Natural language processing and Chinese computing Part 1
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.-...
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| Weitere Verfasser: | , , , |
| Format: | UnknownFormat |
| Sprache: | eng |
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Cham
Springer
2023
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| Schriftenreihe: | Lecture notes in computer science
14302 |
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| Online Zugang: | Cover |
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| Zusammenfassung: | 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 an This three-volume set constitutes the refereed proceedings of the 12th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2023, held in Foshan, China, during October 12-15, 2023. 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 |
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| Beschreibung: | Literaturangaben |
| Beschreibung: | xliii, 875 Seiten Diagramme |
| ISBN: | 9783031446924 978-3-031-44692-4 |