Advances in Information Retrieval

Advances in Information Retrieval
Author: Djoerd Hiemstra
Publisher: Springer Nature
Total Pages: 808
Release: 2021-03-26
Genre: Computers
ISBN: 3030721132

This two-volume set LNCS 12656 and 12657 constitutes the refereed proceedings of the 43rd European Conference on IR Research, ECIR 2021, held virtually in March/April 2021, due to the COVID-19 pandemic. The 50 full papers presented together with 11 reproducibility papers, 39 short papers, 15 demonstration papers, 12 CLEF lab descriptions papers, 5 doctoral consortium papers, 5 workshop abstracts, and 8 tutorials abstracts were carefully reviewed and selected from 436 submissions. The accepted contributions cover the state of the art in IR: deep learning-based information retrieval techniques, use of entities and knowledge graphs, recommender systems, retrieval methods, information extraction, question answering, topic and prediction models, multimedia retrieval, and much more.

Experimental IR Meets Multilinguality, Multimodality, and Interaction

Experimental IR Meets Multilinguality, Multimodality, and Interaction
Author: K. Selçuk Candan
Publisher: Springer Nature
Total Pages: 487
Release: 2021-09-14
Genre: Computers
ISBN: 3030852512

This book constitutes the refereed proceedings of the 12th International Conference of the CLEF Association, CLEF 2021, held virtually in September 2021. The conference has a clear focus on experimental information retrieval with special attention to the challenges of multimodality, multilinguality, and interactive search ranging from unstructured to semi structures and structured data. The 11 full papers presented in this volume were carefully reviewed and selected from 21 submissions. This year, the contributions addressed the following challenges: application of neural methods for entity recognition as well as misinformation detection in the health area, skills extraction in job-match databases, stock market prediction using financial news, and extraction of audio features for podcast retrieval. In addition to this, the volume presents 5 “best of the labs” papers which were reviewed as full paper submissions with the same review criteria. 12 lab overview papers were accepted and represent scientific challenges based on new data sets and real world problems in multimodal and multilingual information access.

KI 2019: Advances in Artificial Intelligence

KI 2019: Advances in Artificial Intelligence
Author: Christoph Benzmüller
Publisher: Springer Nature
Total Pages: 366
Release: 2019-09-09
Genre: Computers
ISBN: 3030301796

This book constitutes the refereed proceedings of the 42nd German Conference on Artificial Intelligence, KI 2019, held in Kassel, Germany, in September 2019. The 16 full and 10 short papers presented together with 3 extended abstracts in this volume were carefully reviewed and selected from 82 submissions. KI 2019 has a special focus theme on "AI methods for Argumentation" and especially invited contributions that use methods from all areas of AI to understand, formalize or generate argument structures in natural language.

Authorship Attribution

Authorship Attribution
Author: Patrick Juola
Publisher: Now Publishers Inc
Total Pages: 116
Release: 2008
Genre: Authorship, Disputed
ISBN: 160198118X

Authorship Attribution surveys the history and present state of the discipline, presenting some comparative results where available. It also provides a theoretical and empirically-tested basis for further work. Many modern techniques are described and evaluated, along with some insights for application for novices and experts alike.

An Introduction to Neural Information Retrieval

An Introduction to Neural Information Retrieval
Author: Bhaskar Mitra
Publisher: Foundations and Trends (R) in Information Retrieval
Total Pages: 142
Release: 2018-12-23
Genre:
ISBN: 9781680835328

Efficient Query Processing for Scalable Web Search will be a valuable reference for researchers and developers working on This tutorial provides an accessible, yet comprehensive, overview of the state-of-the-art of Neural Information Retrieval.