標(biāo)題: Titlebook: Natural Language Processing and Chinese Computing; 13th National CCF Co Derek F. Wong,Zhongyu Wei,Muyun Yang Conference proceedings 2025 Th [打印本頁] 作者: radionuclides 時(shí)間: 2025-3-21 19:33
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: Pamphlet 時(shí)間: 2025-3-21 23:32
Natural Language Processing and Chinese Computing978-981-97-9443-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: moribund 時(shí)間: 2025-3-22 01:07 作者: 不理會(huì) 時(shí)間: 2025-3-22 05:11 作者: DENT 時(shí)間: 2025-3-22 09:12 作者: faddish 時(shí)間: 2025-3-22 16:18 作者: 羊齒 時(shí)間: 2025-3-22 20:51 作者: SPASM 時(shí)間: 2025-3-22 23:42 作者: 無能的人 時(shí)間: 2025-3-23 03:59 作者: APNEA 時(shí)間: 2025-3-23 07:53 作者: 自由職業(yè)者 時(shí)間: 2025-3-23 11:20 作者: Implicit 時(shí)間: 2025-3-23 15:26
WConF: Weighted Contrastive Fusion for?Multimodal Sentiment Analysisective unimodal representations to facilitate multimodal fusion, which mainly contain two parts of information: modality-common and modality-specific information. However, previous work does not consider the sentiment span information between different samples during the fusion process. In this pape作者: Kaleidoscope 時(shí)間: 2025-3-23 21:44 作者: Bereavement 時(shí)間: 2025-3-24 00:44 作者: 高興一回 時(shí)間: 2025-3-24 04:04
Emotion Cause Extraction in?Conversations with?Response Graphing, that reflect the causes of a certain type of emotion embedded in a target utterance in the conversation history. Since conversations are interactions between individuals, where one responds to the content from other participants, it is crucial to identify the potential responsive relations among u作者: immunity 時(shí)間: 2025-3-24 09:56 作者: 退潮 時(shí)間: 2025-3-24 14:43
CETA: Context-Enhanced and Target-Aware Hateful Meme Inference Methodfor comprehensive reasoning. Though great efforts have been made, existing detection methods overlook the specific target of hateful meme, resulting in inadequate meme comprehension and hindering performance. In this paper, we propose Context-Enhanced and Target-Aware Hateful Meme Inference Method (作者: 催眠藥 時(shí)間: 2025-3-24 17:46
A Survey of?Zero-Shot Stance Detection Neither}. As an important research problem, reliance on high-quality annotated data poses a significant challenge. However, in the real world, with the rapid development of social media, it is impossible to annotate the massive amount of text on diverse topics, a universal framework for stance dete作者: 漸強(qiáng) 時(shí)間: 2025-3-24 20:50 作者: 1FAWN 時(shí)間: 2025-3-24 23:11 作者: Asparagus 時(shí)間: 2025-3-25 05:27 作者: 異教徒 時(shí)間: 2025-3-25 11:03
Enhanced Nominal Compound Chain Extraction with?Boundary and?Chain Informationnsatisfying performance of nominal compound chain extraction due to the incorrect identification of nominal compound boundary and the clustering errors. In this paper, we propose a joint model for the NCCE task. For document representation, a multi-head attention approach is adopted to learn the con作者: 植物學(xué) 時(shí)間: 2025-3-25 13:08 作者: fulmination 時(shí)間: 2025-3-25 16:57
Overview of?the?NLPCC 2024 Shared Task on?Chinese Metaphor Generationd Chinese Computing (NLPCC 2024). The goal of this shared task is to generate Chinese metaphors using machine learning techniques and effectively identifying basic components of metaphorical sentences. It is divided into two subtasks: 1) Metaphor Generation, which involves creating a metaphor from a作者: ascetic 時(shí)間: 2025-3-25 20:01
ACTOR: Advancing Argument Components Identification Through In-Context Learning and?Proximity Informntative expression. The task of identifying argument components aids students in understanding the structure of argumentative essays and assists teachers in evaluating students’ proficiency in scientific argument mining. However, existing research lacks a detailed classification of argument types. T作者: Cabinet 時(shí)間: 2025-3-26 02:15
Improving Inference via?Rich Path Information for?Dialogue Relation Extractiondirect associations between inter-sentence entity pairs and the lack of path information makes identifying inter-sentence entity pair relations challenging. To address this issue, we proposes an effective inference model that constructs an entity co-occurrence graph of dialogue documents to model in作者: 兵團(tuán) 時(shí)間: 2025-3-26 08:19 作者: offense 時(shí)間: 2025-3-26 10:41
A Cross-Modal Correlation Fusion Network for?Emotion Recognition in?Conversationsearning Network (MCRLN) mitigates the difficulty in categorizing tail emotions by combining supervised contrastive learning and multimodal data augmentation. Experimental results on the IEMOCAP and MELD datasets demonstrate the effectiveness and superiority of our proposed CMCFN model.作者: –scent 時(shí)間: 2025-3-26 15:36 作者: Metamorphosis 時(shí)間: 2025-3-26 17:39
ACTOR: Advancing Argument Components Identification Through In-Context Learning and?Proximity Informf.amework .. We employ a proximity information awareness (PIA) strategy to provide the model with more relevant information and use the in-context learning (ICL) method to offer pertinent reference examples. Experimental results indicate that our method is competitive in the argument component identification task.作者: 沙漠 時(shí)間: 2025-3-26 22:23
0302-9743 NLP; Machine Translation and Multilinguality; Multi-modality and Explainability; NLP Applications and Text Mining; Sentiment Analysis, Argumentation Mining, and Social Media; Summarization and Generation..978-981-97-9442-3978-981-97-9443-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 懸掛 時(shí)間: 2025-3-27 03:56 作者: 以煙熏消毒 時(shí)間: 2025-3-27 09:07
CETA: Context-Enhanced and Target-Aware Hateful Meme Inference Methodw that our approach outperforms the state-of-the-art baselines on two hateful meme datasets, achieving up to 1.82% improvement in accuracy, significantly enhancing model inference and detection performance.作者: 有危險(xiǎn) 時(shí)間: 2025-3-27 10:57
Overview of?the?NLPCC 2024 Shared Task 3: Dialogue-Level Coreference Resolution and?Relation Extractce information and extract relations using coreference information. We describe the participating systems and their results to show the up-to-date progress in the DRE and DCR tasks, providing guidelines for future research.作者: Dislocation 時(shí)間: 2025-3-27 14:21
Enhanced Nominal Compound Chain Extraction with?Boundary and?Chain Information of the predicted nominal compound chain. Experimental results show the efficiency of the information-enhanced approach in the NCCE task. Such method can also be applied in complex scenario NC recognition tasks, e.g., domain-specific NC recognition or loanword recognition.作者: conifer 時(shí)間: 2025-3-27 21:10
Overview of?the?NLPCC 2024 Shared Task on?Chinese Metaphor GenerationVEHICLEs from a metaphorical sentence. This component requires the identification of the most fitting metaphor elements that correspond to the specified grounds. In addition to overall results, we report on the setup and insights from the metaphor generation shared task, which attracted a total of 4 participating teams across both subtasks.作者: 事物的方面 時(shí)間: 2025-3-27 23:38
EmoCRT: An Emotion-Cause Relation Enhanced Model for?Causal Emotion Entailmenting four emotion-cause relation types. The experimental results on the RECCON dataset show that the proposed model outperforms the benchmark model by 1.41% in terms of Macro-F1. In addition, we reveal the defects of the large language model (LLM) on this task.作者: 古老 時(shí)間: 2025-3-28 03:56 作者: 昏迷狀態(tài) 時(shí)間: 2025-3-28 07:59
Improving Inference via?Rich Path Information for?Dialogue Relation Extractionter-sentence entity pair associations, incorporates multiple entity pair information to enrich path semantics, and employs attention mechanism to capture the semantics associated with each relation in the path information. These enhancements lead to improved inter-sentence inference and increase the effectiveness of dialogue relation extraction.作者: 燕麥 時(shí)間: 2025-3-28 13:29
Conference proceedings 2025nd Knowledge Graph; Information Retrieval, Dialogue Systems, and Question Answering; Large Language Models and Agents; Machine Learning for NLP; Machine Translation and Multilinguality; Multi-modality and Explainability; NLP Applications and Text Mining; Sentiment Analysis, Argumentation Mining, and Social Media; Summarization and Generation..作者: 南極 時(shí)間: 2025-3-28 17:41
0302-9743 ing and Chinese Computing, NLPCC 2024, held in Hangzhou, China, during November 2024..The 161 full papers and 33 evaluation workshop papers included in these proceedings were carefully reviewed and selected from 451 submissions. They deal with the following areas: Fundamentals of NLP; Information Ex作者: 漂亮才會(huì)豪華 時(shí)間: 2025-3-28 21:23
Jiamin Luo,Jingjing Wang,Guodong Zhouhen Wissensgebiete sondern ganz explizit auch für die Praxisfelder einer transkulturellen Psychiatrie und Psychotherapie...Wesentlich für den Leser ist die enge Verzahnung zwischen Theorie und Praxis. ..978-3-540-32776-9作者: Decongestant 時(shí)間: 2025-3-28 23:30
Jiahui Liu,Bobo Li,Zhuang Li,Yuyang Chai,Fei Li,Chong Teng,Donghong Jihen Wissensgebiete sondern ganz explizit auch für die Praxisfelder einer transkulturellen Psychiatrie und Psychotherapie...Wesentlich für den Leser ist die enge Verzahnung zwischen Theorie und Praxis. ..978-3-540-32776-9作者: Axillary 時(shí)間: 2025-3-29 05:21 作者: 殘酷的地方 時(shí)間: 2025-3-29 10:06
Yuanhe Tian,Pengsen Cheng,Fei Xia,Jiayong Liu,Yongdong Zhang,Yan Songch im Zuge weltweiter Dezentralisierung und Vernetzung, da? (.) unter der Unterschiedlichkeit von Werthaltungen in bestimmten Kulturen, was Naturverh?ltnisse, Vorstellungen von Individualit?t und Subjekt, Arbeit, Gerlingen, Ertrag und Ehre etc. betrifft, unterschied-作者: Overthrow 時(shí)間: 2025-3-29 15:27
Junxia Ma,Changjiang Wang,Hanwen Xing,Dongming Zhao,Yazhou Zhangch im Zuge weltweiter Dezentralisierung und Vernetzung, da? (.) unter der Unterschiedlichkeit von Werthaltungen in bestimmten Kulturen, was Naturverh?ltnisse, Vorstellungen von Individualit?t und Subjekt, Arbeit, Gerlingen, Ertrag und Ehre etc. betrifft, unterschied-作者: nostrum 時(shí)間: 2025-3-29 17:36
Biqing Zeng,Ruiyuan Li,Liuxing Lu,Liangqi Xie,Jiazhen Wang,Weihai Chen,Huimin Deng作者: mortgage 時(shí)間: 2025-3-29 21:51 作者: 我沒有命令 時(shí)間: 2025-3-30 02:52
Kaichun Wang,Junyu Lu,Bingjie Yu,Liang Yang,Hongfei Lin作者: vector 時(shí)間: 2025-3-30 07:25 作者: cinder 時(shí)間: 2025-3-30 10:10
Zhilong Zhao,Bing Xu,Bufan Xu,Muyun Yang,Kehai Chen,Tiejun Zhao作者: –LOUS 時(shí)間: 2025-3-30 14:19 作者: 表示問 時(shí)間: 2025-3-30 18:18
Huan Zhang,Chen Zheng,Yuanjing He,Yan Zhao,Yuxuan Lai.作者: 接觸 時(shí)間: 2025-3-30 20:56
Xingwei Qu,Ge Zhang,Siwei Wu,Yizhi Li,Chenghua Lin.作者: iodides 時(shí)間: 2025-3-31 03:32 作者: 供過于求 時(shí)間: 2025-3-31 05:08 作者: 戰(zhàn)勝 時(shí)間: 2025-3-31 09:18 作者: 階層 時(shí)間: 2025-3-31 15:18
