OVERT 发表于 2025-3-28 18:08:42

Robert Holdstock’s Mythago Woodd over enormous OCR corpora efficiently. Despite progress in OCR, resulting text files still have misrecognised words (or noise for short) which are harming NER performance. In this paper, to handle this challenge, we apply a spelling correction method to noisy versions of a corpus with variable OCR

出来 发表于 2025-3-28 21:46:24

https://doi.org/10.1007/978-3-030-29714-5t-time and end-time). We tested our approach on 61 long NPTEL[.] videos delivered on . domain. Experimentally we find that the topic intervals generated by our system has .83% similarity with the intervals present in the ground truth. Holistic evaluation shows that our approach performs better than

hurricane 发表于 2025-3-29 02:01:06

Haber and the Chemist’s War 1914–18ps which are analyzed for the selection of suitable visualizations. The set of suitable visualizations serves as a user-driven selection of visual representations. Additionally, customization for visual representations provides the means for facilitating the understanding and sense-making of informa

obeisance 发表于 2025-3-29 04:23:51

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allergy 发表于 2025-3-29 08:08:39

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reject 发表于 2025-3-29 13:16:09

Jack Williams B.Sc., D.Sc. (Wales)r interests by analyzing user interactions for exhibits on multimedia museum devices. For this, we propose a scoring method based on four features of user operation log data: keyword appearance frequency, keyword transition, media type, and media transition. Finally, we verified and discussed the ef

PANT 发表于 2025-3-29 16:48:36

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发表于 2025-3-29 22:00:12

978-3-030-64451-2Springer Nature Switzerland AG 2020

衍生 发表于 2025-3-30 00:55:20

Robert Holdstock’s Mythago Wood with this challenge, techniques relying on knowledge-graph structures are being advocated. Within such graph-based pipelines, inferring relation types between related scientific concepts is a crucial step. Recently, advanced techniques relying on language models pre-trained on large corpora have be

FOIL 发表于 2025-3-30 06:08:11

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查看完整版本: Titlebook: Digital Libraries at Times of Massive Societal Transition; 22nd International C Emi Ishita,Natalie Lee San Pang,Lihong Zhou Conference proc