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| Link zu diesem Datensatz | https://d-nb.info/1342300491 |
| Art des Inhalts | Konferenzschrift |
| Titel | Artificial Neural Networks and Machine Learning – ICANN 2024 : 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VII / edited by Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko |
| Person(en) |
Wand, Michael (Herausgeber) Malinovská, Kristína (Herausgeber) Schmidhuber, Jürgen (Herausgeber) Tetko, Igor (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2024 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2024 |
| Umfang/Format | Online-Ressource, XXXIII, 450 p. 102 illus., 91 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-72349-0 Printed edition:: ISBN: 978-3-031-72351-3 |
| Inhalt | -- Speech Processing. -- Breaking the Corpus Bottleneck for Multi-dialect Speech Recognition with Flexible Adapters. -- Developmental Predictive Coding Model for Early Infancy Mono- and Bilingual Vocal Continual Learning. -- T-DVAE: A Transformer-based Dynamical Variational Autoencoder for Speech. -- Natural Language Processing. -- A Generalizable Context-Aware Deep Learning Model for Abusive Language Detection. -- A Novel Graph Neural Network Based Model for Text Classification. -- ABSA Methodology Based on Interval-enhanced Talking-heads Attention Network. -- An Evaluation Dataset for Targeted Sentiment Analysis in Long-Form Chinese News Articles. -- Anti-Hate Speech Framework: Leveraging Hedging Hyperbolic Learning. -- Combining Data Generation and Active Learning for Low-Resource Question Answering. -- CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-Thought. -- EKD: Effective Knowledge Distillation for Few-Shot Sentiment Analysis. -- End-to-End Training of Back-Translation Framework with Categorical Reparameterization Trick. -- Enhancing Zero-Shot Translation in Multilingual Neural Machine Translation: Focusing on obtaining Location-Agnostic Representations. -- Generative Sentiment Analysis via Latent Category Distribution and Constrained Decoding. -- Improve Shallow Decoder Based Transformer with Structured Expert Prediction. -- KELTP: Keyword-Enhanced Learned Token Pruning for Knowledge-Grounded Dialogue. -- Knowledge Base Question Generation via Data Augmentation with Dynamic-prompt. -- Lifelong Sentiment Classification Based on Adaptive Parameter Updating. -- Multi-stage vs Single-stage: A Local Information Focused Approach for Overlapping Event Extraction. -- PLIClass: Weakly Supervised Text Classification with Iterative Training and Denoisy Inference. -- Reinforced Keyphrase Genertion with Multi-Dimensional Reward. -- Reinforced Multi-Teacher Knowledge Distillation for Unsupervised Sentence Representation. -- Summarizing Like Human: Edit-Based Text Summarization with Keywords. -- Towards Persona-oriented LLM-generated Text Detection: Benchmark Dataset and Method. -- Use of Riemannian distance metric to verify topological similarity of acoustic and text domains. -- WKE: Word-level Knowledge Enrichment for Aspect Term Extraction. -- Language Modeling. -- A general-purpose material entity extraction method from large compound corpora using fine tuning of character features. -- Efficient Fine-tuning for Low-resource Tibetan Pre-trained Language Models. -- Enhancing LM’s Task Adaptability: Powerful Post-Training Framework with Reinforcement Learning from Model Feedback. -- GL-NER: Generation-aware Large Language Models for Few-shot Named Entity Recognition |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2409180428308.618789781412 DOI: 10.1007/978-3-031-72350-6 |
| URL | https://doi.org/10.1007/978-3-031-72350-6 |
| ISBN/Einband/Preis | 978-3-031-72350-6 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15022 |
| DDC-Notation | 004.3 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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