We solicit two types of submissions: full papers and short papers for three tracks: research, demo, and summarization task. Full papers will be limited to 8 pages (including references); short papers will be 4 pages (including references).
The submissions will be peer-reviewed by at least two program committee members and evaluated based on innovativeness, novelty, interestingness, and impact. We plan for three tracks:
- Novel applications of existing state of the art methods for the IP domain
- Novel methods or tasks in the IP domain
- Novel user interfaces for the IP domain
- Novel evaluation or analysis insights in the IP domain
- Novel benchmark datasets or other resources of interest
- A survey or overview related to a particular task in the IP domain
- We solicit demos, case study, insights, or novel ideas from industry that present
- Focused case studies making use of semantic technologies or machine learning
- Interesting IP-related task descriptions or best practices for patent analysis
- In-use systems or prototype implementations of semantic technologies
- Demos on processing or analysing data from the IP domain, or user interfaces
- In-use resources related to patents or external resources, e.g., linked open data.
Summarization Task Track
- Within the patent text mining community, especially from the industry, there is an interest in developing text mining tools targeting text summarization.
- Participants are free to use publicly available data sets to train their models. We recommend exploring US Patents, which many contain the text section SUMMARY OF THE INVENTION.
- We will also publish a small training and test data set on the 23rd of February. The provided data set is composed of patents within the field of Green Plastics Technology.
- Participants are asked to submit a short (4 pages) scientific paper, which will be peer-reviewed by the workshop organizers. The most interesting submissions will be invited to present their solution at the workshop.
- Furthermore, we will have an additional interactive evaluation to reflect a more real-life scenario at the workshop, making it possible to evaluate not only the performance in terms of F1, ROUGE, recall, precision etc., but also efficiency. Therefore the invited participants will be asked to set-up their solutions as a service and provide a REST API. Input will be a patent document (PDF,DOCX), and output should be a summary of not more than 700 words.