Country for PR: Japan
Contributor: Kyodo News JBN
Friday, January 17 2020 - 16:00
AsiaNet
AI Start-up ExaWizards Launches "Qontextual," FAQ Search Engine
TOKYO, Jan. 17, 2020 /Kyodo JBN-AsiaNet/--

- AI Immediately Learns Q&A with Excel Data, Automatically Analyzes It Based on 
Context of Question, and Gives Answers -

ExaWizards Inc. (hereinafter, "ExaWizards"), a Tokyo-based firm specializing in 
development of AI-enabled services for industrial innovation and social 
problems solutions, launched "Qontextual," a FAQ search engine, on Thursday, 
January 16, 2020.

- Can be used for a wide range of purposes such as sophisticated search, call 
  centers, chatbots, manual search, and counter operations.

Qontextual is an engine that solves various issues related to text, such as 
Q&A, text classification, and meaning search. It can be used for a wide range 
of operations, including sophistication of search within a website, support for 
call center and counter operations, accuracy improvement for chatbot answers, 
sophistication of search within in-house manuals, etc., and substitution of 
manuals for technical jobs.

By simply uploading a company's Q&A data as Excel files, AI immediately learns 
it, automatically analyzes and searches answers best suited to the purpose of 
the search based on the context of the question, and it displays them in an 
appropriate order. This allows the company to introduce high-quality services 
in an easier and quicker manner than via traditional Q&A systems.

(Logo: 
https://kyodonewsprwire.jp/prwfile/release/M105885/202001105604/_prw_PI1fl_PFhjC20j.jpg)


- Solves issues such as difficulty in finding appropriate answers and the huge 
  workload required for introduction and maintenance.

Implementation of a Q&A system with a traditional language processing tool 
threw up issues such as difficulty in getting appropriate answers when 
searching with natural text as well as the huge workload required for 
introduction and maintenance, including category settings and classification of 
frequently asked questions.

With simple architecture and pre-learned natural language data, Qontextual 
solves multiple tasks in different data sets faster than traditional systems. 
Excelling at solving natural language tasks such as Q&A, text classification, 
and meaning search, Qontextual gives answers based on the context of the 
question in addition to words and also contributes to improving Q&A data. AI 
automatically analyzes and displays the sought answers based on search history, 
which reduces the workload required for introduction and maintenance, and makes 
business operations more efficient.

A paper by a Qontextual development engineer was selected by ACL, the authority 
in the field of natural language processing, in June 2019.
An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese
Enkhbold Bataa: ExaWizards Inc./Tokyo, Japan 
https://www.aclweb.org/anthology/P19-1458
Qontextual can be utilized for any natural language processing tasks, not only 
sentiment analysis adopted in the paper.

Overview of Qontextual services
Features:
(1) Able to give answers based on the context of the question
- Able to answer searches with natural text thanks to the general-purpose 
  language expression model based on deep learning
- AI automatically searches answers best suited to the purpose of the search 
  based on the context of the question and gives answers in an appropriate order

(2) Able to learn and re-learn Q&A data faster
- Able to immediately vectorize and utilize Q&A data
- Users only need to upload data in Excel or CSV format

(3) Equipped with a reporting function
- Examines what kind of searches are actually made based on similar contexts and
  shows the ranking

(4) Multiple languages support
- Able to respond to questions in multiple languages, including Japanese, 
  English, Chinese and others.

Applicable cases:
- Sophistication of search within a website
- Support for call center operations
- Support for counter operations
- Accuracy improvement for chatbot answers
- Sophistication of search within in-house manuals, etc.
- Substitution of manuals for technical jobs

Qontextual URL:
https://www.qontextual.jp/

Profile of ExaWizards Inc.
Company name: ExaWizards Inc.
Address: 5F, Sumitomo Hamamatsucho Bldg., Hamamatsu-cho 1-18-16, Minato-ku, 
Tokyo 
Founded: February 2016
Representative: Representative Director & President: Ko Ishiyama
Business: Development of AI-enabled services for industrial innovation and 
solving social problems
URL: https://exawizards.com/en/
Qontextual Help Desk Email: info[at]qontextual.jp


Source: ExaWizards Inc.