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Advances in Information Retrieval 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, Proceedings, Part II
Title
Advances in Information Retrieval [electronic resource] : 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, Proceedings, Part II / edited by Jaap Kamps, Lorraine Goeuriot, Fabio Crestani, Maria Maistro, Hideo Joho, Brian Davis, Cathal Gurrin, Udo Kruschwitz, Annalina Caputo.
ISBN
9783031282386
Edition
1st ed. 2023.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Physical Description
1 online resource (XXVI, 710 p.) 111 illus., 98 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
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, 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.
Variant and related titles
Springer ENIN.
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Format
Books / Online
Language
English
Added to Catalog
March 21, 2023
Series
Lecture Notes in Computer Science, 13981
Contents
Full 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 Interesting Ideas 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.
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