作者: choroid 時間: 2025-3-21 22:53 作者: ostensible 時間: 2025-3-22 00:51
P. J. Bickel,F. G?tze,W. R. van Zwetaracter Recognition (OCR), Text-based Visual Question Answering (TextVQA) tasks have a mature basic structure, a transformer-based iterative decoding prediction module. However, there is a problem in the current models: the training process of the model is inconsistent with the inference process. Th作者: 熱情贊揚 時間: 2025-3-22 07:01 作者: incredulity 時間: 2025-3-22 09:40
Jean-Numa Ducange,Elisa Marcobellinspection is the last step of production that still requires a large number of workers. We present the hardware and software design of an automated visual inspection system for pouch battery packs. We have achieved a 4% false alarm rate, 0.7% missing alarm rate, and 3.5 s cycle time on this challeng作者: 過時 時間: 2025-3-22 15:06
On the Role of Scientific Thought,nd insufficient market share. Companies in the fast-moving consumer goods (FMCG) industry must continuously improve their profitability and profitability. In a series of processes such as “production”, “sales” and “new product research and development”, the company‘s efficiency is improved, costs ar作者: 過時 時間: 2025-3-22 21:03
https://doi.org/10.1007/978-94-009-8040-2, the metadata information from different business systems lacks a unified and standardized description method. Mapping data by the manual way greatly reduces the efficiency. Therefore, an automated data mapping method is very necessary. In this paper, we regard data mapping as a text classification作者: Dictation 時間: 2025-3-22 23:10
https://doi.org/10.1007/978-90-481-8764-5n the last decade. Most of the existing studies concentrate on determining the sentiment polarity of the given aspect according to only textual content, while there is little research on multimodal aspect-based sentiment analysis (MABSA) due to the scarcity of datasets consisting of multimodality co作者: canvass 時間: 2025-3-23 02:27
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/229017.jpg作者: Ruptured-Disk 時間: 2025-3-23 09:15 作者: 船員 時間: 2025-3-23 13:35 作者: 莊嚴(yán) 時間: 2025-3-23 17:02
978-3-031-23584-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 滔滔不絕的人 時間: 2025-3-23 21:41 作者: semble 時間: 2025-3-24 01:09
Jean-Numa Ducange,Elisa Marcobellirvice dialogue data, which effectively improves the matching accuracy of the framework. We conduct extensive experiments on CHUZHOU and EIP customer service questioning datasets from KONKA. The result shows that CFTM outperforms baselines across all metrics, achieving a 2.5 improvement in F1-Score a作者: 別炫耀 時間: 2025-3-24 05:22
https://doi.org/10.1007/978-94-009-8040-2ing in business systems. By observing the characteristics of mapping data in business systems, we firstly use FastText to learn word representation containing semantic information, and then adopt the LSTM model to extract features for text classification automatically. Experimental results show that作者: Lobotomy 時間: 2025-3-24 08:49 作者: 樂器演奏者 時間: 2025-3-24 10:54 作者: 分期付款 時間: 2025-3-24 18:33
Automated Data Mapping Based on FastText and LSTM for Business Systemsing in business systems. By observing the characteristics of mapping data in business systems, we firstly use FastText to learn word representation containing semantic information, and then adopt the LSTM model to extract features for text classification automatically. Experimental results show that作者: 混合,攙雜 時間: 2025-3-24 21:44 作者: 巨頭 時間: 2025-3-25 03:04
Solving a?Cloze Test for?Generative Commonsense Question Answerings are tackling the answer generation of commonsense questions, which is more difficult than multiple-choice. This motivates us to delve into the answer generation ability of pre-trained language models (PLMs). Other than utilizing knowledge bases to extract commonsense-related knowledge to answer co作者: 平淡而無味 時間: 2025-3-25 04:18
A Scheduled Mask Method for?TextVQAaracter Recognition (OCR), Text-based Visual Question Answering (TextVQA) tasks have a mature basic structure, a transformer-based iterative decoding prediction module. However, there is a problem in the current models: the training process of the model is inconsistent with the inference process. Th作者: colostrum 時間: 2025-3-25 11:06
A Coarse-to-Fine Text Matching Framework for?Customer Service Question Answeringre largely based on Deep Neural Networks (DNNs) that are computationally expensive and memory intensive, which hinder their deployment in many real-world scenarios. In addition, the customer service dialogue data is very domain-specific, and it is difficult to achieve a high matching accuracy withou作者: 滑動 時間: 2025-3-25 14:59 作者: indifferent 時間: 2025-3-25 17:29 作者: Lacerate 時間: 2025-3-25 23:21
Automated Data Mapping Based on FastText and LSTM for Business Systems, the metadata information from different business systems lacks a unified and standardized description method. Mapping data by the manual way greatly reduces the efficiency. Therefore, an automated data mapping method is very necessary. In this paper, we regard data mapping as a text classification作者: TAP 時間: 2025-3-26 00:37 作者: 詞匯記憶方法 時間: 2025-3-26 07:28 作者: etiquette 時間: 2025-3-26 11:21
Jean-Numa Ducange,Elisa Marcobellisual inspection system for pouch battery packs. We have achieved a 4% false alarm rate, 0.7% missing alarm rate, and 3.5 s cycle time on this challenging task through well-designed optical hardware and the latest deep learning techniques.作者: white-matter 時間: 2025-3-26 16:04 作者: 易碎 時間: 2025-3-26 18:19
Conference proceedings 2022e conference was held in Honolulu, USA..The 6 full and 2 short papers presented in this volume were carefully reviewed and selected from 17 submissions. The papers cover all aspects of Sensing Intelligence (SIJ as a Service (SlaaS). Cognitive Computing is a sensing-driven computing (SDC) scheme that作者: MENT 時間: 2025-3-26 22:54 作者: 植物群 時間: 2025-3-27 03:28
https://doi.org/10.1007/978-90-481-8764-5 of MABSA. MCPR is a collection of 1.5k product reviews involving clothing and furniture departments, from the e-commercial platform JD.com. After aspect-base sentiment annotation and text-image matching, we obtain 2,719 text-image pairs and 610 distinct aspects in total. It is the first aspect-based multimodal Chinese product review dataset.作者: Calculus 時間: 2025-3-27 09:09
A Scheduled Mask Method for?TextVQAthod, our model can gradually adapt to the situation without the ground truth answer input in the training process. We have verified the effectiveness of our method on the TextVQA dataset and exceeded the performance of other models previously proposed.作者: Spina-Bifida 時間: 2025-3-27 12:32 作者: prolate 時間: 2025-3-27 13:41
S. G. Bobkov,G. P. Chistyakov,F. G?tzeset demonstrate the effectiveness of our proposed method. Our work finds that both MLMs and GLMs are good at masked token prediction and that PLMs have acquired commonsense knowledge through large-corpus pre-training.作者: 緊張過度 時間: 2025-3-27 21:19 作者: 彎曲的人 時間: 2025-3-28 01:26
Solving a?Cloze Test for?Generative Commonsense Question Answeringset demonstrate the effectiveness of our proposed method. Our work finds that both MLMs and GLMs are good at masked token prediction and that PLMs have acquired commonsense knowledge through large-corpus pre-training.作者: Oligarchy 時間: 2025-3-28 05:16 作者: 低三下四之人 時間: 2025-3-28 07:39 作者: 使迷惑 時間: 2025-3-28 12:17
0302-9743 submissions. The papers cover all aspects of Sensing Intelligence (SIJ as a Service (SlaaS). Cognitive Computing is a sensing-driven computing (SDC) scheme that explores and integrates intelligence from all types of senses in various scenarios and solution contexts..978-3-031-23584-9978-3-031-23585-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 聯(lián)想 時間: 2025-3-28 18:16
the present volumes, which are devoted to publication of presentations at the Fourth International Conference on Beam Foil Spectroscopy and Heavy Ion Atomic Physics Symposium. The transition from childhood to adolescence parallels human experience in that diffusion of interests and interactions bey作者: Mediocre 時間: 2025-3-28 21:39 作者: breadth 時間: 2025-3-29 00:54
https://doi.org/10.1007/978-3-322-87288-3Adorno; Avantgarde; Cultural Studies; Intellektuelle; Konsum; Kultur; Medien; Moderne; Sex; Unterhaltungsindu
