Titlebook: Natural Language Processing and Chinese Computing; 13th National CCF Co Derek F. Wong,Zhongyu Wei,Muyun Yang Conference proceedings 2025 Th

Asparagus

異教徒

Enhanced Nominal Compound Chain Extraction with?Boundary and?Chain Informationnsatisfying performance of nominal compound chain extraction due to the incorrect identification of nominal compound boundary and the clustering errors. In this paper, we propose a joint model for the NCCE task. For document representation, a multi-head attention approach is adopted to learn the con

植物學(xué)

fulmination

Overview of?the?NLPCC 2024 Shared Task on?Chinese Metaphor Generationd Chinese Computing (NLPCC 2024). The goal of this shared task is to generate Chinese metaphors using machine learning techniques and effectively identifying basic components of metaphorical sentences. It is divided into two subtasks: 1) Metaphor Generation, which involves creating a metaphor from a

ascetic

ACTOR: Advancing Argument Components Identification Through In-Context Learning and?Proximity Informntative expression. The task of identifying argument components aids students in understanding the structure of argumentative essays and assists teachers in evaluating students’ proficiency in scientific argument mining. However, existing research lacks a detailed classification of argument types. T

Cabinet

Improving Inference via?Rich Path Information for?Dialogue Relation Extractiondirect associations between inter-sentence entity pairs and the lack of path information makes identifying inter-sentence entity pair relations challenging. To address this issue, we proposes an effective inference model that constructs an entity co-occurrence graph of dialogue documents to model in

兵團(tuán)

offense

A Cross-Modal Correlation Fusion Network for?Emotion Recognition in?Conversationsearning Network (MCRLN) mitigates the difficulty in categorizing tail emotions by combining supervised contrastive learning and multimodal data augmentation. Experimental results on the IEMOCAP and MELD datasets demonstrate the effectiveness and superiority of our proposed CMCFN model.

–scent

Metamorphosis

ACTOR: Advancing Argument Components Identification Through In-Context Learning and?Proximity Informf.amework .. We employ a proximity information awareness (PIA) strategy to provide the model with more relevant information and use the in-context learning (ICL) method to offer pertinent reference examples. Experimental results indicate that our method is competitive in the argument component identification task.