The Seventh Workshop on e-Commerce and NLP (ECNLP 7)
Co-located with LREC-COLING 2024 in Torino, Italy – May 21, 2024
https://sites.google.com/view/ecnlp/
Submission Deadline: Friday Feb 23, 2024 - 23:59pm (AoE)

ECNLP focuses on NLP for e-Commerce and online shopping applications. We welcome papers covering all aspects on online commerce and data, including search, retrieval, and customer-facing applications and tasks.
Important Dates

Submission Deadline: Friday Feb 23, 2024 - 23:59pm (AoE)
Acceptance Notification: Friday March 29, 2024
Camera-ready versions: Friday April 12, 2024
Workshop: Tuesday May 21, 2024

Instructions for Authors
Papers must be submitted in PDF format using the official LREC-COLING template. More details available on the website.

Additional Information and Contact Details
https://sites.google.com/view/ecnlp/home/

Workshop Scope
ECNLP invites quality research contributions as short or long papers. All submissions will undergo a double-blind review process, and accepted submissions will be presented at the workshop.

NLP and IR have been powering e-Commerce applications since the early days of the fields. Today, NLP and IR already play a significant role in e-commerce tasks, including product search, recommender systems, product question answering, machine translation, sentiment analysis, product description and review summarization, and customer review processing, among many other tasks. With the exploding popularity of chatbots and shopping assistants – both text- and voice-based – NLP, IR, question answering, and dialogue systems research is poised to transform e-commerce once again, but requires a forum where new and unfinished ideas could be discussed.

The ECNLP workshop will provide a venue for the dissemination of NLP and IR research results related to e-commerce and online shopping, bringing together researchers from both academia and industry. The workshop welcomes submission of late-breaking and preliminary research results, as well as opinion and position papers.

Topics of interest include but are not limited to:
- Product classification and cataloguing (including into types and hierarchies)
- NER for products, brands, attributes, and part names
- Search and product query auto-completion
- Recommender systems and product suggestions
- Machine Translation applied to e-commerce (e.g. translating product titles/reviews)
- Voice & dialogue-based e-commerce applications; ASR for e-commerce
- Advertising and ad prediction/forecasting models
- Fraud and spam detection in e-commerce (e.g. in customer reviews/comments)
- Product description and review summarization
- Product similarity and matching of seller-provided listings to catalog products
- Technical support request processing (user emails, chat agents, etc.)
- E-commerce related social media processing
- The intersection of Computer Vision and NLP (e.g. product images and text)
- Product Question Answering
- Shopping assistants, agents, and chat bots
- Sentiment analysis, opinion mining, and stance detection in user-generated content
- Relevant resources and datasets

Thank you,
The ECNLP Organizing Committee