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] 作者: Madison 時(shí)間: 2025-3-21 18:06
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)公開度
書目名稱Natural Language Processing and Chinese Computing網(wǎng)絡(luò)公開度學(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: Mundane 時(shí)間: 2025-3-21 21:49
Natural Language Processing and Chinese Computing978-3-031-44696-2Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Psa617 時(shí)間: 2025-3-22 02:18
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/n/image/661806.jpg作者: Indicative 時(shí)間: 2025-3-22 08:36 作者: 挖掘 時(shí)間: 2025-3-22 08:45 作者: Affirm 時(shí)間: 2025-3-22 14:12 作者: Evolve 時(shí)間: 2025-3-22 18:33 作者: 值得尊敬 時(shí)間: 2025-3-23 01:00
0302-9743 ining; question?answering; large?language?models; summarization and?generation; student?workshop; and evaluation?workshop..978-3-031-44695-5978-3-031-44696-2Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: creditor 時(shí)間: 2025-3-23 04:19 作者: 數(shù)量 時(shí)間: 2025-3-23 08:28
Joint Cross-Domain and?Cross-Lingual Adaptation for?Chinese Opinion Element Extractionrectly. Finally, we design a uniform architecture to incorporate cross-domain and cross-lingual transfer jointly. Experimental results demonstrate that cross-domain and cross-lingual transfers can both deliver impressive performance, and their combination can increase the performance even further.作者: definition 時(shí)間: 2025-3-23 11:14 作者: FLAIL 時(shí)間: 2025-3-23 14:15
Research on Named Entity Recognition Based on Bidirectional Pointer Network and Label Knowledge Enhalid entity and explosion of entity fragment quantity. In addition, we also fully integrate the label knowledge into the model to improve the effect of the model. We conducted extensive experiments on the ACE2004 dataset and achieved better results than most existing named entity recognition models.作者: 合唱隊(duì) 時(shí)間: 2025-3-23 21:04 作者: 注視 時(shí)間: 2025-3-24 00:14 作者: Presbycusis 時(shí)間: 2025-3-24 06:08 作者: Sinus-Node 時(shí)間: 2025-3-24 07:04 作者: 諂媚于人 時(shí)間: 2025-3-24 13:05 作者: 使痛苦 時(shí)間: 2025-3-24 16:49 作者: 改正 時(shí)間: 2025-3-24 22:13
Dual Hierarchical Contrastive Learning for?Multi-level Implicit Discourse Relation Recognitionth each other, making the similarity between arguments and correlative fine-grained labels are higher than that with related coarse-grained labels. In this process, the multi-level label semantics are integrated to arguments, which provides guidance for classification. Experimental results show that作者: intoxicate 時(shí)間: 2025-3-25 02:31 作者: Cuisine 時(shí)間: 2025-3-25 04:52
A Multi-granularity Similarity Enhanced Model for?Implicit Event Argument Extractionentence-level enhancement makes the model concentrate more on effective content. Experimental results on RAMS and WikiEvents demonstrate that our proposed model can obtain state-of-the-art performance in Implicit EAE.作者: 左右連貫 時(shí)間: 2025-3-25 09:39 作者: babble 時(shí)間: 2025-3-25 14:48
Dual-Prompting Interaction with?Entity Representation Enhancement for?Event Argument Extractionemployed to predict the start and end word among the input for each role. In addition, DPIERE devises position marks in event prompt template to distinguish multiple occurrences of the same argument role. Comprehensive experimental results on three benchmarks show the effectiveness of our proposed a作者: 心神不寧 時(shí)間: 2025-3-25 16:44 作者: Wordlist 時(shí)間: 2025-3-25 21:34
Coarse-to-Fine Entity Representations for?Document-Level Relation Extractionas a guidance to selectively aggregate path information between the target entity pair at a fine level. In classification, we combine the entity representations from both two levels into more comprehensive representations for relation extraction. Experimental results on two document-level RE dataset作者: 過多 時(shí)間: 2025-3-26 04:02 作者: Aphorism 時(shí)間: 2025-3-26 05:11
Sheng Li,Rong Yan,Qing Wang,Juru Zeng,Xun Zhu,Yueke Liu,Henghua Li作者: adroit 時(shí)間: 2025-3-26 08:49 作者: 貿(mào)易 時(shí)間: 2025-3-26 14:51
Jing Xu,Ruifang He,Haodong Zhao,Huijie Wang,Lei Zeng作者: Proclaim 時(shí)間: 2025-3-26 20:06 作者: breadth 時(shí)間: 2025-3-26 21:53
Yanhe Fu,Yi Liu,Yanan Cao,Yubing Ren,Qingyue Wang,Fang Fang,Cong Cao作者: 指耕作 時(shí)間: 2025-3-27 03:55 作者: 使成核 時(shí)間: 2025-3-27 07:55
Ruifang He,Mengnan Xiao,Jinsong Ma,Junwei Zhang,Haodong Zhao,Shiqi Zhang,Jie Bai作者: 收到 時(shí)間: 2025-3-27 11:49
Damai Dai,Jing Ren,Shuang Zeng,Baobao Chang,Zhifang Sui作者: 人造 時(shí)間: 2025-3-27 15:52
Jiyong Zhou,Chengyu Wang,Junbing Yan,Jianing Wang,Yukang Xie,Jun Huang,Ying Gao作者: Chemotherapy 時(shí)間: 2025-3-27 21:46
,A Benchmark for?Understanding Dialogue Safety in?Mental Health Support,mies and datasets for detecting explicitly harmful responses. However, these taxonomies may not be suitable for analyzing response safety in mental health support. In real-world interactions, a model response deemed acceptable in casual conversations might have a negligible positive impact on users 作者: 冷淡一切 時(shí)間: 2025-3-28 00:49
Span-Based Pair-Wise Aspect and?Opinion Term Joint Extraction with?Contrastive Learningd corresponding opinion terms (OT) in the review sentences in the form of aspect-opinion pairs (AO), which provides global profiles about products and services for users. Existing methods cannot identify the boundary information of AT and OT precisely. In addition, pairing errors are easily caused i作者: 喃喃訴苦 時(shí)間: 2025-3-28 05:36 作者: 燕麥 時(shí)間: 2025-3-28 07:37 作者: 舊石器 時(shí)間: 2025-3-28 14:05 作者: eardrum 時(shí)間: 2025-3-28 14:51 作者: Nutrient 時(shí)間: 2025-3-28 19:11 作者: Gourmet 時(shí)間: 2025-3-29 01:26 作者: aerobic 時(shí)間: 2025-3-29 03:20
Multi-perspective Feature Fusion for?Event-Event Relation Extractionderstand the relation structure of the event chain in a document. Existing methods mainly focused on single-event relations, such as causality, while only utilizing trigger words or semantic span as model inputs, ignoring the impact of event arguments and contextual features on events. Hence, we pro作者: dapper 時(shí)間: 2025-3-29 09:11 作者: Pantry 時(shí)間: 2025-3-29 14:35
A Relational Classification Network Integrating Multi-scale Semantic Features provide high-quality corpus in fields such as machine translation, structured data generation, knowledge graphs, and semantic question answering. Existing relational classification models include models based on traditional machine learning, models based on deep learning, and models based on attent作者: Melatonin 時(shí)間: 2025-3-29 18:20 作者: 搖晃 時(shí)間: 2025-3-29 21:46 作者: 削減 時(shí)間: 2025-3-30 02:28
Collective Entity Linking with?Joint Subgraphsel correlation of linking decisions between different mentions. In this paper, we propose three ideas: (i) build subgraphs made up of partial mentions instead of those in the entire document to improve computation efficiency, (ii) perform joint disambiguation over context and knowledge base (KB), an作者: 我悲傷 時(shí)間: 2025-3-30 06:26
Coarse-to-Fine Entity Representations for?Document-Level Relation Extractions, usually constructing a document-level graph that captures document-aware interactions, can obtain useful entity representations thus helping tackle document-level RE. These methods either focus more on the entire graph, or pay more attention to a part of the graph, e.g., paths between the target 作者: 蹣跚 時(shí)間: 2025-3-30 10:49
Research on Named Entity Recognition Based on Bidirectional Pointer Network and Label Knowledge Enhaks. Currently, most span-based methods utilize sequence labeling to detect entity boundaries. This method may cause too many invalid entities and the number of entity fragments explosion when combining entity boundaries to generate entity fragments. To solve these problems, we propose a model based 作者: Noisome 時(shí)間: 2025-3-30 12:29
UKT: A Unified Knowledgeable Tuning Framework for?Chinese Information Extractionperform poorly due to the lack of fine-grained linguistic and semantic knowledge. In this paper, we propose Unified Knowledgeable Tuning (UKT), a lightweight yet effective framework that is applicable to several recently proposed Chinese IE models based on Transformer. In UKT, both linguistic and se作者: 過度 時(shí)間: 2025-3-30 19:46 作者: Spartan 時(shí)間: 2025-3-30 21:10 作者: integral 時(shí)間: 2025-3-31 01:42
Bioinspired Nanosystems Interacting with the Host Environment: Smart Nanosystems,and iatrogenic-free treatments is demanding a full revision of carrier configuration in drug targeting. This chapter will focus mainly on the smart nanosystems and its applications in targeted drug delivery.作者: Petechiae 時(shí)間: 2025-3-31 07:59
Abhishek Saha,P. Deepu,Saptarshi Basuocomposites can be synthesized at the molecular level by newer methods of synthesis and finally light curing effectively. Titania is superior in many ways than that of silica. Mechanical, chemical, and biological properties of these materials are enhanced than that of materials available in the mark作者: 褲子 時(shí)間: 2025-3-31 11:47 作者: 修飾語 時(shí)間: 2025-3-31 16:36
Bottom-Up Access Control,e opportunity structures. Social capital is the sum of actual or potential resources accruing to the criminal by virtue of his or her position in a hierarchy and in a network. Social capital accumulated by the individual in terms of actual and potential resources, which are accessible because of pro作者: precede 時(shí)間: 2025-3-31 19:15 作者: Brain-Waves 時(shí)間: 2025-3-31 21:40
Power, Politics and Confrontation in Eurasiaeht uns bei diesem Vorhaben vor allem um die Frage, ob das Geld einen besonderen Einflu? auf den Ablauf des Wirtschaftsprozesses hat. Ist das Geld ein zwar notwendiges Tauschmittel, aber ansonsten unwirksamer Schleier über dem realen wirtschaftlichen Geschehen oder h?uft es sich irgendwo im Kreislauf derart an, da? St?rungen entstehen?作者: 積習(xí)難改 時(shí)間: 2025-4-1 05:54 作者: Sad570 時(shí)間: 2025-4-1 09:25
