國立高雄大學圖資館 |

Chinese computational linguistics23rd China National Conference, CCL 2024, Taiyuan, China, July 25-28, 2024 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Chinese computational linguisticsedited by Maosong Sun ... [et al.].
其他題名:	23rd China National Conference, CCL 2024, Taiyuan, China, July 25-28, 2024 : proceedings /
其他題名:	CCL 2024
其他作者:	Sun, Maosong.
團體作者:
出版者:	Singapore :Springer Nature Singapore :2025.
面頁冊數:	xxii, 595 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Chinese languageCongresses.Data processing
電子資源:	https://doi.org/10.1007/978-981-97-8367-0
ISBN:	9789819783670$q(electronic bk.)

Chinese computational linguistics23rd China National Conference, CCL 2024, Taiyuan, China, July 25-28, 2024 : proceedings /
Chinese computational linguistics23rd China National Conference, CCL 2024, Taiyuan, China, July 25-28, 2024 : proceedings /[electronic resource] :CCL 2024edited by Maosong Sun ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xxii, 595 p. :ill., digital ;24 cm. - Lecture notes in computer science,147611611-3349 ;. - Lecture notes in computer science ;4891..

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.

This book constitutes the refereed proceedings of the 23rd China National Conference on Chinese Computational Linguistics, CCL 2024, held in Taiyuan, China, during July 25-28, 2024. The 34 full papers included in this book were carefully reviewed and selected from 320 submissions. They were organized in topical sections as follows: Information Retrieval, Text Classification and QA; Text Generation, Dialogue and Summarization; Machine Translation and Multilingual Information Processing; Knowledge Graph and Information Extraction; Social Computing and Sentiment Analysis; NLP Applications; Fundamental Theory and Method of Language Computing and Cognition; Language Resource and Evaluation; and Large Language Models.

ISBN: 9789819783670$q(electronic bk.)

Standard No.: 10.1007/978-981-97-8367-0doiSubjects--Topical Terms:

700086
Chinese language
--Data processing--Congresses.

LC Class. No.: QA76.9.N38

Dewey Class. No.: 006.35

Chinese computational linguistics23rd China National Conference, CCL 2024, Taiyuan, China, July 25-28, 2024 : proceedings /
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