假装是我
发表于 2025-3-25 05:05:08
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OMIT
发表于 2025-3-25 11:00:01
Improving German Image Captions Using Machine Translation and Transfer Learninguage processing. In addition, most of the work in this domain addresses the English language because of the high availability of annotated training data compared to other languages. Therefore, we investigate methods for image captioning in German that transfer knowledge from English training data. W
罗盘
发表于 2025-3-25 14:57:10
Automatic News Article Generation from Legislative Proceedings: A Phenom-Based Approachts, weather, financial reporting and similar domains with highly structured, well defined tabular data sources. Other domains such as local reporting have not seen adoption of algorithmic journalism, and thus no automated reporting systems are available in these categories which can have important i
唤醒
发表于 2025-3-25 18:23:29
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含糊其辞
发表于 2025-3-25 20:08:04
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HUMID
发表于 2025-3-26 00:17:13
Robustness of Named Entity Recognition: Case of LatvianHowever, when the NER model faces ungrammatical text, it often shows poor performance. In this study, we analyze NER performance on datasets containing errors typical for user-generated texts in the Latvian language. We explore three different strategies to increase the robustness of the named entit
广告
发表于 2025-3-26 08:12:06
Use of Speaker Metadata for Improving Automatic Pronunciation Assessmentr is able to replicate said reference is decided by an assessor who perceives the identity of the sounds produced. It is known that the assessor has a bias caused by the perception of the speaker, hence the definition of a standard for L2 pronunciation is crucial in a formal assessment. In Computer
Morsel
发表于 2025-3-26 09:50:27
Augmenting ASR for User-Generated Videos with Semi-supervised Training and Acoustic Model Adaptationiverse user-generated videos in the task of spoken content retrieval (SCR). Previous work has successfully applied semi-supervised training in single domain ASR tasks. Our focus is on the exploration of the effective use of semi-supervised training of ASR systems for transcription of the spoken cont
召集
发表于 2025-3-26 13:55:10
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沙漠
发表于 2025-3-26 17:49:44
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