NYTWIT: A Dataset of Novel Words in the New York Times

6 Mar 2020  ·  Yuval Pinter, Cassandra L. Jacobs, Max Bittker ·

We present the New York Times Word Innovation Types dataset, or NYTWIT, a collection of over 2,500 novel English words published in the New York Times between November 2017 and March 2019, manually annotated for their class of novelty (such as lexical derivation, dialectal variation, blending, or compounding). We present baseline results for both uncontextual and contextual prediction of novelty class, showing that there is room for improvement even for state-of-the-art NLP systems... We hope this resource will prove useful for linguists and NLP practitioners by providing a real-world environment of novel word appearance. read more

PDF Abstract

Datasets


Introduced in the Paper:

NYTWIT

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods


No methods listed for this paper. Add relevant methods here