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_aNatural Language Processing and Chinese Computing _h[electronic resource] : _b12th National CCF Conference, NLPCC 2023, Foshan, China, October 12–15, 2023, Proceedings, Part III / _cedited by Fei Liu, Nan Duan, Qingting Xu, Yu Hong. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2023. |
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300 |
_aXXVII, 429 p. 101 illus., 89 illus. in color. _bonline resource. |
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490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v14304 |
|
505 | 0 | _aFantastic 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 withSentences 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. | |
520 | _aThis three-volume set constitutes the refereed proceedings of the 12th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2023, held in Foshan, China, during October 12–15, 2023. The ____ regular papers included in these proceedings were carefully reviewed and selected from 478 submissions. They were organized in topical sections as follows: dialogue systems; fundamentals of NLP; information extraction and knowledge 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. | ||
650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 | _aArtificial Intelligence. |
700 | 1 |
_aLiu, Fei. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aDuan, Nan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aXu, Qingting. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aHong, Yu. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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_iPrinted edition: _z9783031446986 |
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_iPrinted edition: _z9783031447006 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v14304 |
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