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Natural Language Processing and Chinese Computing: 12th National CCF Conference, NLPCC 2023, Foshan, China, October 1215, 2023, Proceedings, Part III 1st ed. 2023 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 429 pages, height x width: 235x155 mm, weight: 700 g, 89 Illustrations, color; 12 Illustrations, black and white; XXVII, 429 p. 101 illus., 89 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 14304
  • Izdošanas datums: 08-Oct-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031446984
  • ISBN-13: 9783031446986
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  • Formāts: Paperback / softback, 429 pages, height x width: 235x155 mm, weight: 700 g, 89 Illustrations, color; 12 Illustrations, black and white; XXVII, 429 p. 101 illus., 89 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 14304
  • Izdošanas datums: 08-Oct-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031446984
  • ISBN-13: 9783031446986
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This 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.


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-TSCs 2023 Submission for the NLPCC2023s 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.