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EYRE 2020 : 3rd International Workshop on EntitY Retrieval and lEarning


When Oct 20, 2020 - Oct 20, 2020
Where Fully Online
Submission Deadline Jul 31, 2020
Notification Due Aug 15, 2020
Categories    entity retrieval   machine learning   deep learning   semantic search

Call For Papers

3rd International Workshop on EntitY Retrieval and lEarning (EYRE '20)
co-located with CIKM 2020
20 October 2020, Fully Online

The intention of over half of Web queries is to find a particular entity, or entities of a particular type. Entities and structured representations (i.e., knowledge graphs) became popular in the recent past and hence, tremendous interest is in this area at the moment. Beyond the traditional text-based retrieval and learning problems, the recent surge in entity-centered structured data on the Web like Wikidata and progress in deep and machine learning techniques enable more powerful entity-centered solutions, but also bring new challenges. The hybrid exploitation of unstructured and structured data and their use in experiments ranging from traditional machine learning to advanced deep learning techniques have led to diversified involvement of researchers and practitioners in the areas of IR, Database, Semantic Web, and Machine and Deep Learning. This workshop series provides a platform where interdisciplinary studies of entity retrieval and learning can be presented, and focused discussions can take place.

We also organize a shared task of entity summarization, in order to assess strengths and weaknesses of existing systems, compare performance of techniques, and enhance communication among researchers and developers.

========Workshop Theme and Topics========

The workshop welcomes contributions related to any aspect of entity retrieval and learning, including theories, algorithms, experiments, and applications. Relevant topics include but are not limited to the following:

Learning (rules and machine/deep learning) for entities and knowledge graphs
- Learning to rank techniques for entities and knowledge graphs
- Learning techniques for entity extraction/disambiguation/linking
- NLP and embeddings for entity and knowledge graph based retrieval
- Learning-based question answering over knowledge graphs
Retrieval models and ranking
- Models for entity search, ranking, and crawling
- Entity and knowledge graph based data integration
- Recommendations using entities and knowledge graphs
- Entity indexing mechanisms for efficient retrieval
Queries and query analysis
- Entity-centered query understanding
- Entity-centered query reformulation
- Entity-centered query suggestion
- Entity-centered query log analysis
User behavior and interfaces (proactive or reactive presentations)
- User models for entity search
- Interactive and personalized entity search
- Entity summarization and information/knowledge cards
- Visualization of entity-centered information
Domain-specific applications
- Local, mobile, and enterprise entity search
- Social networks in entity search
- Multimedia entity search
- Entity retrieval for domains and applications

========Submission Guidelines========

Manuscripts should be submitted electronically, as PDF formatted using the ACM camera-ready templates; please use sample-sigconf.tex as the template. Submissions are reviewed in a single-blind manner. Papers should be submitted through the EYRE '20 online submission system:

- Full research, empirical-study, industry papers: 6-8 pages
- Short, position, case-study, demo papers: 2-4 pages

Accepted papers will be included in the CIKM2020 compendium published by CEUR-WS, and hence will be reformatted following the CEUR style guidelines in the two-columned style (no page numbers). At least one author of each accepted paper is expected to attend the workshop and present.

========Shared Task========

We also organize a shared task of entity summarization. Selected contributions will be included in the workshop proceedings.

========Important Dates========

- Submission: July 31th, 2020 (Anywhere on Earth)
- Notification: August 15th, 2020

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