The rise of the machines: Artificial intelligence meets scholarly content |
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Authors: | Alex D Wade Kuansan Wang |
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Institution: | 1. Director, Scholarly Communication, Microsoft Research, Redmond, WA, USA;2. Director, Internet Services Research Center, Microsoft Research, Redmond, WA, USA |
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Abstract: | Key points - New forms of human/machine dialogue are emerging as robots understand vast amounts of content rather than simply indexing content as strings of characters.
- Recognizing strings of characters as entities (e.g. = names = authors) allows for meaningful associations between entities and reasoning over these relationships.
- Web‐scale adoption of the Semantic Web approach has been slow because it is too complex to implement and does not scale.
- User intent, discovered through conversational models of human–computer interaction, allows for a deeper understanding of exactly what researchers are looking for.
- Personal agents hold the promise of finding information that we will find useful before we have started to look for it.
- Publishers can use Academic Knowledge APIs to interpret academic user queries and find rich information from the Microsoft Academic Graph.
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