Call for Papers
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
Camera-ready: September 10th, 2020
Organizers
Gong Cheng, Nanjing University, China
Kalpa Gunaratna, Samsung Research America, USA
Jun Wang, University College London, UK