LEADER 07852nam 22007095 450 001 9910682559203321 005 20251113173609.0 010 $a9783031282386 010 $a3031282388 024 7 $a10.1007/978-3-031-28238-6 035 $a(MiAaPQ)EBC7216745 035 $a(Au-PeEL)EBL7216745 035 $a(CKB)26271188900041 035 $a(DE-He213)978-3-031-28238-6 035 $a(PPN)269092765 035 $a(EXLCZ)9926271188900041 100 $a20230316d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Information Retrieval $e45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2?6, 2023, Proceedings, Part II /$fedited by Jaap Kamps, Lorraine Goeuriot, Fabio Crestani, Maria Maistro, Hideo Joho, Brian Davis, Cathal Gurrin, Udo Kruschwitz, Annalina Caputo 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (735 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v13981 311 08$aPrint version: Kamps, Jaap Advances in Information Retrieval Cham : Springer International Publishing AG,c2023 9783031282379 320 $aIncludes bibliographical references and index. 327 $aFull Papers -- Automatic Summarization of Financial Earnings Calls Transcript -- Parameter-Efficient Sparse Retrievers and Rerankers using Adapters -- Feature Differentiation and Fusion for Semantic Text Matching -- Multivariate Powered Dirichlet-Hawkes Process -- Fragmented Visual Attention in Web Browsing: Weibull Analysis of Item Visit Times -- Topic-Enhanced Personalized Retrieval-based Chatbot -- Improving the Generalizability of the Dense Passage Retriever Using Generated Datasets -- SegmentCodeList: Unsupervised Representation Learning for Human Skeleton Data Retrieval -- Knowing What and How: A Multi-modal Aspect-Based Framework for Complaint Detection -- What is your cause for concern? Towards Interpretable Complaint Cause Analysis -- DeCoDE: DEtection of COgnitive Distortion and Emotion cause extraction in clinical conversations -- Domain-aligned Data Augmentation for Low-resource and Imbalanced Text Classification -- Privacy-Preserving Fair Item Ranking -- Multimodal Geolocation Estimation of News Photos -- Topics in Contextualised Attention Embeddings -- New Metrics to Encourage Innovation and Diversity in Information Retrieval Approaches -- Probing BERT for Ranking Abilities -- Clustering of Bandit with Frequency-Dependent Information Sharing -- Contrastive Graph Learning with Positional Representation for Recommendation -- Domain Adaptation for Anomaly Detection on Heterogeneous Graphs in E-Commerce -- Short Papers Improving Neural Topic Models with Wasserstein Knowledge Distillation -- Towards Effective Paraphrasing for Information Disguise -- Generating Topic Pages for Scientific Concepts Using Scientific Publications -- Relevance Judgements for Fair Ranking -- A Study of Term-Topic Embeddings for Ranking -- Topic Refinement in Multi-Level Hate Speech Detection -- Is Cross-modal Information Retrieval Possible without Training? -- Adversarial Adaptation for French Named Entity Recognition -- Exploring Fake News Detection with Heterogeneous Social Media Context Graphs -- Justifying Multi-Label Text Classifications for Healthcare Applications -- Doc2Query?: When Less is More -- Towards Quantifying The Privacy Of Redacted Text. -Detecting Stance of Authorities towards Rumors in Arabic Tweets: A Preliminary Study -- Leveraging Comment Retrieval for Code Summarization -- CPR: Cross-domain Preference Ranking with User Transformation -- Colbert-FairPRF: Towards Fair Pseudo-Relevance Feedback in Dense Retrieval -- C2LIR: Continual Cross-lingual Transfer for Low-Resource Information Retrieval -- Joint Extraction and Classification of Danish Competences for Job Matching -- A Study on FGSM Adversarial Training for Neural Retrieval -- Dialogue-to-Video Retrieval -- Time-dependent next-basket recommendations -- Investigating the Impact of Query Representation on Medical Information Retrieval -- Where a Little Change Makes a Big Difference: A Preliminary Exploration of Children?s Queries -- Multi-document QA with GPT-3 and Neural Reranking -- Towards Detecting InterestingIdeas Expressed in Text -- Towards Linguistically Informed Multi-Objective Transformer Pre-Training for Natural Language Inference -- Dirichlet-Survival Process: Scalable Inference of Topic-Dependent Diffusion Networks -- Consumer Health Question Answering Using Off-the-shelf Components -- MOO-CMDS+NER: Named Entity Recognition-based Extractive Comment-oriented Multi-document Summarization -- Don?t Raise Your Voice, Improve Your Argument: Learning to Retrieve Convincing Arguments -- Learning Query-Space Document Representations for High-Recall Retrieval -- Investigating Conversational Search Behavior For Domain Exploration -- Evaluating Humorous Response Generation to Playful Shopping Requests -- Joint Span Segmentation and Rhetorical Role Labeling with Data Augmentation for Legal Documents -- Trigger or not Trigger: Dynamic Thresholding for Few Shot Event Detection -- The Impact of a Popularity Punishing Hyperparameter on ItemKNN Recommendation Performance -- Neural Ad hoc Retrieval Meets Information Extraction -- Augmenting Graph Convolutional Networks with Textual Data for Recommendations -- Utilising Twitter Metadata for Hate Classification -- Evolution of Filter Bubbles and Polarization in News Recommendation -- Capturing Cross-platform Interaction for Identifying Coordinated Accounts of Misinformation Campaigns. 330 $aThe three-volume set LNCS 13980, 13981 and 13982 constitutes the refereed proceedings of the 45th European Conference on IR Research, ECIR 2023, held in Dublin, Ireland, during April 2-6, 2023. The 65 full papers, 41 short papers, 19 demonstration papers, 12 reproducibility papers consortium papers, 7 tutorial papers, and 10 doctorial consortium papers were carefully reviewed and selected from 489 submissions. The book also contains, 8 workshop summaries and 13 CLEF Lab descriptions. The accepted papers cover the state of the art in information retrieval focusing on user aspects, system and foundational aspects, machine learning, applications, evaluation, new social and technical challenges, and other topics of direct or indirect relevance to search. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v13981 606 $aInformation storage and retrieval systems 606 $aMachine learning 606 $aNatural language processing (Computer science) 606 $aEducation$xData processing 606 $aSocial sciences$xData processing 606 $aInformation Storage and Retrieval 606 $aMachine Learning 606 $aNatural Language Processing (NLP) 606 $aComputers and Education 606 $aComputer Application in Social and Behavioral Sciences 615 0$aInformation storage and retrieval systems. 615 0$aMachine learning. 615 0$aNatural language processing (Computer science) 615 0$aEducation$xData processing. 615 0$aSocial sciences$xData processing. 615 14$aInformation Storage and Retrieval. 615 24$aMachine Learning. 615 24$aNatural Language Processing (NLP). 615 24$aComputers and Education. 615 24$aComputer Application in Social and Behavioral Sciences. 676 $a025.524 676 $a025.524 702 $aKamps$b Jaap 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910682559203321 996 $aAdvances in Information Retrieval$9772246 997 $aUNINA LEADER 04928nam 22006495 450 001 9910433260203321 005 20251113185904.0 010 $a3-030-64747-1 024 7 $a10.1007/978-3-030-64747-6 035 $a(CKB)4100000011728401 035 $a(DE-He213)978-3-030-64747-6 035 $a(MiAaPQ)EBC6460940 035 $a(PPN)253252806 035 $a(EXLCZ)994100000011728401 100 $a20210120d2020 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a21st Century Challenges in Chemical Crystallography II $eStructural Correlations and Data Interpretation /$fedited by D. Michael P. Mingos, Paul R. Raithby 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (IX, 231 p. 109 illus., 70 illus. in color.) 225 1 $aStructure and Bonding,$x1616-8550 ;$v186 300 $aIncludes index. 311 08$a3-030-64746-3 327 $aHistorical Development of Historical Correlations -- The advent of Quantum Crystallography: Form and Structure Factors from Quantum Mechanics for Advanced Refinement and Wavefunction Fitting -- Experimental charge densities from multipole modelling ? moving into the 21st century -- Computational Studies of the Solid-State Molecular Organometallic (SMOM) Chemistry of rhodium Alkane Complexes. . 330 $aThis volume summarises recent developments and highlights new techniques which will define possible future directions for small molecule X-ray crystallography. It provides an insight into how specific aspects of crystallography are developing and shows how they may interact or integrate with other areas of science. The development of more sophisticated equipment and the massive rise in computing power has made it possible to solve the three-dimensional structure of an organic molecule within hours if not minutes. This successful trajectory has resulted in the ability to study ever more complex molecules and use smaller and smaller crystals. The structural parameters for over a million organic and organometallic compounds are now archived in the most commonly used database and this wealth of information creates a new set of problems for future generations of scientists. The volume provides some insight into how users of crystallographic structural data banks can navigate their way through a world where ?big data? has become the norm. The coupling of crystallography to quantum chemical calculations provides detailed information about electron distributions in crystals affording a much more detailed analysis of bonding than has been possible previously. In quantum crystallography, quantum mechanical wavefunctions are used to extract information about bonding and properties from the measured X-ray structure factors. The advent of quantum crystallography has resulted in form and structure factors derived from quantum mechanics which have been used in advanced refinement and wavefunction fitting. This volume describes how quantum mechanically derived atomic form factors and structure factors are constructed to allow the improved description of the diffraction experiment. It further discusses recent developments in this field and illustrates their applications with a wide range of examples. This volume will be of interest to chemists and crystallographers with an interest in the synthesis, characterisation and physical and catalytic properties of solid-state materials. It will also be relevant for the community of computational chemists who study chemical systems. Postgraduate students entering the field will benefit from a historical introduction to the way in which scientists have used the data derived from crystallography to develop new structural and bonding models. 410 0$aStructure and Bonding,$x1616-8550 ;$v186 606 $aAnalytical chemistry 606 $aCrystallography 606 $aChemistry, Physical and theoretical 606 $aChemistry, Organic 606 $aAnalytical Chemistry 606 $aCrystallography and Scattering Methods 606 $aTheoretical Chemistry 606 $aOrganic Chemistry 615 0$aAnalytical chemistry. 615 0$aCrystallography. 615 0$aChemistry, Physical and theoretical. 615 0$aChemistry, Organic. 615 14$aAnalytical Chemistry. 615 24$aCrystallography and Scattering Methods. 615 24$aTheoretical Chemistry. 615 24$aOrganic Chemistry. 676 $a016.54532 676 $a548.3 702 $aMingos$b D. M. P.$f1944- 702 $aRaithby$b P. R$g(Paul R.), 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910433260203321 996 $a21st Century challenges in chemical crystallography II$92504541 997 $aUNINA