[Event at CIG] [CFP] 1st ICDAR International workshop on Machine vision and NLP for Document Analysis (VINALDO)

[rafika boutalbi]

>
> Dear colleagues and researchers,
>
>
>
> *1st International workshop on Machine vision and NLP for Document
> Analysis (VINALDO)*
>
> *https://sites.google.com/view/vinaldo-workshop-icdar-2023/home*
> <https://sites.google.com/view/vinaldo-workshop-icdar-2023/home>
>
> *As part of the 17th International Conference on Document Analysis and
> Recognition*
>
> (ICDAR 2023)
>
> *https://icdar2023.org/
> <https://streaklinks.com/BXBi2-i9_SjRqQcRPgs5ZAqi/https%3A%2F%2Ficdar2023.org%2F?email=boutalbi.rafika%40gmail.com>*
>
> *August 21-26, 2023 — San José, California, USA*
>
>
>
> Context
>
> Document understanding is essential in various application areas such as
> data invoice extraction, subject review, medical prescription analysis,
> etc., and holds significant commercial potential. Several approaches are
> proposed in the literature, but datasets' availability and data privacy
> challenge it. Considering the problem of information extraction from
> documents, different aspects must be taken into account, such as (1)
> document classification, (2) text localization, (3) OCR (Optical Character
> Recognition), (4) table extraction, and (5) key information detection.
>
> In this context, machine vision and, more precisely, deep learning models
> for image processing are attractive methods. In fact, several models for
> document analysis were developed for text box detection, text extraction,
> table extraction, etc. Different kinds of deep learning approaches, such as
> GNN, are used to tackle these tasks. On the other hand, the extracted text
> from documents can be represented using different embeddings based on
> recent NLP approaches such as Transformers. Also, understanding spatial
> relationships is critical for text document extraction results for some
> applications such as invoice analysis.  Thus, the aim is to capture the
> structural connections between keywords (invoice number, date, amounts) and
> the main value (the desired information). An effective approach requires a
> combination of visual (spatial) and textual information.
>
> Objective
>
> The first edition of the machine VIsion and NAtural Language processing
> for DOcument analysis (VINALDO)  workshop comes as an extension of the
> GLESDO workshop, where we encourage the description of novel problems or
> applications for document analysis in the area of information retrieval
> that has emerged in recent years. We also encourage works that include NLP
> tools for extracted text, such as language models and Transforms.  Finally,
> we also encourage works that develop new scanned document datasets for
> novel applications.
>
> The VINALDO workshop aims to bring together an area for industry, science,
> and academia experts to exchange ideas and discuss ongoing research in
> graph representation learning for scanned document analysis.
>
> Topics of interests
>
> We invite the submission of original works that are related -- but are not
> limited to -- the topics below:
>
>    -
>
>    Document structure and layout learning
>    -
>
>    OCR based methods
>    -
>
>    Semi-supervised methods for document analysis
>    -
>
>    Dynamic graph analysis
>    -
>
>    Information Retrieval and Extraction form documents
>    -
>
>    Knowledge graph for semantic document analysis
>    -
>
>    Semantic understanding of document content
>    -
>
>    Entity and link prediction in graphs
>    -
>
>    Merging ontologies with graph-based methods using NLP techniques
>    -
>
>    Cleansing and image enhancement techniques for scanned document
>    -
>
>    Font text recognition in a scanned document
>    -
>
>    Table identification and extraction from scanned documents
>    -
>
>    Handwriting detection and recognition in documents
>    -
>
>    Signature detection and verification in documents
>    -
>
>    Visual document structure understanding
>    -
>
>    Visual Question Answering
>    -
>
>    Invoice analysis
>    -
>
>    Scanned documents classification
>    -
>
>    Scanned documents summarization
>    -
>
>    Scanned documents translation
>    -
>
>    Graph-based approaches for a spatial component in a scanned document
>    -
>
>    Graph representation learning for NLP
>
> Submission
>
> The workshop is open to original papers of theoretical or practical
> nature. Papers should be formatted according to LNCS instructions for
> authors
> <https://streaklinks.com/BaPft0cQ0AjwJZn7lAvT8yLc/https%3A%2F%2Fwww.springer.com%2Ffr>.
> VINALDO 2023 will follow a double-blind review process. Authors should not
> include their names and affiliations anywhere in the manuscript. Authors
> should also ensure that their identity is not revealed indirectly by citing
> their previous work in the third person and omitting acknowledgments until
> the camera-ready version. Papers have to be submitted via the workshop's
> EasyChair
> <https://streaklinks.com/BaPft0cmZn5QE4P6fgq4prXL/https%3A%2F%2Feasychair.org%2Fconferences%2F%3Fconf%3Dvinaldo1> submission
> page.
>
> We welcome the following types of contributions:
>
>    -
>
>    Full research papers (12-15 pages): Finished or consolidated R&D works
>    to be included in one of the Workshop topics
>    -
>
>    Short papers (6-8 pages): ongoing works with relevant preliminary
>    results, opened to discussion.
>
> At least one author of each accepted paper must register for the workshop
> in order to present the paper. For further instructions, please refer to the
>
> <https://streaklinks.com/BaPft0U0dGAGgr35vQQhY29o/https%3A%2F%2Fwww.google.com%2Furl%3Fq%3Dhttps%253A%252F%252Ficdar2021.org%252F%26sa%3DD%26sntz%3D1%26usg%3DAOvVaw0W4EcU263Y1GNomxyRFH3n>ICDAR
> 2023
> <https://streaklinks.com/BaPft0c6esXZ2-EjWQ9Vlysy/https%3A%2F%2Ficdar2023.org%2F>
>  page.
>
> Important dates
>
> *Submission Deadline: May 1st, 2023 at 11:59pm Pacific Time*
>
> Decisions Announced: May 28, 2023, at 11:59pm Pacific Time
>
> Camera Ready Deadline: June 4, 2023, at 11:59pm Pacific Time
>
> Workshop: August 24-26, 2023
>
> Workshop Chairs
>
> Rim Hantach
> <http://rim.hantach%40gmail.com%20%3Crim.hantach@gmail.com%3E%3B/>,
> Engie, France
>
> Rafika Boutalbi
> <https://streaklinks.com/BaPft0YTU38Y9_YkUgguo6qX/http%3A%2F%2Frafika.boutalbi%40univ-amu.fr%2F>,
> Aix-Marseille University, France
> ᐧ
>