LEADER 00922nam0-22002531i-450- 001 990003081360403321 035 $a000308136 035 $aFED01000308136 035 $a(Aleph)000308136FED01 035 $a000308136 100 $a20000920d--------km-y0itay50------ba 101 0 $aita 102 $aIT 200 1 $a<>fondi pensione e il mercato mobiliare italiano.Le prospettive aperte dalla recente normativa sulla previdenza complementare$fAngelo Porta 225 1 $aCentro di Economia monetaria e finanziaria "Paolo Baffi"$fUniversità Commerciale Luigi Bocconi$v101 702 1$aPorta,$bAngelo$f<1948- > 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990003081360403321 952 $aPaper$fSES 959 $aSES 996 $aFondi pensione e il mercato mobiliare italiano.Le prospettive aperte dalla recente normativa sulla previdenza complementare$9460030 997 $aUNINA DB $aING01 LEADER 01936nam 2200349 n 450 001 9910572192703321 005 20230515182736.0 035 $a(CKB)5860000000046983 035 $a(NjHacI)995860000000046983 035 $a(EXLCZ)995860000000046983 100 $a20230515d2009 uu 0 101 0 $aita 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCensura, istituzioni e politica letteraria in URSS (1964-1985) /$fMaria Zalambani 210 1$aFirenze, Italy :$cFirenze University Press,$d2009. 215 $a1 online resource (284 pages) 311 $a88-927-3729-5 330 $aLa societa? sovietica e? sempre stata caratterizzata da un forte istituto censorio che di fronte al potere della parola scritta ha messo in opera una serie di istituzioni altamente repressive. Ma la censura non necessariamente esercita il suo potere attraverso forme coercitive; ci sono modalita? di intervento che si espletano attraverso una complessa rete di istituzioni culturali, in grado di "produrre" la societa?, espungendo pensieri ed atteggiamenti pericolosi per il sistema ed organizzando al contempo una serie di organismi destinati a forgiare comportamenti e mentalita? ortodossi, tanto da rendere spesso quasi inutile la funzione del censore esterno, sostituito dal "censore dell'anima". Il libro qui presentato cerca di evidenziare questo secondo aspetto della censura, senza tuttavia trascurare la grande macchina repressiva messa in atto dal potere sovietico. 517 $aCensura, istituzioni e politica letteraria in URSS 606 $aCensorship 615 0$aCensorship. 676 $a363.31 700 $aZalambani$b Maria$0562509 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910572192703321 996 $aCensura, istituzioni e politica letteraria in URSS (1964-1985$91109415 997 $aUNINA LEADER 05783nam 22006615 450 001 9910887803503321 005 20251113201819.0 010 $a3-031-70242-5 024 7 $a10.1007/978-3-031-70242-6 035 $a(MiAaPQ)EBC31683171 035 $a(Au-PeEL)EBL31683171 035 $a(CKB)36128890100041 035 $a(DE-He213)978-3-031-70242-6 035 $a(EXLCZ)9936128890100041 100 $a20240919d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNatural Language Processing and Information Systems $e29th International Conference on Applications of Natural Language to Information Systems, NLDB 2024, Turin, Italy, June 25?27, 2024, Proceedings, Part II /$fedited by Amon Rapp, Luigi Di Caro, Farid Meziane, Vijayan Sugumaran 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (429 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14763 311 08$a3-031-70241-7 327 $aLarge-scale Language Models for Sarcasm Detection with Data Augmentation -- Generating Entity Embeddings for Populating Wikipedia Knowledge Graph by Notability Detection -- Meet XLM-RLnews-8: Not Just Another Sentiment Analysis Model -- CWordTM: Towards a Topic Modeling Toolkit from Low-Code to Pro-Code -- Think from Words(TFW): Initiating Human-Like Cognition in Large Language Models Through Think from Words for Japanese Text-level Classification -- Token Trails: Navigating Contextual Depths in Conversational AI with ChatLLM.-Enhancing Relation Extraction Through Augmented Data: Large Language Models Unleashed -- PET Annotation Visualizer: A Tool to Visualize the Process Models Extraction from Text (PET) Dataset -- E-ReaRev: Adaptive Reasoning for Question Answering over Incomplete Knowledge Graphs by Edge and Meaning Extensions -- ECR: An Expertise-Enriched Conclude-then-Refine Summarization Framework for Professional Articles -- Konstruktor: A Strong Baseline for Simple Knowledge Graph Question Answering -- Bridging the Gap: Developing an Automatic Speech Recognition System for Egyptian Dialect Integration into Chatbots -- Issue Links Retrieval for New Issues in Issue Tracking Systems -- Coherence Graphs: Bridging the Gap in Text Segmentation with Unsupervised Learning -- Effective Context Selection in LLM-based Leaderboard Generation: An Empirical Study -- Automatic Question Answering for the Linguistic Domain ? An Evaluation of LLM Knowledge Base Extension with RAG -- Evaluation of Gender Bias in Amharic Word Embedding Model -- Question Generation Capabilities of ?Small? Large Language Models -- Detecting Attribute Information in Notice to Airman -- Enhancing Natural Language Processing Capabilities in Geriatric Patient Care: An Annotation Scheme and Guidelines -- A FAIR and Free Prompt-based Research Assistant -- PashtoEmo: Enhancing Text-Based Emotion Analysis in the Pashto Language through Dataset Creation -- BEQuizzer: AI-based Quiz Automatic Generation in Portuguese Language -- LISAScore: Exploring Linear Sum Assignment on BERTScore -- Legal Text Analysis Using Large Language Models in NLP -- Enhancing Small Language Models via ChatGPT and Dataset Augmentation -- Large Language Models and Recommendation Systems: A Proof-of-Concept Study on Public Procurements -- Exploring the Potential of Large Language Models for Text-Based Personality Prediction -- Assessing Generative Language Models in Classification Tasks: Performance and Self-Evaluation Capabilities in the Environmental and Climate Change Domain -- CCA ? A Hybrid Cognitive Contract Application for Identifying Accounting Risks in Contractual Language -- Adaptation of Large Language Models for the Public Sector: A Clustering Use Case -- Intelligent Conversational Agent for Medical Information -- Automated Synonym Discovery for Taxonomy Maintenance using Semantic Search Techniques -- Learning Section Weights for Multi-Label Document Classification -- A Multilingual NLP Framework for Offshore Installations -- Evaluating Nuanced Bias in Large Language Model Free Response Answers -- CoURAGE : A framework to evaluate RAG systems. 330 $aChapter ?Meet XLM-RLnews-8: Not Just Another Sentiment Analysis Model? is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14763 606 $aArtificial intelligence 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aSocial sciences$xData processing 606 $aComputer engineering 606 $aComputer networks 606 $aArtificial Intelligence 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aComputer Application in Social and Behavioral Sciences 606 $aComputer Engineering and Networks 615 0$aArtificial intelligence. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aSocial sciences$xData processing. 615 0$aComputer engineering. 615 0$aComputer networks. 615 14$aArtificial Intelligence. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aComputer Engineering and Networks. 676 $a006.35 702 $aRapp$b Amon 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910887803503321 996 $aNatural Language Processing and Information Systems$91918819 997 $aUNINA