Close

AI Natural Language Research

Research on interactions between
computers and human languages

Natural language processing (NLP) is a branch of artificial intelligence concerned with interactions
between computers and human languages. Our research covers the key components of NLP,
including question answering systems, machine reading comprehension, dialogue systems,
text analysis, and corpus creation.

Text Analytics

By utilizing natural language processing technology, text-based services such as topic classification, text summary, and sentiment analysis can be provided, and work efficiency can be improved.

Components of a TA engine

Text Analytics

Multimodal Deep Learning

AI learns from data of various modalities by imitating human cognitive learning methods. This technology is used in AI services for seamless collaboration with humans.

  • What does “multimodal” mean?
    It stands for multimodal interaction, which means the exchange of data between humans and machines using various modalities, such as a voice, keyboard, pen, and video.
  • What is multimodal data?
    It refers to data collected from various sources that represent one piece of information.

Multimodal Overview Architecture

Multimodal Deep Learning

Research
papers

  • Yoonjong Choe et al., 2021, “Personalized Recipe Recommendation Service Using Food2Vec,” 2021 Fall Conference of the Korea Society of IT Services 

    Download
  • Seungkyu Jo et al, 2021, “Design and Development of Outdoor Advertising Media Recommendation Service Using Deep Interest Network,” 2021 Fall Conference of the Korea Society of IT Services 

    Download
  • Hyeyoung Moon et al., 2021, “B2B Recommendation System Based on Customer Behavior Analysis Using Deep Learning,” 2021 Fall Conference of the Korea Society of IT Services 

    Download
  • Sanggi Ryu et al., 2021, "Development of Offline Outdoor Advertising Recommendation System Using Negative Sampling and Deep Interest Network," 2021 Spring Joint Conference of the Korean Institute of Industrial Engineers

    Download

Patent
applications

  • 10-2020-0152916 Deep Learning-based Dynamic Pricing System and Method, application
  • 10-2019-0134426 Document Screening System Using Artificial Intelligence, application
  • 10-2078282 Invoice Category Classification Automation System Using Deep Learning, registration

Would you like
to inquire now?

Please submit your inquiry,
and we will respond as soon as possible.

T.
E.

No attachment found

* You can send up to 10 MB in attachments. Supported file formats: zip, pdf, hwp, ppt, pptx, doc, docx, xls, xlsx, jpg, jpeg, png, gif

Consent to the Collection and Use of Personal Information (Required)

1. Purpose: Provision of responses for customer inquiries and management of inquiry status
2. Collection Items: Name, contact information, e-mail address, company (affiliation)
3. Retention Period: For 36 months from the date on which the consent is given

You have the right to refuse to provide consent to the collection and use of your personal information. However, please note that if you fail to provide consent, the submission of your inquiry will be restricted.

※ CJ OliveNetworks does not collect the personal information of a minor under the age of 14.

Contact Us

No attachment found

* You can send up to 10 MB in attachments. Supported file formats: zip, pdf, hwp, ppt, pptx, doc, docx, xls, xlsx, jpg, jpeg, png, gif

Consent to the Collection and Use of Personal Information (Required)

1. Purpose: Provision of responses for customer inquiries and management of inquiry status
2. Collection Items: Name, contact information, e-mail address, company (affiliation)
3. Retention Period: For 36 months from the date on which the consent is given

You have the right to refuse to provide consent to the collection and use of your personal information. However, please note that if you fail to provide consent, the submission of your inquiry will be restricted.

※ CJ OliveNetworks does not collect the personal information of a minor under the age of 14.