WIT2021: KDD2021 Workshop on Deriving Insights From User-Generated Text SIGKDD 2021 Singapore, Singapore, August 15, 2021 |
Conference website | http://www.megagon.ai/wit |
Submission link | https://easychair.org/conferences/?conf=wit2021 |
Submission deadline | June 4, 2021 |
Users from Web platforms and online services generate tremendous amounts of user-generated data in the form of search requests, reviews, questions, and answers. We believe there is tremendous opportunity to exploit advanced AI/NLP techniques on user-generated text data which are rich in user insights and experiences.
The WIT workshop provides a venue for researchers from the academia and industry to address challenges around harnessing text-heavy user-generated data that is available to different types of organizations, especially on topics pertaining to the pipeline of extracting data from unstructured text to a structured form to obtain insights. We will have a great line-up of Invited Speakers and Panelists.
Submission Guidelines
We encourage submissions that describe a well-defined piece of research or is thought-provoking. Submitted papers can be regular papers or extended abstracts. If there is sufficient interest from the authors of accepted papers, we may publish the post-proceedings at CEUR. The maximum length of a regular paper is 8 pages plus unlimited number of pages for references. The maximum length of an extended abstract is 4 pages plus unlimited number of pages for references. At least one author of every accepted paper is expected to attend the workshop. Regular papers will be given an oral presentation slot. Extended abstracts will be presented in the form of poster/demo/short talks, depending on the workshop schedule.
List of Topics
Topics will include but are not limited to , data cleaning, entity matching, schema matching, semantic search, summarization, language generation, (common-sense) knowledge-bases and information seeking Q&A/Dialogue.
- information extraction
- Data Cleaning
- Entity Matching
- Schema Matching
- Semantic Search
- Summarization
- Language Generation
- (commonsense) Knowledge Bases
- Information seeking Q&A/Dialogue
Committees
Organizing committee
- Estevam Hruschka - Megagon Labs
- Tom Mitchell - Carnegie Mellon University
- Marko Grobelnik - Josef Stefan Institute
- Behzad Golshan - Megagon Labs
Invited Speakers
- Luna Dong - Amazon
- Yunyao Li - IBM Research
- William Wang (UC Santa Barbara)
- Vagelis Papalexakis (UC River Side)
Contact
If you have any questions or inquiries regarding the workshop or need further information, please do not hesitate to send an email to wit@megaogn.ai.