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  • Produktbild: Chinese Computational Linguistics
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Chinese Computational Linguistics 23rd China National Conference, CCL 2024, Taiyuan, China, July 25–28, 2024, Proceedings

Aus der Reihe Lecture Notes in Computer Science

87,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

29.11.2024

Herausgeber

Maosong Sun + weitere

Verlag

Springer Singapore

Seitenzahl

595

Maße (L/B/H)

23,5/15,5/3,4 cm

Gewicht

925 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9783-66-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

29.11.2024

Herausgeber

Verlag

Springer Singapore

Seitenzahl

595

Maße (L/B/H)

23,5/15,5/3,4 cm

Gewicht

925 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9783-66-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Chinese Computational Linguistics
  • Produktbild: Chinese Computational Linguistics

  • .- Information Retrieval, Text Classification and QA.

    .- Enhancing Free-Form Table Question Answering Models by Distilling Relevant-Cell-Based Rationales.

    .- Enhangcing Sequence Representation for Personalized Search.

    .- Joint Similarity Guidance Hash Coding Based on Adaptive Weight Mixing Strategy For Cross-Modal Retrieval.

    .- Text Generation, Dialogue and Summarization.

    .- Generate-then-Revise: An Effective Synthetic Training Data Generation framework for Event Detection.

    .- Machine Translation and Multilingual Information Processing.

    .- E³: Optimizing Language Model Training for Translation via Enhancing Efficiency and Effectiveness.

    .- Multi-features Enhanced Multi-task Learning for Vietnamese Treebank Conversion.

    .- SimCLNMT: A Simple Contrastive Learning Method for Enhancing Neural Machine Translation Quality.

    .- Translate-and-Revise: Boosting Large Language Models for Constrained Translation.

    .- Knowledge Graph and Information Extraction.

    .- A Multi-Task Biomedical Named Entity Recognition Method Based on Data Augmentation.

    .- Biomedical Event Causal Relation Extraction by Reasoning Optimal Entity Relation Path.

    .- Joint Entity and Relation Extraction Based on Bidirectional Update and Long-Term Memory Gate Mechanism.

    .- MFE-NER:Multi-feature Fusion Embedding for Chinese Named Entity Recognition.

    .- UDAA: An Unsupervised Domain Adaptation Adversarial Learning Framework for Zero-Resource Cross-Domain Named Entity Recognition.

    .- Social Computing and Sentiment Analysis.

    .- Triple-view Event Hierarchy Model for Biomedical Event Representation.

    .- NLP Applications.

    .- DialectMoE: An End-to-End Multi-Dialect Speech Recognition Model with Mixture-of-Experts.

    .- Distinguishing Neural Speech Synthesis Models Through Fingerprints in Speech Waveforms.

    .- Knowledge Graph-Enhanced Recommendation with Box Embeddings.

    .- Readability-guided Idiom-aware Sentence Simplification(RISS) for Chinese.

    .- Fundamental Theory and Method of Language Computing and Cognition.

    .- A Tone-based Hierarchical Structure of Chinese Prosody.

    .- Linguistic Guidance for Sequence-to-Sequence AMR Parsing.

    .- Language Resource and Evaluation.

    .- Automatic Construction of the English Sentence Pattern Structure Treebank for Chinese ESL learners.

    .- Cost-efficient Crowdsourcing for Span-based Sequence Labeling:Worker Selection and Data Augmentation.

    .- DLUE: Benchmarking Document Language Understanding.

    .- Do Large Language Models Understand Conversational Implicature- A case study with a Chinese sitcom.

    .- EmoFake: An Initial Dataset for Emotion Fake Audio Detection.

    .- Going Beyond Passages:Readability Assessment for Book-level Long Texts.

    .- Mitigating the Bias of Large Language Model Evaluation.

    .- PPDAC: A Plug-and -Play Data Augmentation Component for Few-shot Extractive Question Answering.

    .- Sentence-Space Metrics (SSM) for the Evaluation of Sentence Comprehension.

    .- Large Language Models.

    .- AuditWen: An Open-Source Large Language Model for Audit.

    .- Chinese Grammatical Error Correction via Large Language Model Guided Optimization Training.

    .- Pattern Shifting or Knowledge Losing? A Forgetting Perspective for Understanding the Effect of Instruction Fine-Tuning.

    .- Prior Constrains-based Reward Model Training for Aligning Large Language Models.

    .- Prompt Engineering 101 Prompt Engineering Guidelines from a Linguistic Perspective.