Welcome to SML17 edition! The workshop at IJCAI-17 was successfully held with a lot of interesting discussion during paper presentations, the keynote, and the panel. Thanks to the (full room of) engaged participants!


NEWS:
* Final Program announced, Aug 14 2017.
* Keynote Speaker announced, Jun 20 2017.
* Accepted paper list is out! Congrats to the authors. July 3 2017.
* The SML16 workshop was successfully held at IJCAI-16 in New york. Thanks all for making it a success! You can check out the proceedings, presentations, and videos.

Aim and Scope

Learning is an important attribute of an AI system that enables it to adapt to new circumstances and to detect and extrapolate patterns. Machine Learning (ML) has seen a tremendous growth during the last few years due in part to the successful commercial deployments in products developed by major companies such as Google, Apple and Facebook. The interest has also being fuelled by the recent research breakthroughs brought about by deep learning. ML is however not a silver bullet as it is made out to be, and currently has several limitations in complex real-life situations. Some of these limitations include: i) many ML algorithms require large number of training data that are often too expensive to obtain in real-life, ii) significant effort is often required to do feature engineering to achieve high performance, iii) many ML methods are limited in their ability to exploit background knowledge, and iv) lack of a seamless way to integrate and use heterogeneous data.

Approaches that formalize data, functional and domain semantics, can tremendously aid addressing some of these limitations. The so-called semantic approaches have been increasingly investigated by various research communities and applied at different layers of ML, e.g. modeling representational semantics in vector space using deep learning architectures, and modeling domain semantics in ontology-based ML. This is complemented by the significant body of technologies and standards put together by the Semantic Web community that not only can facilitate greater industry adoption but can also enable incorporation of reasoning and inference in ML.

This workshop will bring together researchers and practitioners from all these communities working on different aspects of semantic ML, to share their experiences, exchange new ideas as well as to identify key emerging topics and define future directions.

Keynote Speaker

KeyNote
Title: How can Machine Learning / AI help Banks and Customers
Speaker: Dr. Amy Shi-Nash, Commonwealth Bank, Australia
Abstract:
Amy is an executive leader with a proven track record of creating value and competitive advantage through data-driven culture and innovation. As the Head of Data Science at Commonwealth Bank, she is responsible for driving strategic data science capability, enable business transformation and differentiated customer experience. Prior to CBA, Amy was the founding member and Chief Data Science Officer of DataSpark, Singtel’s data analytics spin-off. Responsible for driving data-led innovation and creating new revenue steams by combining telco data with advanced analytics and big data technology. Amy is a Science Board Member of i-Com and since 2013 is Industry Track Program Committee Member of ACM KDD. She is a frequent public speaker, a co-inventor and co-author of multiple Patents and Publications. Amy holds a Ph.D in data mining, a Master in AI and an MBA.


Final Program

(Workshop Pre-proceedings)
08:30 - 10:00 Paper Session I (3 papers: each 25 min + 5 min Q&A)

  • a. Evan Dennison Livelo, Andrea Nicole Ver, Jedrick Chua, John Paul Yao and Charibeth Cheng. A Hybrid Agent for Automatically Determining and Extracting the 5Ws of Filipino News Articles.
  • b. Heng Chen, Yongjuan Zhang, Chunhong Lin, Liwen Zhang and Tao Chen. Construction of Viral Hepatitis Bilingual Bibliographic Database, Mining of Viral Hepatitis Related Protein Text and Integrating with Uniprot Protein Database.
  • c. Yang Gao, Linjing Wei, Heyan Huang and Qian Liu. Topical Sentence Embedding for Query Focused Document Summarization.
10:00 - 10:30 == COFFEE BREAK ==
10:30 - 12:30 Paper Session II (3 papers: each 25 min + 5 min Q&A)

  • d. Luis Palacios, Yue Ma, Gaëlle Lortal, Claire Laudy and Chantal Reynaud. Data Driven Concept Refinement to Support Avionics Maintenance.
  • e. Andreea Salinca. Convolutional Neural Networks for Sentiment Classification on Business Reviews.
  • f. Ritesh Ratti, Himanshu Kapoor, Shikhar Sharma and Anshul Solanki. Semantic extraction of Named Entities from Bank Wire text.
12:30 - 14:00 == LUNCH BREAK ==
14:00 - 14:30 Paper Session III (1 paper: 25 min + 5 min Q&A)

  • g. Abdullah Alharbi, Yuefeng Li and Yue Xu. Enhancing Topical Word Semantic for Relevance Feature Selection.
14:30 - 15:30 Keynote

Speaker: Amy Shi-Nash, PhD - Head of Data Science, Commonwealth Bank, Australia
Title: How can Machine Learning/AI help Banks and Customers
15:30 - 16:10 Panel Discussion

Topic: Value Aid in incorporating Structured, Semantic Knowledge Bases into Machine Leaning Approaches

Panelists:
  • - Prof. Dimitrios Georgakopoulos, Swinburne University of Technology, Australia
  • - A/Prof. Xiuzhen (Jenny) Zhang, RMIT University, Australia
  • - Dr. Truyen Tran, Lecturer, Deakin University, Australia
  • - Dr. Yuan-Fang Li, Senior Lecturer, Monash University, Australia
  • - Prof. Arkady Zaslavsky, CSIRO
16:10 - 16:40 == COFFEE BREAK ==
16:40 - 17:40 Paper Session IV (2 papers: each 25 min + 5 min Q&A)

  • h. Yang Shao. Several simple neural networks for evaluating semantic textual similarity.
  • i. Fenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun and Jing Gao. Long-Term Memory Networks for Question Answering.
17:40 - 18:00 == CONCLUDING REMARKS ==

Accepted Papers


  1. Heng Chen, Yongjuan Zhang, Chunhong Lin, Liwen Zhang and Tao Chen. Construction of Viral Hepatitis Bilingual Bibliographic Database, Mining of Viral Hepatitis Related Protein Text and Integrating with Uniprot Protein Database.
  2. Evan Dennison Livelo, Andrea Nicole Ver, Jedrick Chua, John Paul Yao and Charibeth Cheng. A Hybrid Agent for Automatically Determining and Extracting the 5Ws of Filipino News Articles.
  3. Fenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun and Jing Gao. Long-Term Memory Networks for Question Answering.
  4. Yang Shao. Several simple neural networks for evaluating semantic textual similarity.
  5. Yang Gao, Linjing Wei, Heyan Huang and Qian Liu. Topical Sentence Embedding for Query Focused Document Summarization.
  6. Luis Palacios, Yue Ma, Gaëlle Lortal, Claire Laudy and Chantal Reynaud. Data Driven Concept Refinement to Support Avionics Maintenance.
  7. Andreea Salinca. Convolutional Neural Networks for Sentiment Classification on Business Reviews.
  8. Ritesh Ratti, Himanshu Kapoor, Shikhar Sharma and Anshul Solanki. Semantic extraction of Named Entities from Bank Wire text.
  9. Abdullah Alharbi, Yuefeng Li and Yue Xu. Enhancing Topical Word Semantic for Relevance Feature Selection.

Call for Papers


Research papers are invited on all aspects of Semantic Machine Learning, including but not limited to the following:

  • Semantic Modelling for Machine Learning
  • Semantics and Deep Learning
  • Ontology-based Machine Learning
  • Using Linked Open Data and other Semantic Graphs for Machine Learning
  • Design, Development & Reuse of Semantic Resources for ML
  • Semantic Reasoning and Inference in Machine Learning
  • Semantic Feature Engineering
  • Representational Semantics in ML
  • Semantics and Transfer Learning
  • Scalability in Semantic ML
  • Theory and Analysis of Semantic ML
  • Demos and Case Studies
  • Applications to Web, Social Media, Mobile, NLP, Vision, Healthcare, etc.
Work-in-progress, industry applications/experiences and position papers are also welcome. Please submit your paper using the SML-2017 EasyChair (https://easychair.org/conferences/?conf=sml17) site. See below for author instructions.

Author Instructions

Manuscripts should be prepared according to the IJCAI Author Guidelines (Go Here for Formatting Guideline, LaText Styles and Word Template: http://ijcai-17.org/FormattingGuidelinesIJCAI-17.zip). Submissions must be in English and provided as a PDF file. The length of manuscripts can be upto 6 pages. Work-in-process, Demo or Position papers may be shorter in length (2-4 pages) but, if accepted, are required to be expanded to 6 pages based on reviews.

Each manuscript will be judged on its originality, significance, technical quality, relevance, and presentation. Authors are required to certify that their paper represents original work and is previously unpublished.

Submitting a paper to SML-2017 workshop means that if the paper is accepted, at least one author will register and attend the conference to present the paper.

Prospective authors are strongly encouraged to get in touch with the chairs and express their interest and seek clarifications on their queries early.

Important Dates


Paper Submission: May 8
Author Notification: SENT
Camera ready: Jul 15
Workshop Date: Aug 20

(All deadlines are 11:59PM Hawaii time.)

Workshop Organisation


Chairs

  • Rajaraman Kanagasabai, Institute for Infocomm Research (I2R), Singapore
  • Ahsan Morshed, Swinburne University of Technology, Australia
  • Hemant Purohit, George Mason University, USA

Advisory Committee

Programme Committee

  • Kim Jung Jae, Institute for Infocomm Research, Singapore
  • Prem Jayaraman, Swinburne University of Technology, Australia
  • Kewen Lio, Swinburne University of Technology, Australia
  • Heiko Mueller, New York University, USA
  • Oshani Seneviratne, Oracle, USA
  • Md. Sumon Shahriar, Department of Health, Australia
  • Saeedeh Shekarpour, Kno.e.sis, Wright State University, USA
  • Sanjaya Wijeratne, Kno.e.sis, Wright State University, USA




Sections

Important Dates


Paper Submission: May 8
Author Notification: SENT
Camera ready: Jul 15
Workshop Date: Aug 20