Produktbild: Chinese Computational Linguistics
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Chinese Computational Linguistics 24th China National Conference, CCL 2025, Jinan, China, August 11–14, 2025, Proceedings

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.11.2025

Abbildungen

XX, 486 p. 157 illus., 146 illus. in color.

Herausgeber

Maosong Sun + weitere

Verlag

Springer Singapore

Seitenzahl

486

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

762 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9527-24-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.11.2025

Abbildungen

XX, 486 p. 157 illus., 146 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

486

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

762 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9527-24-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Chinese Computational Linguistics

  • NLP Applications


    .-Self-Supervised Contrastive Learning for Content-Centric Speech Representation.


    .-A Chunk-based Chain of Thought Prompting Method for Mitigating Over-Correction in Chinese Grammatical Error Correction.


    .- Linguistic Differences between AI and Human Comments in Weibo: Detect AI-Generated Text through Stylometric Features.


    .- Fine-tuning GEC Model Based on Language Family Corpus.


    .- Statistically Optimized SGNS Model: Enhancing Word Vector Representation with Global Semantic Weight.


    .- HFSD-V2C: Zero-Shot Visual Voice Cloning Via Hierarchical Face-Styled Diffusion Model.


    .- CRAF:Cross-Modal Representation Alignment and Fusion for Speech Translation.


    .- Lao-English Code-Switched Speech Synthesis Via Neural Codec Language Modeling.


    .- UMAD: Enhancing LLM Debiasing via Multi-Agent Debate and Token-Level Bias Interpretation.


    .- Instruction-Driven In-Context Learning for Domain-Specific Chinese Spelling Correction.


    .- DualReward: A Dynamic Reinforcement Learning Framework for Cloze Tests Distractor Generation.


    Large Language Models


    .- RankLLM: A multi-criteria decision-making method for LLM performance evaluation in sentiment analysis.


    .- MQM-MSC: Enhancing Translation Quality Estimation Interpretability with Mask-Driven Self-Correction in Large Language Models.


    .- Improving Abstract Reasoning Ability of Large Language Models through Mixture Program-based Data Synthesis.


    .- RJAG: Retrieval Judgment Augmented Generation.


    .- Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models.


    Language Resource and Evaluation


    .- Unveiling the Linguistic Acceptability Judgments of Large Language Models in Multilingual Contexts.


    .- MASP: A Multilingual Dataset for Probing Scalar Modifier Understanding in LLMs.


     Text Generation, Dialogue and Summarization


    .- Self-Preference: An Automated Method for Preference-Aligned Data Constructed from Business Metrics.


    .- TAG: Dialogue Summarization Based on Topic Segmentation and Graph Structures.


    .- Enabling Real-Time Conversations with Minimal Training Costs.


    Information Retrieval, Text Classification and QA


    .- EDGE: Enhanced Debiased Gradient Extraction for Robust Fine-tuning.


    .- BiSaGA: A Novel Bidirectional Sparse Graph Attention Adapter for Evidence-Based Fact-Checking.


    ACL ARR Fast Track


    .- Cross-modal Ambiguity Learning with Heterogeneous Interaction Analysis For Rumor Detection.


    .- Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models.


    .- DSMR-SQL: Enhancing Text-to-SQL with Dual-Strategy SQL Generation and Multi-Role SQL Selection.


    Machine Translation and Multilingual Information Processing


    .- Quality-aware Neural Machine Translation with Self-evaluation.