Keyphrase extraction on open domain document is an up and coming area that can be used for many NLP tasks like document ranking, Topic Clusetring, etc. To enable the research community to build performant KeyPhrase Extraction systems we have build OpenKP a human annotated extraction of Keyphrases on a wide variety of documents. The dataset features 148,124 real world web documents along with a human annotation indicating the 1-3 most relevant keyphrases. More information about the dataset and our initial experiments can be found in the paper Open Domain Web Keyphrase Extraction Beyond Language Modeling which was an oral presentation at EMNLP-IJCNLP 2019. It is part of the MSMARCO dataset family and research projects like this power the core document understanding pipeline that Bing uses.

Resource Fields

Project Open Data Required Fields (version 1.1)

Project Open Data Additional Fields (version 1.0)

Project Open Data Required-if-Applicable Fields (version 1.1)