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SemEval 2022 Task 12: Symlink- Linking Mathematical Symbols to their Descriptions

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arxiv 2202.09695 v2 pith:7PX3A36O submitted 2022-02-19 cs.CL cs.CV

SemEval 2022 Task 12: Symlink- Linking Mathematical Symbols to their Descriptions

classification cs.CL cs.CV
keywords livestreamingtranscriptspunctuationrestorationvideobehanceprsentencevideos
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Given the increasing number of livestreaming videos, automatic speech recognition and post-processing for livestreaming video transcripts are crucial for efficient data management as well as knowledge mining. A key step in this process is punctuation restoration which restores fundamental text structures such as phrase and sentence boundaries from the video transcripts. This work presents a new human-annotated corpus, called BehancePR, for punctuation restoration in livestreaming video transcripts. Our experiments on BehancePR demonstrate the challenges of punctuation restoration for this domain. Furthermore, we show that popular natural language processing toolkits are incapable of detecting sentence boundary on non-punctuated transcripts of livestreaming videos, calling for more research effort to develop robust models for this area.

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