International Workshop on Natural Language Processing Beyond Text

Event Notification Type: 
Call for Papers
Abbreviated Title: 
NLPBT 2020
Location: 
Colocated with EMNLP 2020
AttachmentSize
Plain text icon nlpbt_final_call_for_papers.txt3.81 KB
Friday, 20 November 2020
State: 
Country: 
Contact Email: 
City: 
Virtual
Contact: 
Giuseppe Castellucci (giusecas@amazon.com)
Submission Deadline: 
Saturday, 15 August 2020

NLP Beyond Text 2020 - Final Call for Papers

First International Workshop on Natural Language Processing Beyond Text (NLPBT 2020)
Co-located online with EMNLP 2020
https://sites.google.com/view/nlpbt-2020

Humans interact with each other through several means (e.g., voice, gestures, written text, facial expressions, etc.) and a natural human-machine interaction system should preserve the same modality. However, traditional Natural Language Processing (NLP) focuses on analyzing textual input to solve language understanding and reasoning tasks, and other modalities are only partially targeted.
This workshop aims to be a forum for both academia and industry researchers where new and unfinished research in the area of Multi/Cross-Modal NLP can be discussed. In particular, the focus of this workshop are (i) studying how to bridge the gap between NLP on spoken and written language and (ii) exploring how NLU models can be empowered by jointly analyzing multiple input sources, including language (spoken or written), vision (gestures and expressions) and acoustic (paralingustic) modalities.

Topics of interest
==================

Workshop topics include but are not limited to:

- Text pre-processing on ASR transcriptions
- Bridging the gap between NLU of written texts and SLU
- Multi/Cross-modal Natural Language Understanding
- Multi/Cross-modal Emotion/Sentiment Analysis
- Multi/Cross-modal Conversational Systems
- Multi/Cross-modal Machine Translation
- Multi/Cross-modal Question Answering
- Relevant resources and datasets for multi/cross-modal NLP

Important Dates
===============

All deadlines must be considered at 11.59pm GMT-12 (anywhere on Earth).

Submission Deadline: August 15, 2020
Retraction of papers accepted at EMNLP 2020: September 15, 2020
Acceptance Notification: September 29, 2020
Camera-ready version: October 10, 2020
Workshop: November 20, 2020

Dual Submission Policy
======================
EMNLP 2020 is allowing dual submissions between the main conference and the EMNLP 2020 workshops. We are giving the authors the possibility to submit to NLPBT 2020 papers submitted also to EMNLP 2020. To enable an optimal review process, it is required that authors submitting to NLPBT 2020 includes in their submission the paper ID of the submission at the main conference (if any). If a paper is accepted to the main conference, it must be retracted from NLPBT 2020.
We will require that the main conference reviews will be forwarded to the workshop. In any case, the NLPBT Program Committee will perform a review process by considering also the main conference reviews.

Instructions for Authors
========================

Papers must be submitted in PDF according to the ACL/EMNLP guidelines (https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines). Papers must be self-contained and in English; papers cannot exceed 8 pages of content, plus unlimited references for long papers and 4 pages of content, plus unlimited references for short papers.

Submissions are handled through Softconf: https://www.softconf.com/emnlp2020/nlpbt2020/

More details here: https://sites.google.com/view/nlpbt-2020/calls

Additional Information and Contact Details
===================================

The workshop is running a double-blind review process. In preparing your manuscript, do not include any information which could reveal your identity, or that of your co-authors. In your submission, you should eliminate all direct references to your own previous work. That is, avoid phrases such as "this contribution generalizes our results for XYZ". Also, please do not disproportionately cite your own previous work. In other words, make your submission as anonymous as possible. We need your cooperation in our effort to maintain a fair, double-blind reviewing process - and to consider all submissions equally.

https://sites.google.com/view/nlpbt-2020