Natural language processing and Chin...
NLPCC (Conference) (2023 :)

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  • Natural language processing and Chinese computing = 12th National CCF Conference, NLPCC 2023, Foshan, China, October 12-15, 2023 : proceedings.. Part III /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Natural language processing and Chinese computing/ edited by Fei Liu ... [et al.].
    其他題名: 12th National CCF Conference, NLPCC 2023, Foshan, China, October 12-15, 2023 : proceedings.
    其他題名: aNLPCC 2023
    其他作者: Liu, Fei.
    團體作者: NLPCC (Conference)
    出版者: Cham :Springer Nature Switzerland : : 2023.,
    面頁冊數: xxvii, 429 p. :ill. (chiefly color), digital ;24 cm.
    內容註: Fantastic Gradients and Where to Find Them: Improving Multi-Attribute Text Style Transfer by Quadratic Program -- TiBERT: A Non-autoregressive Pre-trained Model for Text Editing -- Student Workshop -- A Study on the Classification of Chinese Medicine Records Using BERT, Chest Impediment as an Example -- Semantic Candidate Retrieval for Few-shot Entity Linking -- CELAT: A Chinese Few-shot Emerging Entity Linking Model based on ERNIE and Adversarial Training -- Evaluation Workshop -- A Unified Framework for Optimizing Video Corpus Retrieval and Temporal Answer Grounding: Fine-grained Modality Alignment and Local-Global Optimization -- User Preference Prediction for Online Dialogue Systems based on Pre-trained Large Model -- A Two-Stage Chinese Medical Video Retrieval Framework with LLM -- Improving Cross-Modal Visual Answer Localization in Chinese Medical Instructional Video using Language Prompts -- Improving Few-shot and Zero-shot Entity Linking with Coarse-to-Fine Lexicon-based Retriever -- Two-Stage Topic Sentence Extraction for Chinese Student Essays -- Auto-scaling Distribution Fitting Network for User Feedback Prediction -- Multimodal Dialogue Understanding via Holistic Modeling and Sequence Labeling -- Multi-angle Prediction Based on Prompt Learning for Text Classification -- Adversarial Training and Model Ensemble for User Feedback Prediciton in Conversation System -- A Numeracy-Enhanced Decoding for Solving Math Word Problem -- Improving Conversational Aspect-based Sentiment Quadruple Analysis with Overall Modeling -- Overview of the NLPCC 2023 Shared Task: Chinese Essay Discourse Coherence Evaluation -- Improving the Generalization Ability in Essay Coherence Evaluation through Monotonic Constraints -- Overview of the NLPCC 2023 Shared Task: Chinese Medical Instructional Video Question Answering -- Conversational Aspect-based Sentiment Quadruple Analysis with Consecutive Multi-view Interaction -- Overview of the NLPCC 2023 Shared Task 10: Learn to Watch TV: Multimodal Dialogue Understanding and Response Generation -- GrammarGPT: Exploring Open-Source LLMs for Native Chinese Grammatical Error Correction with Supervised Fine-Tuning -- A Model Ensemble Approach for Conversational Quadruple Extraction -- Solving Math Word Problem with Problem Type Classification -- Consistent Solutions for Optimizing Search Space of Beam Search -- Generating Better Responses from User Feedback via Reinforcement Learning and Commonsense Inference -- Towards Robust Chinese Spelling Check Systems: Multi-round Error Correction with Ensemble Enhancement -- HWCGEC:HW-TSC's 2023 Submission for the NLPCC2023's Chinese Grammatical Error Correction Task -- Enhancing Conversational Aspect-based Sentiment Quadruple Analysis with Context Fusion Encoding Method -- Enhanced CGSN System for Machine Reading Comprehension -- Scientific Reading Comprehension with Sentences Selection and Ranking -- Task-related Pretraining with Whole Word Masking for Chinese Coherence Evaluation -- Overview of the NLPCC 2023 Shared Task: Chinese Spelling Check -- Overview of NLPCC 2023 Shared Task 6:Chinese Few-shot and Zero-shot Entity Linking -- Overview of the NLPCC 2023 Shared Task 9: User Feedback Prediction and Response Generation -- Overview of NLPCC Shared Task 2: Multi-perspective Scientific Machine Reading Comprehension.
    Contained By: Springer Nature eBook
    標題: Natural language processing (Computer science) - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-44699-3
    ISBN: 9783031446993
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