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Advances in Information Retrieval : 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, Proceedings, Part I / edited by Jaap Kamps, Lorraine Goeuriot, Fabio Crestani, Maria Maistro, Hideo Joho, Brian Davis, Cathal Gurrin, Udo Kruschwitz, Annalina Caputo.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Kamps, Jaap, Editor.
Goeuriot, Lorraine., Editor.
Crestani, Fabio, Editor.
Maistro, Maria., Editor.
Joho, Hideo, Editor.
Davis, Brian, Editor.
Gurrin, Cathal, Editor.
Kruschwitz, Udo, Editor.
Caputo, Annalina., Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science 1611-3349 ; 13980
Lecture Notes in Computer Science, 1611-3349 ; 13980
Language:
English
Subjects (All):
Information storage and retrieval systems.
Database management.
Data mining.
Natural language processing (Computer science).
Machine learning.
Information Storage and Retrieval.
Database Management.
Data Mining and Knowledge Discovery.
Natural Language Processing (NLP).
Machine Learning.
Local Subjects:
Information Storage and Retrieval.
Database Management.
Data Mining and Knowledge Discovery.
Natural Language Processing (NLP).
Machine Learning.
Physical Description:
1 online resource (XLVII, 740 pages) : 153 illustrations, 139 illustrations in color.
Edition:
1st ed. 2023.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
System Details:
text file PDF
Summary:
The 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, and 12 reproducibility papers, 10 doctoral consortium papers were carefully reviewed and selected from 489 submissions. 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. .
Contents:
Full Papers
Self-Supervised Contrastive BERT Fine-tuning for Fusion-based Reviewed-Item Retrieval
User Requirement Analysis for a Recommender System-Based Meeting Assistant
Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering
Exploiting Graph Structured Cross-Domain Representation for Multi-Domain Recommendation
Injecting the BM25 Score as Text Improves BERT-Based Re-rankers
Quantifying Valence and Arousal in Text with Multilingual Pre-trained Transformers
A Knowledge Infusion based Multitasking System for Sarcasm Detection in Meme
Multilingual Detection of Check-Worthy Claims using World Languages and Adapter Fusion
Market-Aware Models for Efficient Cross Market Recommendation
TourismNLG: A Multi-lingual Generative Benchmark for the Tourism Domain
An Interpretable Knowledge Representation Framework for Natural Language Processing with Cross-Domain Application
Graph-based Recommendation for Sparse and Heterogeneous User Interactions
It's Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers
Recommendation Algorithm Based on Deep Light Graph Convolution Network in Knowledge Graph
Query Performance Prediction for Neural IR: Are We There Yet?
Item Graph Convolutional Collaborative Filtering for Inductive Recommendations
CoLISA: Inner Interaction via Contrastive Learning for Multi-Choice Reading Comprehension
Viewpoint Diversity in Search Results
COILCR: Efficient Semantic Matching in Contextualized Exact Match Retrieval
Bootstrapped nDCG Estimation in the Presence of Unjudged Documents
Predicting the Listening Contexts of Music Playlists Using Knowledge Graphs
Keyword Embeddings for Query Suggestion
Domain-driven and Discourse-guided Scientific Summarisation
Injecting Temporal-aware Knowledge in Historical Named Entity Recognition
A Mask-based Logic Rules Dissemination Method for Sentiment Classifiers
Contrasting Neural Click Models and Pointwise IPS Rankers
Sentence Retrieval for Open-Ended Dialogue using Dual Contextual Modeling
Temporal Natural Language Inference: Evidence-based Evaluation of Temporal Text Validity
Theoretical Analysis on the Efficiency of Interleaved Comparisons
Intention-aware Neural Networks for Question Paraphrase Identification
Automatic and Analytical Field Weighting for Structured Document Retrieval
An Experimental Study on Pretraining Transformers from Scratch for IR
Neural Approaches to Multilingual Information Retrieval
CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval
SR-CoMbEr: Heterogeneous Network Embedding using Community Multi-view Enhanced Graph Convolutional Network for Automating Systematic Reviews
Multimodal Inverse Cloze Task for Knowledge-based Visual Question Answering
A Transformer-based Framework for POI-level Social Post Geolocation
Document-Level Relation Extraction with Distance-dependent Bias Network and Neighbors Enhanced Loss
Investigating Conversational Agent Action in Legal Case Retrieval
MS-Shift: An Analysis of MS MARCO Distribution Shifts on Neural Retrieval
Listwise Explanations for Ranking Models using Multiple Explainers
Improving video retrieval using multilingual knowledge transfer
Service is good, very good or excellent? Towards Aspect based Sentiment Intensity Analysis
Effective Hierarchical Information Threading using Network Community Detection
HADA: A Graph-based Amalgamation Framework in Image-Text Retrieval.
Other Format:
Printed edition:
ISBN:
978-3-031-28244-7
9783031282447
Access Restriction:
Restricted for use by site license.

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