Mon, Jan 14 | TUSPARK啟迪中心

PhD x Biz Meetup - Conversation AI & NLP Trend 2019

Registration is Closed

Time & Location

Jan 14, 2019, 7:00 PM – 9:00 PM
TUSPARK啟迪中心, 118號 Wai Yip St, Kwun Tong, Hong Kong

About the Event

Topic: Conversation AI & NLP Trend 2019

Date: 14th Jan 2019 (Mon)

Time: 7pm – 9pm

Venue: Tuspark HK, 118 Wai Yip Street, Kwun Tong

By Train

• MTR: Ngau Tau Kok Station, Exit B6

• Walk straight along Lai Yip Street

• After walking past Tsui Wah Group Centre, cross over to Wai Yip Street at the next traffic junction you see (you will be in front of C-BONS International Centre Podium)

• Turn left and walk along Wai Yip Street for about 1-2 mins; TusParkHK Innovation Hub will be on your right


Opening – 5 mins

First PhD speaker – 15 mins

Chris Choy

• Cofounder of Allorux

• University of Oxford - PhD of Statistics

• Topic: Review of existing open source and commercial API for NLP. Limitations of such tools and opportunities for startups. Description: There are now mature tools for NLP available in open source or as commercial API. In this talk, I would demonstrate how some of the advanced analysis can be done easily with such tools. I would discuss some of the limitations of current tools and how these limitations have created opportunities for startups in Hong Kong.

• Bio: I am a Data Scientist based in Hong Kong. I am currently building a solution to accelerate qualitative data analysis in user research. I have previously worked in BASF and Clutertech building data-driven solutions in automation, pricing, customer analytics and forecasting in retail, banking and manufacturing industries. Before working in industry, I got my DPhil in Statistics from Oxford University.

Second speaker – 15 mins

Ji Ho Park

• Machine Learning Engineer (NLP) of Oyalabs

• Postgraduate Researcher of HKUST Human Language Technology Center

• Topic: Exploiting Knowledge From Others: NLP Research Trend of using pre-trained models

• Description: This talk will give a short introduction to the NLP research trend of using models pre-trained on another dataset or even a different task to improve the downstream task. For example, can a knowledge learned from predicting emojis inside tweets be transferred to sentiment analysis? Can language models help on question & answering tasks? 2018’s hottest research papers in the NLP community, such as ELMO or BERT, will be introduced along with the speaker’s own work related to sentiment/emotion analysis.

• Bio: Ji Ho is from Korea but lived in HK for almost 6 years. He graduated from Hong Kong University of Science and Technology (HKUST) with a Master of Philosophy(MPhil). His research area is in natural language processing and machine learning, especially on sentiment/emotion analysis and automatic abusive language detection. Now he is currently working at Oyalabs, a HK baby-tech startup as a machine learning engineer (NLP).

Third PhD speaker – 15 mins

Gautier Marti

• Scientist of Shell Street Labs

• Ecole polytechnique - PhD of Machine Learning

• Topic: TBC - NLP application and trend in Quant Finance

• Bio: Gautier is an experienced Research Scientist with a demonstrated history of working in the financial services industry. Skilled in Credit Default Swaps, Computer Science, Theoretical Computer Science, Data Visualization and Parsing. Strong research professional with a Doctor of Philosophy (Ph.D.) focused in Machine Learning - Quantitative Finance from Ecole Polytechnique."

Panel discussion – 45 mins

PhD speakers + 2 enterprise panellists + 1 moderator

Suggested topic (but not limited to):

- State of art technology of NLP and text analytic

- Commercial applications today and future

- Current barrier in this technology

- New development and deployment to be seen in next 1~3 years

Networking – 30 mins

Please register your seats in this eventbrite link:

Registration is Closed
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