Language is dynamic and constantly evolving: both the usage context and the meaning of words chan... more Language is dynamic and constantly evolving: both the usage context and the meaning of words change over time. Identifying words that acquired new meanings and the point in time at which new word senses emerged is elementary for word sense disambiguation and entity linking in historical texts. For example, cloud once stood mostly for the weather phenomenon and only recently gained the new sense of cloud computing. We propose a clustering-based approach that computes sense trees, showing how meanings of words change over time. The produced results are easy to interpret and explain using a drill down mechanism. We evaluate our approach qualitatively on the Corpus of Historic American English (COHA), which spans two hundred years. 1 The Evolution of Language As language evolves, words develop new senses. Detecting these new senses over time is useful for several uses, such as word sense disambiguation and entity linking in historic texts. Current machine learning models that represent ...
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Papers by Holly McKee