Call for Papers

Submission website: https://softconf.com/ijcnlp2023/WorkshopNLI2023/

Dates

All deadlines are AOE(Anywhere on earth)

• Workshop Paper Due Date: September 22, 2023 September 15, 2023 August 18, 2023
• Notification of acceptance: October 2, 2023
• Camera-ready papers due: October 15, 2023
• Workshop date: November 1, 2023

List of Topics 

This workshop aims to bring together researchers and practitioners from different communities related to NLIs. As such, the workshop welcomes and covers a wide range of topics around NLIs, including (non-exclusively):

• Inference on large knowledge graphs/ tables/ structured documents
• Inference over multiple multi modal documents (both structured and unstructured)
• Conversational QA
• Dialog Systems
• Intent detection, slot filing
• Summarize retrieved details from multiple documents
• Speech interface related issues
• Generalizable natural language interfacing models for different (kinds of) underlying data
• Personalization
• Life-long learning
• Explainability

Submission Guidelines

We welcome two types of papers: regular workshop papers and cross-submissions. Only regular workshop papers will be included in the workshop proceedings. All submissions should be in PDF format and made through the Softconf website set up for this workshop . In line with the ACL main conference policy, camera-ready versions of papers will be given one additional page of content.

• Regular workshop papers: Authors should submit a long paper of up to 8 pages, with unlimited pages for references (references only; appendix should be included in the main text and counted towards the page limit), or a short paper of up to 4 pages, with unlimited pages for references, following the ACL 2019 formatting requirements. The reported research should be substantially original. All submissions will be reviewed in a single track, regardless of length. Accepted papers will be presented as posters, and best papers may be given the opportunity for a brief talk to introduce their work. Reviewing will be double-blind, and thus no author information should be included in the papers; self-reference that identifies the authors should be avoided or anonymised. Accepted papers will appear in the workshop proceedings.