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E-grāmata: Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, Proceedings, Part II

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  • Formāts: EPUB+DRM
  • Sērija : Lecture Notes in Computer Science 13981
  • Izdošanas datums: 16-Mar-2023
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783031282386
  • Formāts - EPUB+DRM
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  • Formāts: EPUB+DRM
  • Sērija : Lecture Notes in Computer Science 13981
  • Izdošanas datums: 16-Mar-2023
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783031282386

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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.
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 PapersImproving 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 Childrens 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.- Dont 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.