
| 開始月 | 07 | |||||||||||||||||||
| 開始日 | 09 | |||||||||||||||||||
| 終了年 | 2023 | |||||||||||||||||||
| 終了月 | 07 | |||||||||||||||||||
| 終了日 | 14 | |||||||||||||||||||
| 開催会場 | the Westin Harbour Castle, Toronto | |||||||||||||||||||
| 開催地 | Toronto, Canada | |||||||||||||||||||
| 開催国 | CAN | |||||||||||||||||||
| 出版者 | ||||||||||||||||||||
| 出版者 | Association for Computational Linguistics | |||||||||||||||||||
| 出版者版DOI | ||||||||||||||||||||
| 関連タイプ | isReplacedBy | |||||||||||||||||||
| 識別子タイプ | DOI | |||||||||||||||||||
| 関連識別子 | https://doi.org/10.18653/v1/2023.acl-long.458 | |||||||||||||||||||
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| 関連タイプ | isReplacedBy | |||||||||||||||||||
| 識別子タイプ | URI | |||||||||||||||||||
| 関連識別子 | https://aclanthology.org/2023.acl-long.458/ | |||||||||||||||||||
| 権利 | ||||||||||||||||||||
| 権利情報Resource | https://creativecommons.org/licenses/by/4.0/ | |||||||||||||||||||
| 権利情報 | $00A92023 Association for Computational Linguistics | |||||||||||||||||||
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| 出版タイプ | NA | |||||||||||||||||||
| 助成情報 | ||||||||||||||||||||
| 助成機関名 | Japan Science and Technology Agency(JST), CREST | |||||||||||||||||||
| 研究課題番号 | JPMJCR22N1 | |||||||||||||||||||
| 研究課題名 | リアルワールドテキスト処理の深化によるデータ駆動型探薬 | |||||||||||||||||||
| 助成情報 | ||||||||||||||||||||
| 助成機関名 | The Japan Society for the Promotion of Science (JSPS), KAKENHI | |||||||||||||||||||
| 研究課題番号 | JP19H01118 | |||||||||||||||||||
| 研究課題名 | 常識的知識を活用した言語理解・推論に基づく議論マイニングの新展開 | |||||||||||||||||||
