April 16, 2023 /Technology/ — We’ve all had that frustrating experience of trying to search for something and not finding the results we are after. By building systems that leverage NLP, we can infuse our systems with semantic knowledge and minimize this frustration for end users of our systems.
Free-text search can be limiting, requiring us to search using the exact set of keywords that have been indexed. To go beyond simple text matching requires an understanding of both the search intent and the semantic meaning of the words being searched.
Here are a few practical examples of combining search results with the power of NLP and semantic knowledge: Continue reading
By Anya Schiffrin, director of the Technology, Media and Communications specialization at Columbia University’s School of International and Public Affairs.
When worries about online mis/disinformation became widespread after the 2016 U.S. election, there was hope that the tech giants would use artificial intelligence (AI) to fix the mess they created. The hope was that platforms could use AI and Natural Language Processing (NLP) to automatically block or downrank false. illegal or inflammatory content online without governments having to regulate.