LEADER 02938nam 2200697Ia 450 001 9910782580703321 005 20230607222235.0 010 $a0-19-770575-8 010 $a1-280-83459-5 010 $a9786610834594 010 $a0-19-803098-3 035 $a(CKB)1000000000555395 035 $a(EBL)281349 035 $a(OCoLC)476026253 035 $a(SSID)ssj0000110026 035 $a(PQKBManifestationID)11982104 035 $a(PQKBTitleCode)TC0000110026 035 $a(PQKBWorkID)10059780 035 $a(PQKB)11490041 035 $a(Au-PeEL)EBL281349 035 $a(CaPaEBR)ebr10269067 035 $a(OCoLC)794549396 035 $a(Au-PeEL)EBL4963629 035 $a(CaONFJC)MIL83459 035 $a(OCoLC)1027198183 035 $a(MiAaPQ)EBC281349 035 $a(EXLCZ)991000000000555395 100 $a20010122d2001 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe behavioral neurology of white matter$b[electronic resource] /$fChristopher M. Filley 210 $aOxford ;$aNew York $cOxford University Press$d2001 215 $a1 online resource (298 p.) 300 $aDescription based upon print version of record. 311 $a0-19-513561-X 320 $aIncludes bibliographical references and index. 327 $aContents; 1. The Neurologic Background; 2. White Matter Structure and Function; 3. Development and Aging; 4. Neuroimaging; 5. Genetic Disorders; 6. Demyelinative Diseases; 7. Infectious Diseases; 8. Inflammatory Diseases; 9. Toxic Leukoencephalopathies; 10. Metabolic Disorders; 11. Vascular Diseases; 12. Traumatic Disorders; 13. Neoplasms; 14. Hydrocephalus; 15. Cognitive Dysfunction and Dementia; 16. Focal Neurobehavioral Syndromes; 17. Neuropsychiatric Syndromes; 18. The Behavioral Neurology of White Matter; Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; R; S; T; U; V; W; Z; 330 $aThis text examines the role of the brain's white matter in the organization of human mental function. It is founded on the study of patients with white matter disorders, and considers white matter dementia and other neobehavioural syndromes in developing a behavioural neurology of white matter. 606 $aClinical neuropsychology 606 $aCognitive neuroscience 606 $aHigher nervous activity 606 $aNeuroanatomy 606 $aNeurobehavioral disorders 615 0$aClinical neuropsychology. 615 0$aCognitive neuroscience. 615 0$aHigher nervous activity. 615 0$aNeuroanatomy. 615 0$aNeurobehavioral disorders. 676 $a612.825 676 $a616.8047 700 $aFilley$b Christopher M.$f1951-$01478774 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910782580703321 996 $aThe behavioral neurology of white matter$93803649 997 $aUNINA LEADER 07273nam 22006375 450 001 9910502637103321 005 20251107173321.0 010 $a3-030-88483-X 024 7 $a10.1007/978-3-030-88483-3 035 $a(CKB)5140000000013015 035 $a(MiAaPQ)EBC6747895 035 $a(Au-PeEL)EBL6747895 035 $a(OCoLC)1276776902 035 $a(PPN)258296135 035 $a(DE-He213)978-3-030-88483-3 035 $a(EXLCZ)995140000000013015 100 $a20211009d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNatural Language Processing and Chinese Computing $e10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13?17, 2021, Proceedings, Part II /$fedited by Lu Wang, Yansong Feng, Yu Hong, Ruifang He 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (647 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13029 311 08$a3-030-88482-1 327 $aPosters - Fundamentals of NLP -- Syntax and Coherence - The Effect on Automatic Argument Quality Assessment -- ExperienceGen 1.0: A Text Generation Challenge Which Requires Deduction and Induction Ability -- Machine Translation and Multilinguality -- SynXLM-R: Syntax-enhanced XLM-R in Translation Quality Estimation -- Machine Learning for NLP -- Memetic Federated Learning for Biomedical Natural Language Processing -- Information Extraction and Knowledge Graph -- Event Argument Extraction via a Distance-Sensitive Graph Convolutional Network -- Exploit Vague Relation: An Augmented Temporal Relation Corpus and Evaluation -- Searching Effective Transformer for Seq2Seq Keyphrase Generation -- Prerequisite Learning with Pre-trained Language and Graph Embedding Models -- Summarization and Generation -- Variational Autoencoder with Interactive Attention for Affective Text Generation -- CUSTOM: Aspect-Oriented Product Summarization for E-Commerce -- Question Answering.-FABERT: A Feature Aggregation BERT-Based Model for Document Reranking -- Generating Relevant, Correct and Fluent Answers in Natural Answer Generation -- GeoCQA: A Large-scale Geography-Domain Chinese Question Answering Dataset from Examination -- Dialogue Systems -- Generating Informative Dialogue Responses with Keywords-Guided Networks -- Zero-Shot Deployment for Cross-Lingual Dialogue System -- MultiWOZ 2.3: A multi-domain task-oriented dialogue dataset enhanced with annotation corrections and co-reference annotation -- EmoDialoGPT: Enhancing DialoGPT with Emotion -- Social Media and Sentiment Analysis -- BERT-based Meta-learning Approach with Looking Back for Sentiment Analysis of Literary Book Reviews -- ISWR: an Implicit Sentiment Words Recognition Model Based on Sentiment Propagation -- An Aspect-Centralized Graph Convolutional Network for Aspect-based Sentiment Classification -- NLP Applications and Text Mining -- Capturing Global Informativeness in Open Domain Keyphrase Extraction -- Background Semantic Information Improves VerbalMetaphor Identification -- Multimodality and Explainability -- Towards unifying the explainability evaluation methods for NLP -- Explainable AI Workshop -- Detecting Covariate Drift with Explanations -- A Data-Centric Approach Towards Deducing Bias in Artificial Intelligence Systems for Textual Contexts -- Student Workshop -- Enhancing Model Robustness via Lexical Distilling -- Multi-stage Multi-modal Pre-training for Video Representation -- Nested Causality Extraction on Traffic Accident Texts as Question Answering -- Evaluation Workshop -- MSDF: A General Open-Domain Multi-Skill Dialog Framework -- RoKGDS: A Robust Knowledge Grounded Dialog System -- Enhanced Few-shot Learning with Multiple-Pattern-Exploiting Training -- BIT-Event at NLPCC-2021 Task 3: Subevent Identification via Adversarial Training -- Few-shot Learning for Chinese NLP tasks -- When Few-shot Learning Meets Large-scale Knowledge-enhanced Pre-training: Alibaba at FewCLUE -- TKB˛ert: Two-stage Knowledge Infused Behavioral Fine-tuned BERT -- A Unified Information Extraction System Based on Role Recognition and Combination -- A Simple but Effective System for Multi-format Information Extraction -- A Hierarchical Sequence Labeling Model for Argument Pair Extraction -- Distant finetuning with discourse relations for stance classification -- The Solution of Xiaomi AI Lab to the 2021 Language and Intelligence Challenge: Multi-Format Information Extraction Task -- A Unified Platform for Information Extraction with Two-stage Process -- Overview of the NLPCC 2021 Shared Task: AutoIE2 -- Task 1 - Argumentative Text Understanding for AI Debater (AIDebater) -- Two Stage Learning for Argument Pairs Extraction -- Overview of Argumentative Text Understanding for AI Debater Challenge -- ACE: A Context-Enhanced model for Interactive Argument Pair Identification -- Context-Aware and Data-Augmented Transformer for Interactive Argument Pair Identification -- ARGUABLY @ AI Debater-NLPCC 2021 Task 3: Argument Pair Extraction from Peer Review and Rebuttals -- Sentence Rewriting for Fine-Tuned Model Based on Dictionary: Taking the Track 1 of NLPCC 2021 Argumentative Text Understanding for AI Debater as an Example -- Knowledge Enhanced transformers System for Claim Stance Classification. 330 $aThis two-volume set of LNAI 13028 and LNAI 13029 constitutes the refereed proceedings of the 10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021, held in Qingdao, China, in October 2021. The 66 full papers, 23 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 446 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13029 606 $aArtificial intelligence 606 $aNatural language processing (Computer science) 606 $aData mining 606 $aInformation storage and retrieval systems 606 $aArtificial Intelligence 606 $aNatural Language Processing (NLP) 606 $aData Mining and Knowledge Discovery 606 $aInformation Storage and Retrieval 615 0$aArtificial intelligence. 615 0$aNatural language processing (Computer science) 615 0$aData mining. 615 0$aInformation storage and retrieval systems. 615 14$aArtificial Intelligence. 615 24$aNatural Language Processing (NLP). 615 24$aData Mining and Knowledge Discovery. 615 24$aInformation Storage and Retrieval. 676 $a006.35 702 $aWang$b Lu$c(Illustrator) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910502637103321 996 $aNatural Language Processing and Chinese Computing$91912515 997 $aUNINA