{"product_id":"natural-language-processing-and-chinese-computing-9789819533510","title":"Natural Language Processing and Chinese Computing","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- Machine Learning for NLP\u003cbr\u003e\u003c\/strong\u003e.- HandDiff-GAN: Handwriting Diffusion-Enhanced Generative Adversarial Networks for Character Generation.\u003cbr\u003e.- Multi-Event Temporal Relation Extraction by Ranking.\u003cbr\u003e.- Very-Long-Distance Dependency Capturing Evaluation via Language Modeling based on Gender Consistency.\u003cbr\u003e.- InfoKANCSE: Enhancing Contrastive Sentence Embeddings with KAN and Information-Aware Aggregation.\u003cbr\u003e.- Zero-Shot Chain-of-Thought Reasoning Guided by Evolutionary Algorithms in Large Language Models.\u003cbr\u003e.- FedETE: Privacy-preserving Federated Event Trigger Extraction.\u003cbr\u003e\u003cstrong\u003e.- Fundamentals of NLP\u003cbr\u003e\u003c\/strong\u003e.- Parallel Task Planning via Model Collaboration.\u003cbr\u003e.- SageRep: Enhancing Unsupervised Sentence Representations via Layer-Adaptive Self-Knowledge Distillation.\u003cbr\u003e.- Improving Cross-Document Event Coreference Resolution with Word Sense Disambiguation and Large Language Models.\u003cbr\u003e\u003cstrong\u003e.- Summarization and Generation\u003cbr\u003e\u003c\/strong\u003e.- FactoScalpel: Locating and Injecting Knowledge in Transformer to Enhance Factual Consistency in Abstractive Summarization.\u003cbr\u003e.- Emoji-Stega: An Emoji-Powered Linguistic Steganography Framework for Social Networks.\u003cbr\u003e.- Knowledge-enhanced Text Summaries for Factual Problems.\u003cbr\u003e.- DiSG: A Discourse Structure-aware Multi-Stage Approach for Long Tibetan Text Summarization.\u003cbr\u003e.- Detecting and Correcting Hallucinations in LLMs via Substantive Uncertainty and Iterative Validation.\u003cbr\u003e\u003cstrong\u003e.- Others\u003cbr\u003e\u003c\/strong\u003e.- Directional asymmetry in the perception of Mandarin Chinese vowels by native English speakers.\u003cbr\u003e.- Thoughts Behind Attack: Enhancing Security Against Jailbreak Attacks Using Chain-of-Thought.\u003cbr\u003e.- Unlocking the Power of Large Language Models for Multi-Table Entity Matching.\u003cbr\u003e.- Mongolian Speech Recognition Based on Semi-Supervised Learning and Syllable Subword Modeling Units.\u003cbr\u003e.- CEBFL: A Cost-Effectiveness-Based Approach to Defending Against Gradient Attack in Federated Learning.\u003cbr\u003e.- IRSC: A Zero-shot Evaluation Benchmark for Information Retrieval base on Semantic Comprehension in Retrieval-Augmented Generation Scenarios.\u003cbr\u003e\u003cstrong\u003e.- Evaluation Workshop\u003cbr\u003e\u003c\/strong\u003e.- Overview of the NLPCC 2025 Shared Task 1: LLM-Generated Text Detection.\u003cbr\u003e.- When Less is More: Minimal Prompts with LoRA for LLM Text Detection.\u003cbr\u003e.- EnsemJudge: Enhancing Reliability in Chinese LLM-Generated Text Detection through Diverse Model Ensembles.\u003cbr\u003e.- LOW-COST-AI-DETECTOR: An Efficient and Cost-Effective LLM-Generated Chinese Text Detection Model for NLPCC2025 Shared-Task 1.\u003cbr\u003e.- Overview of the NLPCC 2025 Shared Task2: Evaluation of Essay On-Topic Graded Comments(EOTGC).\u003cbr\u003e.- Optimizing Automated Essay On-Topic Graded Comments via LLM-Based Prompt Augmentation.\u003cbr\u003e.- Decomposing Topic Relevance: A Multi-Agent LLM Approach for Automated Essay Scoring and Feedback.\u003cbr\u003e.- Overview of the NLPCC 2025 Shared Task 3: Comprehensive Argument Analysis for Chinese Argumentative Essay.\u003cbr\u003e.- Knowledge-Enhanced and Event-Rule Guided Framework for Fine-Grained Argument Mining in Chinese Essays.\u003cbr\u003e.- Comprehensive Argument Mining for Chinese Argumentative Essays Using Large Language Models.\u003cbr\u003e.- Overview of the NLPCC 2025 Shared Task 4: Multi-modal, Multilingual, Multi-hop Medical Instructional Video Question Answering Challenge.\u003cbr\u003e.- Multi-hop Knowledge-enhanced Query Reasoning for Multi-modal Medical Video QA.\u003cbr\u003e.- Hierarchical Indexing with Knowledge Enrichment for Multilingual Video Corpus Retrieval.\u003cbr\u003e.- Hierarchical RAG-driven Multi-hop Reasoning for Medical Video Question Answering.\u003cbr\u003e.- Overview of NLPCC 2025 Shared Task 5: Chinese Government Text Correction with Knowledge Bases.\u003cbr\u003e.- CGT-Corrector:Chinese Government Text Correction with Knowledge Bases.\u003cbr\u003e.- KARTC: Knowledge-Aware Rewriting with Large Language Models for Chinese Government Text Correction.\u003cbr\u003e.- Overview of the NLPCC 2025 Shared Task: Gender Bias Mitigation Challenge.\u003cbr\u003e.- From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing.\u003cbr\u003e.- Qwen-Gender: A Chain-of-Thought Based Multi-Task Gender Bias Mitigation System.\u003cbr\u003e.- Detection, Classification, Mitigation of Gender Bias in Large Language Models.\u003cbr\u003e.- Overview of the NLPCC 2025 Shared Task 8: Personalized Emotional Support Conversation.\u003cbr\u003e.- Optimizing LLMs for Personalized Emotional Support with Future Cues and Response Diversity.\u003cbr\u003e.- Empathetic Dialogue Generation with LLMs for Emotional Support.\u003cbr\u003e.- Role-Guided Synthesis for Emotional Support: A Two-Stage Framework with Multi-Agent Dialogue Synthesis.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53212856320343,"sku":"9789819533510","price":64.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/natural-language-processing-and-chinese-computing-9789819533510","provider":"Book Curl","version":"1.0","type":"link"}