AI Dialogue System for Conversational Commerce in FinTech Host: - - PowerPoint PPT Presentation

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AI Dialogue System for Conversational Commerce in FinTech Host: - - PowerPoint PPT Presentation

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Tamkang University AI Dialogue System for Conversational Commerce in FinTech Host: Prof. Cheng-Zen Yang Yuan Ze University Time: 14:00-16:00, 2019/12/04 (Wednesday) Place: 1309, Building 1, Yuan Ze University (YZU) Address: 135 Yuan-Tung

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SLIDE 1 1 Tamkang University

AI Dialogue System for Conversational Commerce in FinTech

Host: Prof. Cheng-Zen Yang

Yuan Ze University Time: 14:00-16:00, 2019/12/04 (Wednesday) Place: 1309, Building 1, Yuan Ze University (YZU) Address: 135 Yuan-Tung Road, Chung-Li, Taiwan

Min-Yuh Day Associate Professor

  • Dept. of Information Management,

Tamkang University

http://mail. tku.edu.tw/myday/ 2019-12-04
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Min-Yuh Day, Ph.D.

Associate Professor, Information Management, TKU Visiting Scholar, IIS, Academia Sinica Ph.D., Information Management, NTU

Publications Co-Chairs, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013- ) Program Co-Chair, IEEE International Workshop on Empirical Methods for Recognizing Inference in TExt (IEEE EM-RITE 2012- ) Workshop Chair, The IEEE International Conference on Information Reuse and Integration (IEEE IRI)

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Outline

  • AI Dialogue System
  • Conversational Commerce
  • FinTech
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AI Dialogue System

4
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AIWISFIN AI Conversational Robo-Advisor ()

5 https://www.youtube.com/watch?v=sEhmyoTXmGk

First Place, InnoServe Awards 2018

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  • Annual ICT application competition held for

university and college students

  • The largest and the most significant contest in

Taiwan.

  • More than ten thousand teachers and

students from over one hundred universities and colleges have participated in the Contest.

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2018 The 23th International ICT Innovative Services Awards (InnoServe Awards 2018)

https://innoserve.tca.org.tw/award.aspx
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2018 International ICT Innovative Services Awards (InnoServe Awards 2018) (201823)

7 https://innoserve.tca.org.tw/award.aspx
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SLIDE 8 8

IMTKU Emotional Dialogue System for Short Text Conversation at NTCIR-14 STC-3 (CECG) Task

NTCIR-14 Conference, June 10-13, 2019, Tokyo, Japan Tamkang University
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SLIDE 9 NTCIR-9 Workshop, December 6-9, 2011, Tokyo, Japan myday@mail.tku.edu.tw

Department of Information Management Tamkang University, Taiwan

Chun Tu

Min-Yuh Day

IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-9 RITE

Tamkang University Tamkang University

2011

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IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-10 RITE-2

Tamkang University

myday@mail.tku.edu.tw NTCIR-10 Conference, June 18-21, 2013, Tokyo, Japan

Department of Information Management Tamkang University, Taiwan

Chun Tu Hou-Cheng Vong Shih-Wei Wu Shih-Jhen Huang

Min-Yuh Day

Tamkang University

2013

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SLIDE 11

Ya-Jung Wang Min-Yuh Day

Che-Wei Hsu Huai-Wen Hsu

En-Chun Tu

IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-11 RITE-VAL

2014

Yu-Hsuan Tai

Shang-Yu Wu Cheng-Chia Tsai NTCIR-11 Conference, December 8-12, 2014, Tokyo, Japan

Tamkang University

Yu-An Lin

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IMTKU Question Answering System for World History Exams at NTCIR-12 QA Lab2

myday@mail.tku.edu.tw NTCIR-12 Conference, June 7-10, 2016, Tokyo, Japan Min-Yuh Day Cheng-Chia Tsai Wei-Chun Chung Hsiu-Yuan Chang Yuan-Jie Tsai Jin-Kun Lin Yue-Da Lin Wei-Ming Chen Yun-Da Tsai Cheng-Jhih Han Yi-Jing Lin Yu-Ming Guo Tzu-Jui Sun Yi-Heng Chiang Ching-Yuan Chien

Department of Information Management Tamkang University, Taiwan

Cheng-Hung Lee Tamkang University

2016

Sagacity Technology
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IMTKU Question Answering System for World History Exams at NTCIR-13 QALab-3

myday@mail.tku.edu.tw NTCIR-13 Conference, December 5-8, 2017, Tokyo, Japan

Department of Information Management Tamkang University, Taiwan

Tamkang University Yue-Da Lin I-Hsuan Huang Wanchu Huang Shi-Ya Zheng Tz-Rung Chen Min-Chun Kuo Yi-Jing Lin

2017

Min-Yuh Day Chao-Yu Chen
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IMTKU Emotional Dialogue System for Short Text Conversation at NTCIR-14 STC-3 (CECG) Task

myday@mail.tku.edu.tw

Department of Information Management Tamkang University, Taiwan

Tamkang University

2019

NTCIR-14 Conference, June 10-13, 2019, Tokyo, Japan Chi-Sheng Hung Min-Yuh Day Yi-Jun Xie Jhih-Yi Chen Yu-Ling Kuo Jian-Ting Lin
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IMTKU System Architecture for NTCIR-13 QALab-3

15 Question (XML)

Question Analysis Document Retrieval Answer Extraction Answer Generation

Stanford CoreNLP JA&EN Translator

Wikipedia

Answer (XML)

Complex Essay Simple Essay True-or-False Factoid Slot-Filling Unique Word Embedding Wiki Word2Vec

NTCIR-13 Conference, December 5-8, 2017, Tokyo, Japan
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System Architecture of Intelligent Dialogue and Question Answering System

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Question Analysis Document Retrieval Answer Extraction Answer Generation Answer Validation

Python NLTK Deep Learning TensorFlow IR

Dialogue KB

Deep Learning Answer

Dialogue Intention Detection User Question Input System Response Generator AIML KB AIML Dialogue Engine Real Time Dialogue API Cloud Resource

RNN LSTM GRU
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IMTKU Emotional Dialogue System Architecture

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Retrieval-Based Model Generation- Based Model Emotion

Classification

Model Response Ranking

NTCIR-14 Conference, June 10-13, 2019, Tokyo, Japan

4 3 1 2

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The system architecture of IMTKU retrieval-based model for NTCIR-14 STC-3

18 NTCIR-14 Conference, June 10-13, 2019, Tokyo, Japan

Post Retrieval- Based Response Corpus Keyword Boolean Query Solr Matching Distinct Result Data Building Index Word Segmentation Emotion Classification Word2Vec Similarity Ranking Emotion Matching

Retrieval Model

Retrieval-Based Model

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The system architecture of IMTKU generation-based model for NTCIR-14 STC-3

19 NTCIR-14 Conference, June 10-13, 2019, Tokyo, Japan

Post Generation-Based Response Training Data Seq2seq model Word Embedding Trained Model Building Word Index Word Segmentation Short Text Emotion Classifier Word2Vec Similarity Ranking Emotion Matching Training Data

Generation-Based Model

Generative Model

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The system architecture of IMTKU emotion classification model for NTCIR-14 STC-3

20 NTCIR-14 Conference, June 10-13, 2019, Tokyo, Japan

Corpus Emotion Prediction Emotion Classification Model Testing Dataset Training Dataset MLP LSTM BiLSTM Emotion Classification

Emotion Classification Model

3

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SLIDE 21 21 NTCIR-14 Conference, June 10-13, 2019, Tokyo, Japan STC3 Corpus Chinese Segmentation using Jieba Stop Words Removal Word2Vec 1.2 million data (300 dimensions) Vector of Corpus

Response Ranking

The system architecture of IMTKU Response Ranking for NTCIR-14 STC-3

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Short Text Conversation Task (STC-3) Chinese Emotional Conversation Generation (CECG) Subtask

22 Source: http://coai.cs.tsinghua.edu.cn/hml/challenge.html
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NTCIR Short Text Conversation STC-1, STC-2, STC-3

23 Source: https://waseda.app.box.com/v/STC3atNTCIR-14
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Conversational Commerce

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Chatbots: Evolution of UI/UX

25 Source: https://bbvaopen4u.com/en/actualidad/want-know-how-build-conversational-chatbot-here-are-some-tools
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Chatbot

Dialogue System Intelligent Agent

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Chatbot

27 Source: https://www.mdsdecoded.com/blog/the-rise-of-chatbots/
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Dialogue System

28 Source: Serban, I. V., Lowe, R., Charlin, L., & Pineau, J. (2015). A survey of available corpora for building data-driven dialogue systems. arXiv preprint arXiv:1512.05742.
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Overall Architecture of Intelligent Chatbot

29 Source: Borah, Bhriguraj, Dhrubajyoti Pathak, Priyankoo Sarmah, Bidisha Som, and Sukumar Nandi. "Survey of Textbased Chatbot in Perspective of Recent Technologies." In International Conference on Computational Intelligence, Communications, and Business Analytics, pp. 84-96. Springer, Singapore, 2018.
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Dialogue Subtasks

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Dialogue Generation

Task-Oriented

Dialogue Systems

Source: https://paperswithcode.com/area/natural-language-processing/dialogue

Short-Text Conversation

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Can machines think?

(Alan Turing ,1950)

31 Source: Cahn, Jack. "CHATBOT: Architecture, Design, & Development." PhD diss., University of Pennsylvania, 2017.
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Chatbot

“online human-computer dialog system with natural language.”

32 Source: Cahn, Jack. "CHATBOT: Architecture, Design, & Development." PhD diss., University of Pennsylvania, 2017.
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Chatbot Conversation Framework

33 Source: https://chatbotslife.com/ultimate-guide-to-leveraging-nlp-machine-learning-for-you-chatbot-531ff2dd870c
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From E-Commerce to Conversational Commerce: Chatbots and Virtual Assistants

34 Source: http://www.guided-selling.org/from-e-commerce-to-conversational-commerce/
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Conversational Commerce: eBay AI Chatbots

35 Source: https://www.forbes.com/sites/rachelarthur/2017/07/19/conversational-commerce-ebay-ai-chatbot/
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Hotel Chatbot

36 Source: https://sdtimes.com/amazon/guest-view-capitalize-amazon-lex-available-general-public/

Intent Detection

Slot Filling

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SLIDE 37 37 Source: http://www.guided-selling.org/from-e-commerce-to-conversational-commerce/

H&M’s Chatbot on Kik

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SLIDE 38 38 Source: http://www.guided-selling.org/from-e-commerce-to-conversational-commerce/

Uber’s Chatbot on Facebook’s Messenger

Uber’s chatbot on Facebook’s messenger
  • one main benefit: it loads much faster than the Uber app
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Savings Bot

39 Source: https://chatbotsmagazine.com/artificial-intelligence-ai-and-fintech-part-1-7cae1e67dc13
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Mastercard Makes Commerce More Conversational

40 Source: https://newsroom.mastercard.com/press-releases/mastercard-makes-commerce-more-conversational-with-launch-of-chatbots-for-banks-and-merchants/
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Chatbots Bot Maturity Model

41 Source: https://www.capgemini.com/2017/04/how-can-chatbots-meet-expectations-introducing-the-bot-maturity/

Customers want to have simpler means to interact with businesses and get faster response to a question or complaint.

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Bot Life Cycle and Platform Ecosystem

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The Bot Lifecycle

43 Source: https://chatbotsmagazine.com/the-bot-lifecycle-1ff357430db7
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SLIDE 44 44 Source: https://www.oreilly.com/ideas/infographic-the-bot-platform-ecosystem
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SLIDE 45 45 Source: https://www.oreilly.com/ideas/infographic-the-bot-platform-ecosystem
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SLIDE 46 46 Source: https://venturebeat.com/2016/08/11/introducing-the-bots-landscape-170-companies-4-billion-in-funding-thousands-of-bots/
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SLIDE 47 47 Source: https://medium.com/@RecastAI/2017-messenger-bot-landscape-a-public-spreadsheet-gathering-1000-messenger-bots-f017fdb1448a /
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Dialogue

  • n

Airline Travel Information System (ATIS)

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The ATIS (Airline Travel Information System) Dataset

49 Source: Haihong, E., Peiqing Niu, Zhongfu Chen, and Meina Song. "A novel bi-directional interrelated model for joint intent detection and slot filling." In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp. 5467-5471. 2019.

Training samples: 4978 Testing samples: 893 Vocab size: 943 Slot count: 129 Intent count: 26

https://www.kaggle.com/siddhadev/atis-dataset-from-ms-cntk
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SF-ID Network (E et al., 2019) Slot Filling (SF) Intent Detection (ID)

50 Source: Haihong, E., Peiqing Niu, Zhongfu Chen, and Meina Song. "A novel bi-directional interrelated model for joint intent detection and slot filling." In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp. 5467-5471. 2019.

A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling

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Intent Detection on ATIS State-of-the-art

51 Source: https://paperswithcode.com/sota/intent-detection-on-atis
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Slot Filling on ATIS State-of-the-art

52 Source: https://paperswithcode.com/sota/slot-filling-on-atis
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Artificial Intelligence (AI)

53
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AI, Big Data, Cloud Computing Evolution of Decision Support, Business Intelligence, and Analytics

54 1970s 1980s 1990s 2000s 2010s Routine Reporting AI/Expert Systems Decision Support Systems Relational DBMS On-Demand Static Reporting Enterprise Resource Planning Data Warehousing Dashboards & Scorecards Executive Information Systems Cloud Computing, SaaS Data/Text Mining Business Intelligence Big Data Analytics In-Memory, In-Database Social Network/Media Analytics Decision Support Systems Enterprise/Executive IS Business Intelligence Analytics Big Data ... Source: Ramesh Sharda, Dursun Delen, and Efraim Turban (2017), Business Intelligence, Analytics, and Data Science: A Managerial Perspective, 4th Edition, Pearson

AI Cloud Computing Big Data DM BI AI

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AI in FinTech

55
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Robo-Advisors

56
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FinTech high-level classification

57

Lending Payments Analytics Robo Advisors Others Profile Advice Re-Balance Indexing

Source: Paolo Sironi (2016), “FinTech Innovation: From Robo-Advisors to Goal Based Investing and Gamification”, Wiley.
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Wealthfront

Financial Planning & Robo-Investing for Millennials

58 https://www.wealthfront.com/
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Betterment Online Financial Advisor

59 https://www.betterment.com/
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Financial Advisor FinTech Solutions

60 Source: https://www.kitces.com/fintechmap
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From Algorithmic Trading to Personal Finance Bots: 41 Startups Bringing

AI to Fintech

61 Source: https://www.cbinsights.com/blog/artificial-intelligence-fintech-market-map-company-list/
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From Algorithmic Trading To Personal Finance Bots: 41 Startups Bringing AI To Fintech

62 Source: https://www.cbinsights.com/blog/artificial-intelligence-fintech-market-map-company-list/

AI in Fintech

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SLIDE 63 63 Source: https://www.cbinsights.com/blog/artificial-intelligence-fintech-market-map-company-list/

Artificial Intelligence (AI) in Fintech

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SLIDE 64 64 Source: https://www.cbinsights.com/blog/artificial-intelligence-fintech-market-map-company-list/

Artificial Intelligence (AI) in Fintech

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FinTech

65
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Financial Technology FinTech “providing financial services by making use of software and modern technology”

66 Source: https://www.fintechweekly.com/fintech-definition
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Financial Services

67
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Financial Services

68 Source: http://www.crackitt.com/7-reasons-why-your-fintech-startup-needs-visual-marketing/
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FinTech: Financial Services Innovation

69 Source: http://www3.weforum.org/docs/WEF_The_future__of_financial_services.pdf
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FinTech:

Financial Services Innovation

  • 1. Payments
  • 2. Insurance
  • 3. Deposits & Lending
  • 4. Capital Raising
  • 5. Investment Management
  • 6. Market Provisioning
70 Source: http://www3.weforum.org/docs/WEF_The_future__of_financial_services.pdf
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FinTech: Investment Management

71 Source: http://www3.weforum.org/docs/WEF_The_future__of_financial_services.pdf

5

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FinTech: Market Provisioning

72 Source: http://www3.weforum.org/docs/WEF_The_future__of_financial_services.pdf

6

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The New Alpha: 30+ Startups Providing Alternative Data For Sophisticated Investors

73 Source: https://www.cbinsights.com/blog/alternative-data-startups-market-map-company-list/

New sources of data mined by startups like Foursquare, Premise, and Orbital Insight are letting investors understand trends before they happen.

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The New Alpha: 30+ Startups Providing Alternative Data For Sophisticated Investors

74 Source: https://www.cbinsights.com/blog/alternative-data-startups-market-map-company-list/
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AI Humanoid Robo-Advisor

75
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AI Humanoid Robo-Advisor

for Multi-channel Conversational Commerce

76

AI Portfolio Asset Allocation AI Conversation Dialog System Multichannel Platforms Web LINE Facebook Humanoid Robot

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System Architecture of AI Humanoid Robo-Advisor

77 AI Humanoid Robo-advisor
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Conversational Model

(LINE, FB Messenger)

78
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Conversational Robo-Advisor Multichannel UI/UX Robots

79

ALPHA 2 ZENBO

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Portfolio Performance in 2016 Annual Portfolio Statistics

80 Black-Litterman Portfolio
  • the LSTM
Investor Views Markowitz Portfolio Equally Weighted Portfolio S&P 500 Index Annual return 16.151% 15.172% 12.428% 9.643% Annual volatility 13.897% 14.365% 15.870% 13.169% Sharpe ratio 1.14697 1.05534 0.81762 0.76492 Stability 0.82500 0.82515 0.82514 0.78754 Max drawdown
  • 10.105%
  • 10.465%
  • 12.529%
  • 10.306%
Skew
  • 0.35652
  • 0.52985
  • 0.56976
  • 0.36795
Kurtosis 2.49845 3.00613 2.41894 2.21958 Daily value at risk
  • 1.688%
  • 1.750%
  • 1.948%
  • 1.619%
Alpha 0.06445 0.05354 0.02158 0.00000 Beta 1.01485 1.04816 1.15631 1.00000 Information ratio 0.10935 0.09129 0.04655
  • Source: Min-Yuh Day, Tun-Kung Cheng and Jheng-Gang Li (2018), "AI Robo-Advisor with Big Data Analytics for Financial Services", in Proceedings of the 2018
IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018), Barcelona, Spain, August 28-31, 2018.
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Portfolio Cumulative Returns

81 Source: Min-Yuh Day, Tun-Kung Cheng and Jheng-Gang Li (2018), "AI Robo-Advisor with Big Data Analytics for Financial Services", in Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018), Barcelona, Spain, August 28-31, 2018.
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SLIDE 82

Cumulative Returns Markowitz v.s. Black-litterment

82 Source: Min-Yuh Day, Jian-Ting Lin and Yuan-Chih Chen (2018), "Artificial Intelligence for Conversational Robo-Advisor", in Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018), Barcelona, Spain, August 28-31, 2018
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Summary

  • AI Dialogue System
  • Conversational Commerce
  • FinTech
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References

  • Day, Min-Yuh and Chi-Sheng Hung, "AI Affective Conversational Robot with Hybrid Generative-based and Retrieval-based
Dialogue Models", in Proceedings of The 20th IEEE International Conference on Information Reuse and Integration for Data Science (IEEE IRI 2019), Los Angeles, CA, USA, July 30 - August 1, 2019.
  • Day, Min-Yuh, Chi-Sheng Hung, Yi-Jun Xie, Jhih-Yi Chen, Yu-Ling Kuo and Jian-Ting Lin (2019), "IMTKU Emotional Dialogue
System for Short Text Conversation at NTCIR-14 STC-3 (CECG) Task", The 14th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-14), Tokyo, Japan, June 10-13, 2019.
  • Day, Min-Yuh, Jian-Ting Lin and Yuan-Chih Chen. “Artificial Intelligence for Conversational Robo-Advisor.” submitted to MSNDS
2018 in the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018), Barcelona, Spain, August 28-31, 2018.
  • Day, Min-Yuh, Tun-Kung Cheng and Jheng-Gang Li (2018), "AI Robo-Advisor with Big Data Analytics for Financial Services", in
Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018), Barcelona, Spain, August 28-31, 2018.
  • Day, Min-Yuh, Chao-Yu Chen, Wan-Chu Huang, I-Hsuan Huang and Shi-Ya Zheng, Tz-Rung Chen, Min-Chun Kuo, Yue-Da Lin, and
Yi-Jing Lin. "IMTKU Question Answering System for World History Exams at NTCIR-13 QA Lab-3." The 13th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-13), Tokyo, Japan, December 5-8, 2017.
  • Kato, Makoto P., and Yiqun Liu,. "Overview of NTCIR-13." In Proceedings of the 13th NTCIR Conference, 2017.
  • Huang, Minlie, Zuoxian Ye, and Hao Zhou. "Overview of the NLPCC 2017 Shared Task: Emotion Generation Challenge."
In National CCF Conference on Natural Language Processing and Chinese Computing (NLPCC), pp. 926-936. Springer, Cham, 2017.
  • Zhou, Hao, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, and Bing Liu. "Emotional chatting machine: emotional conversation
generation with internal and external memory." arXiv preprint arXiv:1704.01074 (2017).
  • Yu, Kai, Zijian Zhao, Xueyang Wu, Hongtao Lin, and Xuan Liu. "Rich Short Text Conversation Using Semantic Key Controlled
Sequence Generation." IEEE/ACM Transactions on Audio, Speech, and Language Processing (2018).
  • Borah, Bhriguraj, Dhrubajyoti Pathak, Priyankoo Sarmah, Bidisha Som, and Sukumar Nandi. "Survey of Textbased Chatbot in
Perspective of Recent Technologies." In International Conference on Computational Intelligence, Communications, and Business Analytics, pp. 84-96. Springer, Singapore, 2018.
  • Haihong, E., Peiqing Niu, Zhongfu Chen, and Meina Song. "A novel bi-directional interrelated model for joint intent detection
and slot filling." In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp. 5467-5471. 2019. 84
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SLIDE 85 85 Tamkang University

AI Dialogue System for Conversational Commerce in FinTech

Host: Prof. Cheng-Zen Yang

Yuan Ze University Time: 14:00-16:00, 2019/12/04 (Wednesday) Place: 1309, Building 1, Yuan Ze University (YZU) Address: 135 Yuan-Tung Road, Chung-Li, Taiwan

Min-Yuh Day Associate Professor

  • Dept. of Information Management,

Tamkang University

http://mail. tku.edu.tw/myday/ 2019-12-04

Q & A