NLP Beyond Text - 1st Workshop on Cross/Multi modal Natural Language Processing

NLPBT - 2020


Artificial Intelligence



NLP Beyond Text 2020 - First International Workshop on Natural Language Processing Beyond Text (NLPBT 2020)
Description
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: July 20, 2020
Acceptance Notification: September 22, 2020
Camera-ready version: October 16, 2020
Workshop: November 18-19, 2020
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/
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.