E-raamat: Natural Language Processing and Chinese Computing: 13th National CCF Conference, NLPCC 2024, Hangzhou, China, November 1-3, 2024, Proceedings, Part I

Overcoming Rigid and Monotonous: Enhancing Knowledge-grounded
Conversation Generation via Multi-granularity Knowledge.- Learning to
Generate Style-Specific Adapters for Stylized Dialogue Generation.-
Hierarchical Knowledge Aggregation for Personalized Response Generation in
Dialogue Systems.- Multi-hop Reading Comprehension Model Based on Abstract
Meaning Representation and Multi-task Joint Learning.- Leveraging Large
Language Models for QA Dialogue Dataset Construction and Analysis in Public
Services.- MCFC: A Momentum-Driven Clicked Feature Compressed Pre-trained
Language Model for Information Retrieval.- Integrating Syntax Tree and Graph
Neural Network for Conversational Question Answering over Heterogeneous
Sources.- PqE: Zero-Shot Document Expansion for Dense Retrieval with Large
Language Models.- CKF: Conditional Knowledge Fusion Method for CommonSense
Question Answering.- MPPQA: Structure-Aware Extractive Multi-Span Question
Answering for Procedural Documents.- GraphLLM: A General Framework for
Multi-hop Question Answering over Knowledge Graphs using Large Language
Models.- Local or Global Optimization for Dialogue Discourse Parsing.-
Structure and Behavior Dual-Graph Reasoning with Integrated Key-Clue Parsing
for Multi-Party Dialogue Reading Comprehension.- Enhancing Emotional Support
Conversation with Cognitive Chain-of-Thought Reasoning.- A Simple and
Effective Span Interaction Modeling Method for Enhancing Multiple Span
Question Answering.- FacGPT:An Effective and Efficient method for Evaluating
Knowledge-based Visual Question Answering.- PAPER: A Persona-Aware
Chain-of-Thought Learning Framework for Personalized Dialogue Response
Generation.- Towards Building a Robust Knowledge Intensive Question Answering
Model with Large Language Models.- Model-Agnostic Knowledge Distillation
between Heterogeneous Models.- Exploring Multimodal Information Fusion in
Spoken Off-Topic Degree Assessment.- Integrating Hierarchical Key Information
and Semantic Difference Features for Long Text Matching.- CausalAPM:
Generalizable Literal Disentanglement for NLU Debiasing.- W2CL:A Multi-task
Learning Approach to Improve Domain-Specific Sentence Classification through
Word Classification and Contrastive Learning.- Outperforming Larger Models on
Text Classification Through Continued Pre-Training.- Semantic Knowledge
Enhanced and Global Pointer Optimized Method for Medical Nested Entity
Recognition.- CSLAN: A Novel Lexicon Attention Network for Chinese NERS2D:
Enhancing Zero-shot Cross-lingual Event Argument Extraction with Semantic
Knowledge.- Bias-Rectified Multi-way Learning with Data Augmentation for
Implicit Discourse Relation Recognition.- Retrieval-enhanced Template
Generation for Template Extraction.- Chinese Named Entity Recognition Based
on Template and Contrastive Learning.- Enhancing Logical Rules Based on
Self-Distillation for Document-Level Relation ExtractionPrompt-based Joint
Contrastive Learning for Zero-Shot Relation ExtractionLow-Resource Event
Causality Identification With Global Consistency Constraints.- Only One
Relation Possible? Modeling the Ambiguity in Temporal Relation Extraction.-
Empowering LLMs for Long-text Information Extraction in Chinese Legal
Documents.- LLMADR: A Novel Method for Adverse Drug  Reaction Extraction
Based on Style Aligned  Large Language Models Fine-tuning.- Research on Named
Entity Recognition in Ancient Chinese Based on Incremental Pre-training and
Domain Lexicon.- MCKRL: A Multi-Channel based Multi-Graph Knowledge
Representation Learning Model.