Recognizing Film Entities in Podcasts
In this paper, we propose a Named Entity Recognition (NER) system to identify film titles in podcast audio. Taking inspiration from NER systems for noisy text in social media, we implement a two-stage approach that is robust to computer transcription errors and does not require significant computational expense to accommodate new film titles/releases. Evaluating on a diverse set of podcasts, we demonstrate more than a 20% increase in F1 score across three baseline approaches when combining fuzzy-matching with a linear model aware of film-specific metadata.
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