Natural Language Processing and Chinese Computing: 10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13–17, 2021, Proceedings, Part I: Lecture Notes in Computer Science, cartea 13028
Editat de Lu Wang, Yansong Feng, Yu Hong, Ruifang Heen Limba Engleză Paperback – 12 oct 2021
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (2) | 583.44 lei 6-8 săpt. | |
| Springer International Publishing – 10 oct 2021 | 583.44 lei 6-8 săpt. | |
| Springer International Publishing – 12 oct 2021 | 702.81 lei 6-8 săpt. |
Din seria Lecture Notes in Computer Science
- 20%
Preț: 1020.28 lei -
Preț: 395.25 lei - 20%
Preț: 327.36 lei - 20%
Preț: 556.96 lei - 20%
Preț: 400.77 lei - 15%
Preț: 558.12 lei - 20%
Preț: 328.94 lei - 20%
Preț: 340.04 lei - 20%
Preț: 487.46 lei - 20%
Preț: 629.71 lei - 20%
Preț: 386.08 lei - 20%
Preț: 489.11 lei - 20%
Preț: 620.33 lei - 20%
Preț: 733.68 lei - 20%
Preț: 1033.45 lei - 20%
Preț: 782.57 lei - 20%
Preț: 679.09 lei - 20%
Preț: 330.54 lei - 20%
Preț: 1137.10 lei - 20%
Preț: 435.28 lei - 20%
Preț: 375.72 lei - 20%
Preț: 342.61 lei - 20%
Preț: 432.78 lei - 20%
Preț: 904.16 lei - 20%
Preț: 1391.87 lei - 20%
Preț: 373.80 lei - 20%
Preț: 400.17 lei - 20%
Preț: 1359.66 lei - 20%
Preț: 984.64 lei - 20%
Preț: 560.93 lei - 20%
Preț: 731.97 lei - 20%
Preț: 563.29 lei - 20%
Preț: 403.00 lei - 20%
Preț: 793.92 lei - 20%
Preț: 324.19 lei - 20%
Preț: 733.68 lei - 20%
Preț: 336.86 lei - 20%
Preț: 327.36 lei - 20%
Preț: 573.45 lei - 20%
Preț: 558.53 lei - 20%
Preț: 850.42 lei - 20%
Preț: 560.93 lei - 20%
Preț: 560.93 lei - 20%
Preț: 631.96 lei - 20%
Preț: 568.70 lei - 20%
Preț: 488.90 lei - 20%
Preț: 293.24 lei
Preț: 702.81 lei
Preț vechi: 878.51 lei
-20%
Puncte Express: 1054
Preț estimativ în valută:
124.29€ • 146.80$ • 107.08£
124.29€ • 146.80$ • 107.08£
Carte tipărită la comandă
Livrare economică 20 martie-03 aprilie
Specificații
ISBN-13: 9783030884796
ISBN-10: 3030884791
Pagini: 840
Ilustrații: XXXVI, 840 p. 330 illus., 200 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.21 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3030884791
Pagini: 840
Ilustrații: XXXVI, 840 p. 330 illus., 200 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.21 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
Cuprins
Oral - Fundamentals of NLP.- Coreference Resolution: Are the eliminated spans totally worthless?.- Chinese Macro Discourse Parsing on Dependency Graph Convolutional Network.- Predicting Categorial Sememe for English-Chinese Word Pairs via Representations in Explainable Sememe Space.- Multi-Level Cohesion Information Modeling for Better Written and Dialogue Discourse Parsing.- ProPC: A Dataset for In-domain and Cross-Domain Proposition Classification Tasks.- CTRD: A Chinese Theme-Rheme Discourse Dataset.- Machine Translation and Multilinguality.- Learning to Select Relevant Knowledge for Neural Machine Translation.- Contrastive Learning for Machine Translation Quality Estimation.- Sentence-State LSTMs for Sequence-to-Sequence Learning.- Guwen-UNILM: Machine Translation Between Ancient and Modern Chinese Based on Pre-Trained Models.- Adaptive Transformer for Multilingual Neural Machine Translation.- Improving Non-Autoregressive Machine Translation with Soft-Masking.- Machine Learning for NLP.- AutoNLU: Architecture Search for Sentence and Cross-sentence Attention Modeling with Re-designed Search Space.- AutoTrans: Automating Transformer Design via Reinforced Architecture Search.- A Word-level Method for Generating Adversarial Examples Using Whole-sentence Information.- RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer.- Pre-trained Language models for Tagalog with Multi source data.- Accelerating Pretrained Language Model Inference Using Weighted Ensemble Self-Distillation.- Information Extraction and Knowledge Graph.- Employing Sentence Compression to improve Event Coreference Resolution.- BRCEA: Bootstrapping Relation-aware Cross-lingual Entity Alignment.- Employing Multi-granularity Features to Extract Entity Relation in Dialogue.- Attention Based Reinforcement Learning with Reward Shaping for Knowledge Graph Reasoning.- Entity-Aware Relation Representation Learning for Open Relation Extraction.- ReMERT: Relational Memory-based Extraction for Relational Triples.- Recognition of Nested Entity with Dependency Information.- HAIN: Hierarchical Aggregation and Inference Network for Document-Level Relation Extraction.- Incorporate Lexicon into Self-training: A Distantly Supervised Chinese Medical NER.- Summarization and Generation.- Diversified Paraphrase Generation with Commonsense Knowledge Graph.- Explore Coarse-grained Structures for Syntactically Controllable Paraphrase Generation.- Chinese Poetry Generation with Metrical Constraints.- CNewSum: A Large-scale Chinese News Summarization Dataset with Human-annotated Adequacy and Deducibility Level.- Question Generation from Code Snippets and Programming Error Messages.- Extractive Summarization of Chinese Judgment Documents via Sentence Embedding and Memory Network.- Question Answering.- ThinkTwice: A Two-Stage Method for Long-Text Machine Reading Comprehension.- EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension.- Dialogue Systems.- Knowledge-Grounded Dialogue with Reward-Driven Knowledge Selection.- Multi-Intent Attention and Top-k Network with Interactive Framework for Joint Multiple Intent Detection and Slot Filling.- Enhancing Long-Distance Dialogue History Modeling for Better Dialogue Ellipsis and Coreference Resolution.- Exploiting Explicit and Inferred Implicit Personas for Multi-turn Dialogue Generation.- Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF.- Cross-domain Slot Filling with Distinct Slot Entity and Type Prediction.- Social Media and Sentiment Analysis.- Semantic Enhanced Dual-channel Graph Communication Network for Aspect-based Sentiment Analysis.- Highway-Based Local Graph Convolution Network For Aspect Based Sentiment Analysis.- Dual Adversarial Network Based on BERT for Cross-domain Sentiment Classification.- Syntax and Sentiment Enhanced BERT for Earliest Rumor Detection.- Aspect-Sentiment-Multiple-Opinion Triplet Extraction.- Locate and Combine: A Two-Stage Framework for Aspect-Category Sentiment Analysis.- Emotion Classification with Explicit and Implicit Syntactic Information.- MUMOR:A Multimodal Dataset for Humor Detection in Conversations.- NLP Applications and Text Mining.- Advertisement Extraction from Content Marketing Articles via Segment-aware Sentence Classification.- Leveraging Lexical Common-Sense Knowledge for Boosting Bayesian Modeling.- Aggregating inter-viewpoint relationships of user's review for accurate recommendation.- A Residual Dynamic Graph Convolutional Network for Multi-label Text Classification.- Sentence Ordering by Context-enhanced Pairwise Comparison.- A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation.- A Simple Baseline for Cross-domain Few-shot Text Classification.- Shared Component Cross Punctuation Clauses Recognition in Chinese.- BERT-KG:A Short Text Classification Model Based on Knowledge Graph and Deep Semantics.- Uncertainty-aware Self-paced Learning for Grammatical Error Correction.- Metaphor Recognition and Analysis via Data Augmentation.- Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning.- Multimodality and Explainability.- Skeleton-Based Sign Language Recognition with Attention-enhanced Graph Convolutional Networks.- XGPT: Cross-modal Generative Pre-Training for Image Captioning.- An Object-Extensible Training Framework for Image Captioning.- Relation-aware Multi-hop Reasoning for Visual Dialog.- Multi-Modal Sarcasm Detection Based on Contrastive Attention Mechanism.