標(biāo)題: Titlebook: Natural Language Processing and Chinese Computing; 12th National CCF Co Fei Liu,Nan Duan,Yu Hong Conference proceedings 2023 The Editor(s) [打印本頁(yè)] 作者: Taft 時(shí)間: 2025-3-21 17:25
書目名稱Natural Language Processing and Chinese Computing影響因子(影響力)
書目名稱Natural Language Processing and Chinese Computing影響因子(影響力)學(xué)科排名
書目名稱Natural Language Processing and Chinese Computing網(wǎng)絡(luò)公開(kāi)度
書目名稱Natural Language Processing and Chinese Computing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書目名稱Natural Language Processing and Chinese Computing被引頻次
書目名稱Natural Language Processing and Chinese Computing被引頻次學(xué)科排名
書目名稱Natural Language Processing and Chinese Computing年度引用
書目名稱Natural Language Processing and Chinese Computing年度引用學(xué)科排名
書目名稱Natural Language Processing and Chinese Computing讀者反饋
書目名稱Natural Language Processing and Chinese Computing讀者反饋學(xué)科排名
作者: 窩轉(zhuǎn)脊椎動(dòng)物 時(shí)間: 2025-3-21 21:22 作者: Panther 時(shí)間: 2025-3-22 02:23
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/n/image/661812.jpg作者: abstemious 時(shí)間: 2025-3-22 06:53
https://doi.org/10.1007/978-3-031-44699-3Business intelligence; Big data; Intelligent applications; Chinese Computing; Natural Language Processin作者: cortex 時(shí)間: 2025-3-22 11:49
Conference proceedings 2023edge?graph; machine?learning for NLP; machine?translation and?multilinguality; multimodality and?explainability;?NLP?applications and?text?mining; question?answering; large?language?models; summarization and?generation; student?workshop; and evaluation?workshop..作者: septicemia 時(shí)間: 2025-3-22 13:53
Semantic Candidate Retrieval for?Few-Shot Entity Linkingto the mentions are selected by inverted indexing, and then, the semantic ranker is proposed to choose the top appropriate candidate to be linked. The proposed model achieves the accuracy of 53.19% in the shared task 6 of NLPCC-2023.作者: 兒童 時(shí)間: 2025-3-22 18:10 作者: 不再流行 時(shí)間: 2025-3-22 22:49 作者: Brain-Waves 時(shí)間: 2025-3-23 04:50 作者: hidebound 時(shí)間: 2025-3-23 08:55 作者: CULP 時(shí)間: 2025-3-23 10:57
ERNIE-AT-CEL: A Chinese Few-Shot Emerging Entity Linking Model Based on?ERNIE and?Adversarial Traini6 (Chinese Few-shot and Zero-shot Entity Linking). Experimental results demonstrate that the model has high predictive performance and robustness in the Chinese few-shot emerging entity linking task, providing reference and inspiration for research and practice in related fields.作者: 叢林 時(shí)間: 2025-3-23 16:54
Enhanced CGSN System for Machine Reading Comprehensionl information in scientific texts, as well as the evidence memory network to further alleviate the redundancy issues by saving the selected result in the previous steps. Experiments show that our proposed model performs well on datasets released by NLPCC 2023, and our approach ranks 1. for SMRC Task 2 according to the official results.作者: 感情脆弱 時(shí)間: 2025-3-23 21:39 作者: organism 時(shí)間: 2025-3-24 01:45 作者: 暴行 時(shí)間: 2025-3-24 04:53
Fantastic Gradients and?Where to?Find Them: Improving Multi-attribute Text Style Transfer by?Quadratethod can effectively improve the multi-attribute-transfer accuracy and quality without compromising single attribute performance. Moreover, our method can be readily integrated with pre-trained auto-encoders, providing an effective and scalable solution for multi-attribute scenarios.作者: 樹木心 時(shí)間: 2025-3-24 09:00
A Study on?the?Classification of?Chinese Medicine Records Using BERT, Chest Impediment as?an?Examplestopwords removing of TCM cases, which improved 0.087 compared with no TCM stopwords removing. This paper introduces natural language processing into the TCM auxiliary diagnosis problem, in order to improve the informationization, standardization and intelligence of TCM in the new era.作者: 材料等 時(shí)間: 2025-3-24 13:09 作者: Talkative 時(shí)間: 2025-3-24 15:30 作者: 創(chuàng)作 時(shí)間: 2025-3-24 20:31 作者: CARK 時(shí)間: 2025-3-24 23:40 作者: 出汗 時(shí)間: 2025-3-25 03:22
Consistent Solutions for?Optimizing Search Space of?Beam Searchtail about how consistent solutions training affects the work process of beam search. In addition, we found significant differences between models trained using consistent solutions and those trained without consistent solutions, so the model ensemble technique is applied to improve model performanc作者: opalescence 時(shí)間: 2025-3-25 09:07 作者: 催眠藥 時(shí)間: 2025-3-25 13:01
aspects of which are also discussed in this thorough text. The reader is provided with a good understanding of the complex influences on each seed traced through from initial development to germination stage regarding germination preparation and subsequent survival.978-3-642-75700-6978-3-642-75698-6Series ISSN 1430-9432 作者: echnic 時(shí)間: 2025-3-25 17:23 作者: 大罵 時(shí)間: 2025-3-25 20:50
Jialei Chen,Weihua Wang,Shuai Shaoamong vegetarian diets are avoided through balancing legume and cereal seeds as sources of dietary proteins. Understanding seed proteins, in order to improve their composition and properties and to increase their concentrations, will thus continue to be an important research objective for the future作者: 星球的光亮度 時(shí)間: 2025-3-26 00:30
Xiao Zhang,Heqi Zheng,Yuxiang Nie,Xian-Ling Mao diseases that affect crop performance, particularly during the early vegetative stage resulting in poor seed emergence, crop establishment and vegetative growth. Selection of . appropriate and cost-effective technologies is important in accruing the best results from seed enhancement.作者: needle 時(shí)間: 2025-3-26 05:22 作者: 猛然一拉 時(shí)間: 2025-3-26 09:12 作者: Cumulus 時(shí)間: 2025-3-26 13:37
Jie Yao,Zihao Zhou,Qiufeng Wangd organizations. Paul Neergaard made great contribution in the development of seed pathology, and hence he is considered as the father of seed pathology. Three primary organizations publish standardized seed health testing methods, and these are the International Seed Testing Association (ISTA), the作者: brother 時(shí)間: 2025-3-26 18:35 作者: Schlemms-Canal 時(shí)間: 2025-3-26 23:56
Qian Qu,Jian Wang,Kexin Yang,Hang Zhang,Jiancheng Lv作者: 比目魚 時(shí)間: 2025-3-27 02:50
Baoxin Wang,Ziyue Wang,Wanxiang Che,Dayong Wu,Rui Zhang,Bo Wang,Shijin Wang作者: 星星 時(shí)間: 2025-3-27 05:49
He Chen,Donghong Qin,Xiaoyan Zhang,Hui Zhang,Xiao Liang作者: 長(zhǎng)矛 時(shí)間: 2025-3-27 12:49 作者: addition 時(shí)間: 2025-3-27 13:55
sert plant species seed dispersal and subsequent germination in the optimum time an place place are particularly critical parameters. Discussed here are the ways and means by which desert plants have adapted through the course of evolution to their extreme environment. Two such strategies which have作者: 美麗的寫 時(shí)間: 2025-3-27 20:27
ore, in desert plant species seed dispersal and subsequent germination in the optimum time an place place are particularly critical parameters. Discussed here are the ways and means by which desert plants have adapted through the course of evolution to their extreme environment. Two such strategies 作者: 橡子 時(shí)間: 2025-3-27 23:12 作者: DEFER 時(shí)間: 2025-3-28 03:00 作者: Isolate 時(shí)間: 2025-3-28 06:24
Xiao Zhang,Heqi Zheng,Yuxiang Nie,Xian-Ling Maoty, has assumed greater importance. Every care is taken not only to produce high-quality seeds and maintain the same through various stages of production, from growing conditions of the seed crop to pre-harvest, harvest, processing and storage activities, but also to adopt certain technologies to fu作者: 換話題 時(shí)間: 2025-3-28 14:05 作者: 褲子 時(shí)間: 2025-3-28 16:08 作者: 凝結(jié)劑 時(shí)間: 2025-3-28 20:22 作者: 動(dòng)脈 時(shí)間: 2025-3-29 01:07 作者: 旁觀者 時(shí)間: 2025-3-29 06:38
Fantastic Gradients and?Where to?Find Them: Improving Multi-attribute Text Style Transfer by?Quadratolves editing the latent representations of text, guided by gradients from an attribute classifier. However, in multi-attribute TST, the simultaneous satisfaction of all required attributes remains challenging. In this paper, we unveil that the gradient direction during editing might conflict with c作者: 暫時(shí)休息 時(shí)間: 2025-3-29 09:14 作者: 入會(huì) 時(shí)間: 2025-3-29 13:45 作者: Entropion 時(shí)間: 2025-3-29 19:22
Semantic Candidate Retrieval for?Few-Shot Entity Linking exhibit the great performances on the standard datasets, but in real-world applications, they are computationally intensive and expensive in large-scale processing, and the entity entries are limited to the knowledge bases. The newly-emerging entities may hinder the generalization ability of the EL作者: 不連貫 時(shí)間: 2025-3-29 21:09
ERNIE-AT-CEL: A Chinese Few-Shot Emerging Entity Linking Model Based on?ERNIE and?Adversarial Trainiodel and achieves accurate linking of Chinese few-shot emerging entities by adding adversarial perturbations during the training process. Experimental results on standard entity linking evaluation datasets demonstrate significant performance improvements of our proposed model compared to baseline mo作者: 音的強(qiáng)弱 時(shí)間: 2025-3-30 01:25
HWCGEC:HW-TSC’s 2023 Submission for?the?NLPCC2023’s Chinese Grammatical Error Correction Taskalled HWCGEC which get the best performance among the seven submitted results in the NLPCC2023 shared task 1, namely Chinese grammatical error correction (CGEC). CGEC aims to automatically correct grammatical errors that violate language rules and converts the noisy input texts to clean output texts作者: 小卒 時(shí)間: 2025-3-30 08:07 作者: NEG 時(shí)間: 2025-3-30 09:47
Enhanced CGSN System for Machine Reading Comprehensionne Reading Comprehension. This task requires participants to develop a reading comprehension model based on state-of-the-art Natural Language Processing (NLP) and deep learning techniques to extract word sequences or sentences from the given scientific texts as answers to relevant questions. In resp作者: ARM 時(shí)間: 2025-3-30 13:58
Scientific Reading Comprehension with?Sentences Selection and?Rankingthods trend to answer the question using Transformer-based models. However, in the scientific domain, the original text is longer than the general domain. In this paper, we proposed a model that consists of a content retrieval module and a pre-trained model module. The content retrieval module finds作者: delusion 時(shí)間: 2025-3-30 19:24 作者: 盤旋 時(shí)間: 2025-3-30 20:45 作者: Presbycusis 時(shí)間: 2025-3-31 02:11
Solving Math Word Problem with?Problem Type Classificationng MWPs with two types of solvers: tree-based solver and large language model (LLM) solver. However, these approaches always solve MWPs by a single solver, which will bring the following problems: (1) Single type of solver is hard to solve all types of MWPs well. (2) A single solver will result in p作者: 我還要背著他 時(shí)間: 2025-3-31 07:58
Consistent Solutions for?Optimizing Search Space of?Beam Searchiety of reasoning tasks. Still, due to the demand for low costs, research on the upper bound of small language models in reasoning tasks and the limitation of the knowledge they can accommodate has drawn attention. In line with previous work on math word problems, we discover that models that only l
