{"product_id":"chinese-computational-linguistics-9789819527243","title":"Chinese Computational Linguistics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp class=\"MsoNormal\"\u003eNLP Applications\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.-Self-Supervised Contrastive Learning for Content-Centric Speech Representation.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.-A Chunk-based Chain of Thought Prompting Method for Mitigating Over-Correction in Chinese Grammatical Error Correction.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.- Linguistic Differences between AI and Human Comments in Weibo: Detect AI-Generated Text through Stylometric Features.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.- Fine-tuning GEC Model Based on Language Family Corpus.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.- Statistically Optimized SGNS Model: Enhancing Word Vector Representation with Global Semantic Weight.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.- HFSD-V2C: Zero-Shot Visual Voice Cloning Via Hierarchical Face-Styled Diffusion Model.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.- CRAF:Cross-Modal Representation Alignment and Fusion for Speech Translation.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.- Lao-English Code-Switched Speech Synthesis Via Neural Codec Language Modeling.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.- UMAD: Enhancing LLM Debiasing via Multi-Agent Debate and Token-Level Bias Interpretation.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.- Instruction-Driven In-Context Learning for Domain-Specific Chinese Spelling Correction.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.- DualReward: A Dynamic Reinforcement Learning Framework for Cloze Tests Distractor Generation.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003eLarge Language Models\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.- RankLLM: A multi-criteria decision-making method for LLM performance evaluation in sentiment analysis.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.- MQM-MSC: Enhancing Translation Quality Estimation Interpretability with Mask-Driven Self-Correction in Large Language Models.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.- Improving Abstract Reasoning Ability of Large Language Models through Mixture Program-based Data Synthesis.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.- RJAG: Retrieval Judgment Augmented Generation.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.- Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003eLanguage Resource and Evaluation\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.- Unveiling the Linguistic Acceptability Judgments of Large Language Models in Multilingual Contexts.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.- MASP: A Multilingual Dataset for Probing Scalar Modifier Understanding in LLMs.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e Text Generation, Dialogue and Summarization\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.- Self-Preference: An Automated Method for Preference-Aligned Data Constructed from Business Metrics.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.- TAG: Dialogue Summarization Based on Topic Segmentation and Graph Structures.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.- Enabling Real-Time Conversations with Minimal Training Costs.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003eInformation Retrieval, Text Classification and QA\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.- EDGE: Enhanced Debiased Gradient Extraction for Robust Fine-tuning.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.- BiSaGA: A Novel Bidirectional Sparse Graph Attention Adapter for Evidence-Based Fact-Checking.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003eACL ARR Fast Track\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.- Cross-modal Ambiguity Learning with Heterogeneous Interaction Analysis For Rumor Detection.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.- Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e.- DSMR-SQL: Enhancing Text-to-SQL with Dual-Strategy SQL Generation and Multi-Role SQL Selection.\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003eMachine Translation and Multilingual Information Processing\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003e.- Quality-aware Neural Machine Translation with Self-evaluation.\u003c\/span\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":52195608232279,"sku":"9789819527243","price":75.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/chinese-computational-linguistics-9789819527243","provider":"Book Curl","version":"1.0","type":"link"}