Much of the knowledge that humans derive from reading text is implicit rather than explicit. The derived knowledge is also context-dependent and probabilistic, i.e. they are not binary facts but we assign a degree of confidence to them.
In the context of that sentence "She was a .. physicist and chemist who conducted .. research on radioactivity.", I think most people would say a physicist or a chemist who conducts research is a researcher. In other contexts, such as in your example, that would be a questionable inference. What you're describing is why natural language understanding is hard--it's context-dependent and not syntactic.
In the context of that sentence "She was a .. physicist and chemist who conducted .. research on radioactivity.", I think most people would say a physicist or a chemist who conducts research is a researcher. In other contexts, such as in your example, that would be a questionable inference. What you're describing is why natural language understanding is hard--it's context-dependent and not syntactic.
"She did research." http://relex.diffbot.com:8085/?text=She%20did%20research. "She was a researcher." http://relex.diffbot.com:8085/?text=She%20was%20a%20research....
Return different outputs from a state-of-the-art relation extraction system.
The initial example: http://relex.diffbot.com:8085/?text=Marie%20Curie%20was%20bo....
In your example, being a coder is not inferred: http://relex.diffbot.com:8085/?text=He%27s%20a%20hard-surfac....