Query-Based Keyphrase Extraction from Long Documents

Martin Dočekal, Pavel Smrž
2022 Proceedings of the ... International Florida Artificial Intelligence Research Society Conference  
Transformer-based architectures in natural language processing force input size limits that can be problematic when long documents need to be processed. This paper overcomes this issue for keyphrase extraction by chunking the long documents while keeping a global context as a query defining the topic for which relevant keyphrases should be extracted. The developed system employs a pre-trained BERT model and adapts it to estimate the probability that a given text span forms a keyphrase. We
more » ... mented using various context sizes on two popular datasets, Inspec and SemEval, and a large novel dataset. The presented results show that a shorter context with a query overcomes a longer one without the query on long documents.
doi:10.32473/flairs.v35i.130737 fatcat:azo7psgumveqdlojeaicmgdgsy