[Lisa_seminaires] Amir Moravej, April 7, 13:45, Z209

Junyoung Chung elecegg at gmail.com
Ven 7 Avr 13:35:26 EDT 2017


Hi all,

we have a talk in 10 minutes!

--Junyoung

On Fri, Apr 7, 2017 at 12:50 PM, Junyoung Chung <elecegg at gmail.com> wrote:

> Hi all,
>
> we have a talk today by Amir Moravej from Botler AI.
> The room will be Z209 and starts at 13:45.
>
> Best,
> --Junyoung
>
> On Tue, Apr 4, 2017 at 8:29 PM, Junyoung Chung <elecegg at gmail.com> wrote:
>
>> Hi all,
>>
>> the next tea-talk will be given by Amir Moravej from BotlerAI.
>> The room will be Z209, and the talk starts at 13:45.
>>
>> Title: AI-Powered Immigration Chatbot
>>
>> About: Immigration Law refers to government policies which regulate the
>> right of entry, and residency right in each country. Immigration Law
>> absorbs features from other closely related areas of law, including
>> Administrative Law, Constitutional Law, Criminal Law, Tax Law etc. The
>> Immigration Process refers to a set oa steps an individual should take in
>> order to obtain a legal status under Immigration Law. Botler is a Chatbot
>> which automates Immigration Process. From a system perspective, the
>> immigration process can be modeled as a two steps process: Eligibility
>> Assessment, and Application Packaging. Botler models Eligibility Assessment
>> as a rule-based system initiative dialogue using a finite-state dialogue
>> manager which is modeled as a graph of action rules. Application Packaging
>> is a three step process: document authenticity, document relevance, and
>> packaging. Document authenticity is modeled using a CNN for image object
>> recognition. Document relevance is modeled using an OCR for content
>> extraction, and a text processing module to determine content relevancy.
>> Packaging is a two step process, filling out required forms, and creating a
>> map of required documents to the actual documents provided by the user.
>> Botlers’ dataset contains the largest Canadian immigration forum, tens of
>> thousands of conversations in the form of email threads between human legal
>> agents and users, more than five millions of Canadian immigration case
>> eligibility assessment results, and thousands of Immigration Law related
>> documents.
>>
>> Bio: Amir graduated as a software engineer in 2009, and came to Montreal
>> to continue his graduate studies at Concordia. He finished his Master's
>> degree in Quality Systems Engineering in 2012 and started working in
>> startups ever since. He contributed to the development of several projects,
>> including a content personalization platform for Relevant AI, a QA system
>> for Toti VT, a relevancy engine for nTerop, a data visualization platform
>> for Retinad VR, and the full stack of Squado app. He founded Botler AI in
>> 2016 after he faced several challenges with him immigration process.
>>
>> Best,
>> --Junyoung
>>
>
>
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