Natural Language Processing and Chinese Computing

ISBN-13: 9783031446986 / Angielski / Miękka / 2023

Opis

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.

Spis treści

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.