LEADER 02495nam 2200637Ia 450 001 9910450916803321 005 20200520144314.0 010 $a1-281-36351-0 010 $a9786611363512 010 $a0-230-60432-3 024 7 $a10.1057/9780230604322 035 $a(CKB)1000000000342399 035 $a(EBL)308360 035 $a(OCoLC)314793669 035 $a(SSID)ssj0000262996 035 $a(PQKBManifestationID)11195212 035 $a(PQKBTitleCode)TC0000262996 035 $a(PQKBWorkID)10290085 035 $a(PQKB)10988876 035 $a(DE-He213)978-0-230-60432-2 035 $a(MiAaPQ)EBC308360 035 $a(Au-PeEL)EBL308360 035 $a(CaPaEBR)ebr10175734 035 $a(CaONFJC)MIL136351 035 $a(OCoLC)320325631 035 $a(EXLCZ)991000000000342399 100 $a20060925d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aTurning points of the Irish Revolution$b[electronic resource] $ethe British government, intelligence, and the cost of indifference, 1912-1921 /$fBenjamin Grob-Fitzgibbon 205 $a1st ed. 2007. 210 $aNew York $cPalgrave Macmillan$d2007 215 $a1 online resource (269 p.) 300 $aDescription based upon print version of record. 311 $a1-349-53868-X 311 $a1-4039-8003-9 320 $aIncludes bibliographical references and index. 327 $aCover; Contents; Acknowledgments; Introduction; Part I The Period of Overt Militancy, 1912-1914; Part II The Period of Clandestine Organization, 1914-1916; Part III The Period of Guerrilla War, 1916-1921; Conclusion; Notes; Bibliography; Index 330 $aIn his exploration of the use of intelligence in Ireland by the British government from the onset of the Ulster Crisis in 1912 to the end of the Irish War of Independence in 1921, Grob-Fitzgibbon analyzes the role that intelligence played during those critical nine years. 607 $aIreland$xHistory 607 $aIreland$xHistory$y1910-1921 607 $aIreland$xHistory$yEaster Rising, 1916 607 $aIreland$xHistory$yWar of Independence, 1919-1921 608 $aElectronic books. 676 $a941.5082/1 700 $aGrob-Fitzgibbon$b Benjamin John$0875121 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910450916803321 996 $aTurning points of the Irish Revolution$91953533 997 $aUNINA LEADER 01742nas 2200469- 450 001 9910715080003321 005 20210905224438.0 035 $a(OCoLC)1242061745 035 $a(CKB)5470000002507244 035 $a(CONSER)--2021234800 035 $a(EXLCZ)995470000002507244 100 $a20210317b20uu2010 -a- a 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBiennial report to Congress, the President, and the National Council on Disability 210 1$aWashington, D.C. :$cAdministration on Developmental Disabilities, U.S. Dept. of Health and Human Services,$d-[2010] 215 $a1 online resource (volumes) 311 $a2767-7931 606 $aDevelopmentally disabled$xServices for$zUnited States$vPeriodicals 606 $aDevelopmentally disabled$xServices for$zUnited States$xManagement$vPeriodicals 606 $aDevelopmentally disabled$xServices for$2fast$3(OCoLC)fst00891891 606 $aDevelopmentally disabled$xServices for$xManagement$2fast$3(OCoLC)fst00891900 607 $aUnited States$2fast 608 $aPeriodicals.$2fast 615 0$aDevelopmentally disabled$xServices for 615 0$aDevelopmentally disabled$xServices for$xManagement 615 7$aDevelopmentally disabled$xServices for. 615 7$aDevelopmentally disabled$xServices for$xManagement. 676 $a362.1968 801 0$bGPO 801 1$bGPO 801 2$bOCLCO 801 2$bOCLCF 801 2$bOCLCO 801 2$bDLC 906 $aJOURNAL 912 $a9910715080003321 996 $aBiennial report to Congress, the President, and the National Council on Disability$93350002 997 $aUNINA LEADER 02007oam 2200505M 450 001 9910715587003321 005 20191116081229.3 035 $a(CKB)5470000002512181 035 $a(OCoLC)1065904943 035 $a(OCoLC)995470000002512181 035 $a(EXLCZ)995470000002512181 100 $a20070221d1828 ua 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCompensate registers and receivers -- Arkansas. 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Documents to accompany the Bill allowing compensation to the registers of land offices and receivers of public moneys for extra services in the Territory of Arkansas$93335514 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