Abstract
Machine Learning has been a big success story during the AI resurgence. One particular stand out success relates to learning from a massive amount of data. In spite of early assertions of the unreasonable effectiveness of data, there is increasing recognition for utilizing knowledge whenever it is available or can be created purposefully. In this paper, we discuss the indispensable role of knowledge for deeper understanding of content where (i) large amounts of training data are unavailable, (ii) the objects to be recognized are complex, (e.g., implicit entities and highly subjective content), and (iii) applications need to use complementary or related data in multiple modalities/media. What brings us to the cusp of rapid progress is our ability to (a) create relevant and reliable knowledge and (b) carefully exploit knowledge to enhance ML/NLP techniques. Using diverse examples, we seek to foretell unprecedented progress in our ability for deeper understanding and exploitation of multimodal data and continued incorporation of knowledge in learning techniques.
Original language | English |
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Title of host publication | WI '17: Proceedings of the International Conference on Web Intelligence |
Publisher | Association for Computing Machinery, Inc |
Pages | 1-9 |
Number of pages | 9 |
ISBN (Electronic) | 9781450349512 |
DOIs | |
State | Published - Aug 23 2017 |
Event | 16th IEEE/WIC/ACM International Conference on Web Intelligence - Leipzig, Germany Duration: Aug 23 2017 → Aug 26 2017 Conference number: 16 |
Conference
Conference | 16th IEEE/WIC/ACM International Conference on Web Intelligence |
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Abbreviated title | WI 2017 |
Country/Territory | Germany |
City | Leipzig |
Period | 8/23/17 → 8/26/17 |
ASJC Scopus Subject Areas
- Computer Networks and Communications
- Artificial Intelligence
- Software
Keywords
- Emoji sense disambiguation
- Implicit entity recognition
- Knowledge-driven deep content understanding
- Knowledge-enhanced machine learning
- Knowledgeenhanced nlp
- Machine intelligence
- Multimodal exploitation
- Personalized digital health
- Semantic-cognitive-perceptual computing
- Understanding complex text
Disciplines
- Bioinformatics
- Communication
- Communication Technology and New Media
- Computer Sciences
- Databases and Information Systems
- Life Sciences
- OS and Networks
- Physical Sciences and Mathematics
- Science and Technology Studies
- Social and Behavioral Sciences