Atjaunināt sīkdatņu piekrišanu

E-grāmata: Advances in Information Retrieval: 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II

Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by
  • Formāts: EPUB+DRM
  • Sērija : Lecture Notes in Computer Science 12036
  • Izdošanas datums: 10-Apr-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • Valoda: eng
  • ISBN-13: 9783030454425
  • Formāts - EPUB+DRM
  • Cena: 53,52 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Ielikt grozā
  • Pievienot vēlmju sarakstam
  • Šī e-grāmata paredzēta tikai personīgai lietošanai. E-grāmatas nav iespējams atgriezt un nauda par iegādātajām e-grāmatām netiek atmaksāta.
  • Formāts: EPUB+DRM
  • Sērija : Lecture Notes in Computer Science 12036
  • Izdošanas datums: 10-Apr-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • Valoda: eng
  • ISBN-13: 9783030454425

DRM restrictions

  • Kopēšana (kopēt/ievietot):

    nav atļauts

  • Drukāšana:

    nav atļauts

  • Lietošana:

    Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
    Izdevējs ir piegādājis šo grāmatu šifrētā veidā, kas nozīmē, ka jums ir jāinstalē bezmaksas programmatūra, lai to atbloķētu un lasītu. Lai lasītu šo e-grāmatu, jums ir jāizveido Adobe ID. Vairāk informācijas šeit. E-grāmatu var lasīt un lejupielādēt līdz 6 ierīcēm (vienam lietotājam ar vienu un to pašu Adobe ID).

    Nepieciešamā programmatūra
    Lai lasītu šo e-grāmatu mobilajā ierīcē (tālrunī vai planšetdatorā), jums būs jāinstalē šī bezmaksas lietotne: PocketBook Reader (iOS / Android)

    Lai lejupielādētu un lasītu šo e-grāmatu datorā vai Mac datorā, jums ir nepieciešamid Adobe Digital Editions (šī ir bezmaksas lietotne, kas īpaši izstrādāta e-grāmatām. Tā nav tas pats, kas Adobe Reader, kas, iespējams, jau ir jūsu datorā.)

    Jūs nevarat lasīt šo e-grāmatu, izmantojot Amazon Kindle.

This two-volume set LNCS 12035 and 12036 constitutes the refereed proceedings of the 42nd European Conference on IR Research, ECIR 2020, held in Lisbon, Portugal, in April 2020.* 





The 55 full papers presented together with 8 reproducibility papers, 46 short papers, 10 demonstration papers, 12 invited CLEF papers, 7 doctoral consortium papers, 4 workshop papers, and 3 tutorials were carefully reviewed and selected from 457 submissions. They were organized in topical sections named:





Part I: deep learning I; entities; evaluation; recommendation; information extraction; deep learning II; retrieval; multimedia; deep learning III; queries; IR general; question answering, prediction, and bias; and deep learning IV.





Part II: reproducibility papers; short papers; demonstration papers; CLEF organizers lab track; doctoral consortium papers; workshops; and tutorials.

*Due to the COVID-19 pandemic, this conference was held virtually.
Reproducibility Papers.- Knowledge Graph Entity Alignment with Graph
Neural Networks: Lessons Learned.- The Effect of Content-Equivalent
Near-Duplicates on the Evaluation of Search Engines.- From MaxScore to
Block-Max WAND: The Story of How Lucene Significantly Improved Query
Evaluation Performance.- Which BM25 Do You Mean? A Large-Scale
Reproducibility Study of Scoring Variants.- The Unfairness of Popularity Bias
in Music Recommendation: A Reproducibility Study.- Reproducibility is a
Process, not an Achievement: The Replicability of IR Reproducibility
Experiments.- On the Replicability of Combining Word Embeddings and Retrieval
Models.- Influence of Random Walk Parametrization on Graph Embeddings.- Short
Papers.- Calling attention to passages for biomedical question answering.-
Neural Embedding-based Metrics for Pre-Retrieval Query Performance
Prediction.- A Latent Model for Ad Hoc Table Retrieval.- Hybrid Semantic
Recommender System for Chemical Compounds.- Assessing the Impact of OCR
Errors in Information Retrieval.- Towards Query Logs for Privacy Studies: On
Deriving Search Queries from Questions.- Machine-actionable data management
plans: A knowledge retrieval approach to automate the assessment of funders
requirements.- Session-based Path Prediction by Combining Local and Global
Content Preferences.- Unsupervised Ensemble of Ranking Models for News
Comments Using Pseudo Answers.- Irony Detection in a Multilingual Context.-
Document Network Projection in Pretrained Word Embedding Space.- Supervised
Learning Methods for Diversification of Image Search Results.- ANTIQUE: A
Non-Factoid Question Answering Benchmark.- Neural Query-biased Abstractive
Summarization Using Copying Mechanism.- Distant Supervision for Extractive
Question Summarization.- Text-Image-Video Summary Generation using Joint
Integer Linear Programming.- Domain Adaptation via Context Prediction for
Engineering Diagram Search.- Crowdsourcing Truthfulness: The Impact of
Judgment Scale and Assessor Bias.- Novel and Diverse Recommendations by
Leveraging Linear Models with User and Item Embeddings.- A Multi-task
Approach to Open Domain Suggestion Mining using Language Model for Text
Over-sampling.- MedLinker: Medical Entity Linking with Neural Representations
and Dictionary Matching.- Ranking Significant Discrepancies in Clinical
Reports.- Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval
Using Zero-shot Learning.- Semi-Supervised Extractive Question Summarization
Using Question-Answer Pairs.- Utilizing Temporal Psycholinguistic Cues for
Suicidal Intent Estimation.- PMD: An Optimal Transportation-based User
Distance for Recommender Systems.- On Biomedical Named Entity Recognition:
Experiments in Bilingual Transfer for Clinical and Social Media Texts.-
SlideImages: A Dataset for Educational Image Classification.- Rethinking
Query Expansion for BERT Reranking.- Personalized Video Summarization based
exclusively on User Preferences.- SentiInc :Incorporating Sentiment
Information into Sentiment Transfer without Parallel Data.- Dualism in
Topical Relevance.- Keyphrase Extraction as Sequence Labeling using
Contextualized Embeddings.- Easing Legal News Monitoring with Learning to
Rank and BERT.- Generating query suggestions for cross-language and
cross-terminology health information retrieval.- Identifying Notable News
Stories.- BERT for Evidence Retrieval and Claim Verification.- BiOnt: Deep
Learning using Multiple Biomedical Ontologies for Relation Extraction.- On
the Temporality of Priors in Entity Linking.- Contextualized Embeddings in
Named-Entity Recognition: An Empirical Study on Generalization.- DAKE:
Document-level Attention for Keyphrase Extraction.- Understanding depression
from psycholinguistic patterns in social media Texts.- Predicting the Size of
Candidate Document Set for Implicit Web Search Result Diversification.-
Aspect-based Academic Search using Domain-specific KB.- Dynamic Heterogeneous
Graph Embedding using Hierarchical Attentions.- DSR: A Collection for the
Evaluation of Graded Disease-Symptom Relations.- Demonstration Papers.- A
Web-based Platform for Mining and Ranking Association Rules.- Army ANT: A
Workbench for Innovation in Entity-Oriented Search.- A Search Engine for
Police Press Releases to Double-check the News.- Neural-IR-Explorer: A
Content-Focused Tool to Explore Neural Re-Ranking Results.- Revisionista.PT:
Uncovering the News Cycle using Web Archives.- MathSeer: A Math-Aware Search
Interface with Intuitive Formula Editing, Reuse, and Lookup.- NLPExplorer:
Exploring the Universe of NLP Papers.- Personal Research Assistant for Online
Exploration of Historical News.- QISS : an open source image similarity
search engine.- EveSense: What can you sense from Twitter?.- CLEF Organizers
Lab Track.- CheckThat! at CLEF 2020: Enabling the Automatic Identification
and Verification of Claims on Social Media.- Shared Tasks on Authorship
Analysis at PAN 2020.- Touché: FirstShared Task on Argument Retrieval.-
Introducing the CLEF 2020 HIPE Shared Task: Named Entity Recognition and
Linking on Historical Newspapers.- ImageCLEF 2020: Multimedia Retrieval in
Lifelogging, Medical, Nature, and Internet Applications.- LifeCLEF 2020
Teaser: Biodiversity Identification and Prediction Challenges.- BioASQ at
CLEF2020: Large-scale biomedical semantic indexing and question answering.-
eRisk 2020: self-harm and depression challenges.- Finding Old Answers to New
Math Questions: The ARQMath Lab at CLEF 2020.- ChEMU: Named Entity
Recognition and Event Extraction of Chemical Reactions from Patents.- Living
Labs for Academic Search at CLEF 2020.- CLEF eHealth Evaluation Lab 2020.-
Doctoral Consortium Papers.- Reproducible Online Search Experiments.-
Graph-Based Entity-Oriented Search: A Unified Framework in Information
Retrieval.- Graph databases for Information Retrieval.- Towards a better
Contextualization of Web Contents via Entity-level Analytics.- Incremental
Approach for Automatic Generation of Domain-Specific Sentiment Lexicon.-
Time-Critical Geolocation for Social Good.- Bibliometric-Enhanced Legal
Information Retrieval.- Workshops.- International Workshop on Algorithmic
Bias in Search and Recommendation (Bias 2020).- Bibliometric-enhanced
Information Retrieval 10th Anniversary Workshop Edition.- The 3rd
International Workshop on Narrative Extraction from Texts (Text2Story20)
(full day).- Semantic Indexing and Information Retrieval for Health from
heterogeneous content types and languages.- Tutorials.- Principle-to-program:
neural methods for similar question retrieval in online communities.- Text
Meets Space: Geographic Content Extraction, Resolution and Information
Retrieval.- The Role of Entity Repositories in Information Retrieval.