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[2022-11-18] 오늘의 자연어처리 Noisy Pairing and Partial Supervision for Opinion Summarization Current opinion summarization systems simply generate summaries reflecting important opinions from customer reviews, but the generated summaries may not attract the reader's attention. Although it is helpful to automatically generate professional reviewer-like summaries from customer reviews, collecting many training pairs of custom.. 2022. 11. 18.
[2022-11-17] 오늘의 자연어처리 FolkScope: Intention Knowledge Graph Construction for Discovering E-commerce Commonsense As stated by Oren Etzioni, ``commonsense is the dark matter of artificial intelligence''. In e-commerce, understanding users' needs or intentions requires substantial commonsense knowledge, e.g., ``A user bought an iPhone and a compatible case because the user wanted the phone to be protected''. In this pape.. 2022. 11. 17.
[2022-11-16] 오늘의 자연어처리 MT4SSL: Boosting Self-Supervised Speech Representation Learning by Integrating Multiple Targets In this paper, we provide a new perspective on self-supervised speech models from how the self-training targets are obtained. We generalize the targets extractor into Offline Targets Extractor (Off-TE) and Online Targets Extractor (On-TE), without caring about specific pretext tasks. Based on this, we.. 2022. 11. 16.
[2022-11-15] 오늘의 자연어처리 Helping the Weak Makes You Strong: Simple Multi-Task Learning Improves Non-Autoregressive Translators Recently, non-autoregressive (NAR) neural machine translation models have received increasing attention due to their efficient parallel decoding. However, the probabilistic framework of NAR models necessitates conditional independence assumption on target sequences, falling short of characterizi.. 2022. 11. 15.
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