2019

Open Domain Web Keyphrase Extraction Beyond Language Modeling

Xiong, Lee, Hu, Chuan, Xiong, Chenyan et al.

Understand

This paper studies keyphrase extraction in real-world scenarios where documents are from diverse domains and have variant content quality.

We curate and release OpenKP, a large scale open domain keyphrase extraction dataset with near one hundred thousand web documents and expert keyphrase annotations.
To handle the variations of domain and content quality, we develop BLING-KPE, a neural keyphrase extraction model that goes beyond language understanding using visual presentations of documents and weak supervision from search queries.
Experimental results on OpenKP confirm the effectiveness of BLING-KPE and the contributions of its neural architecture, visual features, and search log weak supervision.

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