Natural Language Processing and Chinese Computing : 13th National CCF Conference, NLPCC 2024, Hangzhou, China, November 1–3, 2024, Proceedings, Part III / edited by Derek F. Wong, Zhongyu Wei, Muyun Yang.

Format:

Book

Author/Creator:

Wong, Derek F.

Contributor:

Wei, Zhongyu.

Yang, Muyun.

Series:

Lecture Notes in Artificial Intelligence, 2945-9141 ; 15361

Language:

English

Subjects (All):

Artificial intelligence.

Natural language processing (Computer science).

Artificial Intelligence.

Natural Language Processing (NLP).

Local Subjects:

Artificial Intelligence.

Natural Language Processing (NLP).

Physical Description:

1 online resource (0 pages)

Edition:

1st ed. 2025.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2025.

Summary:

The five-volume set LNCS 15359 - 15363 constitutes the refereed proceedings of the 13th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2024, held in Hangzhou, China, during November 2024. The 161 full papers and 33 evaluation workshop papers included in these proceedings were carefully reviewed and selected from 451 submissions. They deal with the following areas: Fundamentals of NLP; Information Extraction and Knowledge Graph; Information Retrieval, Dialogue Systems, and Question Answering; Large Language Models and Agents; Machine Learning for NLP; Machine Translation and Multilinguality; Multi-modality and Explainability; NLP Applications and Text Mining; Sentiment Analysis, Argumentation Mining, and Social Media; Summarization and Generation.

Contents:

Improving Causal Inference of Large Language Models with SCM Tools

A Privacy-Preserving Framework for Medical Chatbot based on LLM with Retrieval Augmented Generation

Regularized Continual Learning for Large-Scale Language Models via Probing

LasQ: Largest Singular Components fine-tuning for LLMs with Quantization

MultiAICL: Multi-Task Tuning for Augmented In-Context Learning in Text Style Transfer

What is the best model? Application-driven Evaluation for Large Language Models.-Sparse Mixture of Experts Language Models Excel in Knowledge Distillation

Evaluation and Analysis of the Chinese Semantic Dependency Understanding Ability of Large Language Models

Reparameterization-based Parameter-Efficient Fine-Tuning Methods for Large Language Models: A Systematic Survey

SACL: Sequential Augmentation with Curriculum Learning in Dataset Level

Classifiers Guided Controllable Text Generation for Discrete Diffusion Language Models

AugMixSpeech: A Data Augmentation Method and Consistency Regularization for Mandarin Automatic Speech Recognition

FIRP: Faster LLM inference via future intermediate representation prediction

Margin Discrepancy-based Adversarial Training for Multi-Domain Text Classification

Effective Knowledge Graph Embedding with Quaternion Convolutional Networks

Improving End-to-End Speech Translation with Progressive Dual Encoding

Assessing Translation Quality of Hypotactic Structure for Chinese-to-English Machine Translation

Understanding and Improving Low-Resource Neural Machine Translation with Shallow Features

Improving Non-autoregressive Machine Translation with Error Exposure and Consistency Regularization

Neural Chat Translation as Online Document-to-Document Translation

Autogenerated MQM Data for Quality Estimation based on Sequence Labeling

Pruning Residual Networks in Multilingual Neural Machine Translation to Improve Zero-shot Translation

Leveraging Parameter-Efficient Fine-Tuning for Multilingual Abstractive Summarization

Improving Automatic Post-editing with Error Prompts Extracted from Quality Estimation

Progressive and Consistent Subword Regularization for Neural Machine Translation

Language-Emphasized Cross-Lingual In-Context Learning for Multilingual LLM

A Multilevel Interaction Network Framework for Multimodal Entity Linking

Evaluating the Fidelity of Image Captioning via Weighted Boolean Question Answering

Optimized Conversational Gesture Generation with Enhanced Motion Feature Extraction and Cascaded Generator

Exploring the Potential of Prompting Methods in Low-resource Speech Recognition with Whisper

RAVL: A Retrieval-Augmented Visual Language Model Framework for Knowledge-Based Visual Question Answering

ASRLM: ASR-Robust Language Model Pre-Training via Generative and Discriminative learning

DFS-QA: Dynamic Frame Selection for Better Video Question Answering

Deep Foreground-Background Weighted Cross-Modal Hashing

Graph Interpretation of Image-Text matching: Link Prediction on Concept-Enhanced Cross-Modal Graph

Multi-Granularity Semantic Guided Transformer for Radiology Report Generation

Steganographic Text Generation Based on Large Language Models in Dialogue Scenarios

A Novel ICD Coding Method Based on Associated and Hierarchical Code Description Distillation.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9789819794379

9819794374

OCLC:

1467879350