標題: Titlebook: Natural Language Processing and Chinese Computing; 11th CCF Internation Wei Lu,Shujian Huang,Xiabing Zhou Conference proceedings 2022 The E [打印本頁] 作者: 貪求 時間: 2025-3-21 18:32
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讀者反饋學科排名
作者: Magnificent 時間: 2025-3-21 22:53 作者: 剛毅 時間: 2025-3-22 03:51 作者: Oscillate 時間: 2025-3-22 07:49 作者: Transfusion 時間: 2025-3-22 10:48
Doge Tickets: Uncovering Domain-General Language Models by?Playing Lottery Ticketsts show that the . obtains an improved out-of-domain generalization in comparison with a range of competitive baselines. Analysis results further hint the existence of domain-general parameters and the performance consistency of ..作者: 類型 時間: 2025-3-22 15:47 作者: inundate 時間: 2025-3-22 18:05 作者: ALLEY 時間: 2025-3-22 23:50 作者: nocturia 時間: 2025-3-23 04:23 作者: arcane 時間: 2025-3-23 08:13
Lujia Bao,XiaoShuai Chen,Junwen Ren,Yujia Liu,Chao Qists at Board level and through other professional links. Condensing a wide range of current information into a concise format, this book fills a need by experts and informed amateurs interested in the natural environment, including gardeners, botanic garden and protected area visitors, government ag作者: FLEET 時間: 2025-3-23 12:08
Jialu Qi,Yanqiu Shao,Wei Li,Zizhuo Shent information into a concise format, this book fills a need by experts and informed amateurs interested in the natural environment, including gardeners, botanic garden and protected area visitors, government ag978-3-319-96974-9Series ISSN 2197-9596 Series E-ISSN 2197-960X 作者: 獎牌 時間: 2025-3-23 14:03 作者: justify 時間: 2025-3-23 18:01
Ziyan Yang,Huaping Zhang,Jianyun Shang,Silamu Wushour作者: Ostrich 時間: 2025-3-24 01:07
Zhengjia Dan,Yue Zhao,Xiaojun Bi,Licheng Wu,Qiang Ji作者: 痛苦一生 時間: 2025-3-24 05:46 作者: confederacy 時間: 2025-3-24 07:40 作者: lobster 時間: 2025-3-24 11:03 作者: 昏暗 時間: 2025-3-24 18:37
Two-Layer Context-Enhanced Representation for?Better Chinese Discourse Parsing., inter-EDU), we use Star-Transformer to connect non-adjacent EDUs by the delay node and thus incorporate global information. Experimental results on the CDTB corpus show that the proposed two-layer context-enhanced representation can contribute much to Chinese discourse parsing in neural architecture.作者: Pericarditis 時間: 2025-3-24 21:25
How Effective and Robust is Sentence-Level Data Augmentation for Named Entity Recognition?prove the robustness of the pre-trained model even over strong baselines and token-level data augmentations. We achieved state-of-the-art (SOTA) in the robustness evaluation of the CCIR CUP 2021. The code is available at ..作者: CURT 時間: 2025-3-25 03:09 作者: 承認 時間: 2025-3-25 06:23
DuEE-Fin: A Large-Scale Dataset for?Document-Level Event Extractionted an open competition, which has attracted 1,690 teams and achieved exciting results. We performed experiments on DuEE-Fin with most popular document-level event extraction systems. However, results showed that even some SOTA models performed poorly with our data. Facing these challenges, we found it necessary to propose more effective methods.作者: Pandemic 時間: 2025-3-25 09:32
Temporal Relation Extraction on Time Anchoring and Negative Denoisingrt and the end time-points). Moreover, we introduce a negative denoising mechanism to effectively reduce ambiguousness for the whole model. Experimental results on three datasets prove that our TAM significantly outperforms the SOTA baselines.作者: Radiculopathy 時間: 2025-3-25 14:38
PGBERT: Phonology and?Glyph Enhanced Pre-training for?Chinese Spelling Correctionch layer of original model, PGBERT extends extra channels for phonology and glyph encoding respectively, then performs a multi-channel fusion function and a residual connection to yield an output for each channel. Empirical analysis shows PGBERT is a powerful method for CSC and achieves state-of-the-art performance on widely-used benchmarks.作者: Evacuate 時間: 2025-3-25 17:16 作者: bile648 時間: 2025-3-25 21:34
Conference proceedings 2022 Computing, NLPCC 2022, held in Guilin, China, in September 2022..The 62 full papers, 21 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 327 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality;作者: characteristic 時間: 2025-3-26 00:53 作者: 出價 時間: 2025-3-26 05:43 作者: 彈藥 時間: 2025-3-26 12:18
Multi-task Learning with Auxiliary Cross-attention Transformer for Low-Resource Multi-dialect Speechsk stream, so that the primary task stream has dialect discrimination. Experimental results on the task of Tibetan multi-dialect speech recognition show that our model outperforms the single-dialect model and hard parameter sharing based multi-dialect model, by reducing the average syllable error rate (ASER) by 30.22% and 3.89%, respectively.作者: macular-edema 時間: 2025-3-26 14:26
Conference proceedings 2022 Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability..作者: babble 時間: 2025-3-26 19:59
0302-9743 inguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability..978-3-031-17119-2978-3-031-17120-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Conduit 時間: 2025-3-27 00:53
ow these seeds develop into tumors or about what can be done to halt that development. Indeed, it is often difficult to find a consensus about any aspect of cancer research. The sharply conflicting views of investigators in different subdisciplines has been most aptly summarized by Charles Heidelber作者: Trigger-Point 時間: 2025-3-27 02:11
us about how these seeds develop into tumors or about what can be done to halt that development. Indeed, it is often difficult to find a consensus about any aspect of cancer research. The sharply conflicting views of investigators in different subdisciplines has been most aptly summarized by Charles作者: 哭得清醒了 時間: 2025-3-27 07:18 作者: embolus 時間: 2025-3-27 11:58
Lujia Bao,XiaoShuai Chen,Junwen Ren,Yujia Liu,Chao Qiessures faced by natural ecosystems and the imperative for conservation and restoration. It addresses the policies that have been introduced to manage healthy ecosystems and the practical progress that is being made in restoration. A particular focus is on the production of diverse native plant mate作者: enfeeble 時間: 2025-3-27 14:42 作者: 可以任性 時間: 2025-3-27 18:50 作者: Medley 時間: 2025-3-27 23:33
PGBERT: Phonology and?Glyph Enhanced Pre-training for?Chinese Spelling Correctionrror generation. In this paper, we propose PGBERT as Phonology and Glyph Enhanced Pre-training for CSC. For phonology, PGBERT uses Bi-GRU to encode single Chinese character’s Pinyin sequence as phonology embedding. For glyph, we introduce Ideographic Description Sequence (IDS) to decompose Chinese c作者: FEAT 時間: 2025-3-28 02:35 作者: URN 時間: 2025-3-28 09:39
Two-Layer Context-Enhanced Representation for?Better Chinese Discourse Parsinges mainly focus on tree construction, while for the EDU representation, most researchers just conduct a simple flat word-level representation. Structural information within EDU and relationships between EDUs, especially between non-adjacent EDUs, are largely ignored. In this paper, we propose a two-作者: disciplined 時間: 2025-3-28 13:47 作者: Scintillations 時間: 2025-3-28 15:31 作者: champaign 時間: 2025-3-28 21:35
Contrastive Learning for?Robust Neural Machine Translation with?ASR Errorsso very brittle and easily falter when fed with noisy sentences, i.e., from automatic speech recognition (ASR) output. Due to the lack of Chinese-to-English translation test set with natural Chinese-side ASR output, related studies artificially add noise into Chinese sentences to evaluation translat作者: 案發(fā)地點 時間: 2025-3-29 02:25 作者: 不透明 時間: 2025-3-29 04:35 作者: 擁擠前 時間: 2025-3-29 08:43
Regularized Contrastive Learning of?Semantic Searchroperly learn the semantics of sentences. Transformer-based models are widely used as retrieval models due to their excellent ability to learn semantic representations. in the meantime, many regularization methods suitable for them have also been proposed. In this paper, we propose a new regularizat作者: 設(shè)施 時間: 2025-3-29 13:59
Kformer: Knowledge Injection in?Transformer Feed-Forward Layersthe PTMs’ own ability with quantities of implicit knowledge stored in parameters. A recent study [.] has observed knowledge neurons in the Feed Forward Network (FFN), which are responsible for expressing factual knowledge. In this work, we propose a simple model, Kformer, which takes advantage of th作者: CODE 時間: 2025-3-29 18:08
Doge Tickets: Uncovering Domain-General Language Models by?Playing Lottery Ticketsrning capacity of LMs can also lead to large learning variance. In a pilot study, we find that, when faced with multiple domains, a critical portion of parameters behave unexpectedly in a domain-specific manner while others behave in a domain-general one. Motivated by this phenomenon, we for the fir作者: Retrieval 時間: 2025-3-29 21:55
BART-Reader: Predicting Relations Between Entities via?Reading Their Document-Level Context Informat separate entities, the importance of its mentions varies, which means the entity representation should be different. However, most of the previous RE models failed to make the relation classification entity-pair aware effectively. To that end, we propose a novel adaptation to simultaneously utilize作者: 厭食癥 時間: 2025-3-30 00:17 作者: Cougar 時間: 2025-3-30 07:11 作者: nonsensical 時間: 2025-3-30 10:05
978-3-031-17119-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: alleviate 時間: 2025-3-30 12:38
Natural Language Processing and Chinese Computing978-3-031-17120-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: GLUT 時間: 2025-3-30 19:28
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/n/image/661814.jpg
