Text understanding for computers

[摘要] A long-standing challenge for computers communicating with humans is to pass the Turing test, i.e., to communicate in such,a way that it is impossible for humans to determine whether they are talking to a computer or another human being. The field,of natural language understanding — which studies automatic means of capturing the semantics of textual content — plays a,central part in this long-term goal of artificial intelligence research. Natural language understanding can itself be understood,at different levels. In this thesis, we make contributions to automatic understanding of text at the level of words, short,texts, and full documents.

[发布机构] University of Amterdam