Buch, Englisch, Band 14302, 875 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 1364 g
12th National CCF Conference, NLPCC 2023, Foshan, China, October 12¿15, 2023, Proceedings, Part I
Buch, Englisch, Band 14302, 875 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 1364 g
Reihe: Lecture Notes in Artificial Intelligence
ISBN: 978-3-031-44692-4
Verlag: Springer Nature Switzerland
The 143 regular papers included in these proceedings were carefully reviewed and selected from 478 submissions. They were organized in topical sections as follows: dialogue systems; fundamentals of NLP; information extraction and knowledge graph; machine learning for NLP; machine translation and multilinguality; multimodality and explainability; NLP applications and text mining; question answering; large language models; summarization and generation; student workshop; and evaluation workshop.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Dialogue Systems.- A Task-oriented Dialog Model with Task-progressive and Policy-aware Pre-training.- Retrieval-Augmented Knowledge-Intensive Dialogue.- Episode-based Prompt Learning for Any-shot Intent Detection.- CrossDial: An Entertaining Dialogue Dataset of Chinese Crosstalk.- Fundamentals of NLP.- Recurrent Transformers for Long Document Understanding.- SCA-CLS: A New Semantic-Context-Aware Framework for Community-Oriented Lexical Simplification.- A Cross-lingual Sentiment Embedding Model with Semantic and Sentiment Joint Learning.- Learning to Attentively Represent Distinctive Information for Semantic Text Matching.- Information Extraction and Knowledge Graph.- Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings.- MACO: A Modality Adversarial and Contrastive Framework for Modality-missing Multi-modal Knowledge Graph Completion.- A Joint Entity and Relation Extraction Approach Using Dilated Convolution and Context Fusion.- Interest Aware Dual-channel Graph Contrastive Learning for Session-based Recommendation.- Chinese Event Causality Identification Based on Retrieval Enhancement.- UZNER: A Benchmark for Named Entity Recognition in Uzbek.- Evaluation Framework for Poisoning Attacks on Knowledge Graph Embeddings.- Label-guided Compressed Prototypical Network for Incremental Few-shot Text Classification.- Auxiliary Information Enhanced Span-based Model for Nested Named Entity Recognition.- DialogRE$^{C+}$: An Extension of DialogRE to Investigate How Much Coreference Helps Relation Extraction in Dialogs.- A Bi-directional Multi-hop Inference Model for Joint Dialog Sentiment Classification and Act Recognition.- Positive-guided Knowledge Distillation for Document-level Relation Extraction with Noisy Labeled Data.- PromptCL: Improving Event Representation via Prompt Template and Contrastive Learning.- RMGCN: Masked Graph Convolutional Networks for Relation-Aware Entity Alignment with Dangling Cases.- SymCoNLL: A Symmetry-based Approach for Document Coreference Resolution.- What Makes a Charge? Identifying Charge-Discriminative Facts with Legal Elements.- Machine Learning for NLP.- A New Encoder Using Character and Word Feature Fusion for Chinese Math Word Problem Solving.- MarkBERT: Marking Word Boundaries Improves Chinese BERT.- MCVIE: An Effective Batch-Mode Active Learning for Multi-Label Text Classification.- Task-consistent Meta Learning for Low-resource Speech Recognition.- An Adaptive Learning Method for Solving the Extreme Learning Rate Problem of Transformer.- Machine Translation and Multilinguality.- Towards Making the Most of LLM for Translation Quality Estimation.- Towards Better Translations from Classical to Modern Chinese: A New Dataset and a New Method.- Imitation Attacks Can Steal More than You Think from Machine Translation Systems.- Monolingual Denoising with Large Language Models for Low-Resource Machine Translation.- Multimodality and Explainability.- CAMG: Context-Aware Moment Graph Network for Multimodal Temporal Activity Localization via Language.- Semantic Extension for Cross-Modal Retrieval of Medical Image-Diagnosis Report.- ECOD: A Multi-Modal Dataset for Intelligent Adjudication of E-Commerce Order Disputes.- Bounding and Filling: A Fast and Flexible Framework for Image Captioning.- NLP Applications and Text Mining.- ASKSpell: Adaptive Surface Knowledge Enhances Tokens’ Semantic Representations for Chinese Spelling Check.- Biomedical Entity Normalization Using Encoder Regularization and Dynamic Ranking Mechanism.- Legal Judgment Prediction Incorporating Guiding Cases Matching.- Punctuation Matters! Stealthy Backdoor Attack for Language Models.- SeSQL: A High-quality Large-scale Session-level Chinese Text-to-SQL Dataset.- RSpell: Retrieval-augmented Framework for Domain Adaptive Chinese Spelling Check.- Exploiting Multiple Features for Hash Codes Learning with Semantic-Alignment-Promoting Variational Auto-encoder.- Enhancing Detailed Feedback to Chinese Writing Learners Using a Soft-Label Driven Approach and Tag-Aware Ranking Model.- Question Answering.- NAPG: Non-Autoregressive Program Generation for Hybrid Tabular-Textual Question Answering.- Mixture-of-Experts for Biomedical Question Answering.- Fine-grained Question-Answer Matching via Sentence-aware Contrastive Self-supervised Transfer.- KARN:Knowledge Augmented Reasoning Network for Question Answering.- Large Language Models.- Creative Destruction: Can Language Models Interpret Oxymorons?.- Global Prompt Cell: A Portable Control Module for Effective Prompt Tuning.- What Events Do Pre-trained Language Models Learn from Text? Probing Event-based Commonsense Knowledge by ConfidenceSorting.- Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task.- Large Language Models are Diverse Role-Players for Summarization Evaluation.- COSYWA: Enhancing Semantic Integrity in Watermarking Natural Language Generation.- Summarization and Generation.- Multi-Step Review Generation Based on Masked Language Model for Cross-Domain Aspect-Based Sentiment Analysis.- rT5: A Retrieval-Augmented Pre-Trained Model for Ancient Chinese Entity Description Generation.- Probing Bilingual Guidance for Cross-Lingual Summarization.- Accurate, Diverse and Multiple Distractor Generation with Mixture of Experts.- Improve the Diversity and Novelty for Open-ended Neural Text Generation via Inverse Probability Weighting.- Dialogue Systems.- A Unified Generation Approach for Robust Dialogue State Tracking.- An Explicit-Memory Few-shot Joint Learning Model.- A Noise-Removal of Knowledge Graph Framework for Profile-based Spoken Language Understanding.- Bilevel Scheduled Sampling for Dialogue Generation.- Dial-QP: A Multi-Tasking and Keyword-Guided Approach for Enhancing Conversational Query Production.- Discourse Relation-Aware Multi-turn Dialogue Response Generation.
