[Corpora-List] [Call for short papers and abstracts] Workshop on Semantic Indexing and Information Retrieval for Health from heterogeneous content types and languages

Francisco Couto fcouto at di.fc.ul.pt
Wed Feb 5 16:14:32 CET 2020


Apologies for cross-postings and please help to disseminate

Call for short papers and abstracts ================

Deadline: March 9, 2020 for short papers and abstracts.

https://sites.google.com/view/siirh2020/

- Short papers: maximum 3 pages including references

- Abstracts: maximum 1 page including references

All submissions must be written in English following Springer LNCS author guidelines and submitted as PDF files to EasyChair. At least one author per paper needs to register and attend the workshop to present the work.

Topics ========

- multilingual and non-English health related IR, concept indexing and text categorization strategies; - generation of evaluation resources for health and biomedical document IR strategies; - scalability, robustness and reproducibility of health and biomedical IR and text mining resources; - use of specialized machine translation and advanced deep learning approaches for improving health related search results; - medical Question Answering search tools; - retrieval of multilingual health related web-content; - other related topics.

Workshop ========

The First Workshop on Semantic Indexing and Information Retrieval for Health from heterogeneous content types and languages (SIIRH2020) Held in conjunction with the 42nd European Conference on Information Retrieval (ECIR2020)

This workshop will be a forum where the community can present and discuss current and future directions for the area based on the experience and results obtained in the BioASQ MESINESP task (http://temu.bsc.es/mesinesp/).

In addition to the MESINESP session, the workshop will include an Open Session covering IR technologies for heterogeneous health-related content open to multiple languages with a particular interest in the exploitation of structured controlled vocabularies and entity linking.

Additional Information =========

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