반응형 분류 전체보기599 [2022-10-02] 오늘의 자연어처리 Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsing A common recent approach to semantic parsing augments sequence-to-sequence models by retrieving and appending a set of training samples, called exemplars. The effectiveness of this recipe is limited by the ability to retrieve informative exemplars that help produce the correct parse, which is especially challen.. 2022. 10. 2. [2022-10-01] 오늘의 자연어처리 Who is GPT-3? An Exploration of Personality, Values and Demographics Language models such as GPT-3 have caused a furore in the research community. Some studies found that GPT-3 has some creative abilities and makes mistakes that are on par with human behaviour. This paper answers a related question: who is GPT-3? We administered two validated measurement tools to GPT-3 to assess its personality,.. 2022. 10. 1. [2022-10-01] 오늘의 자연어처리 ConvRNN-T: Convolutional Augmented Recurrent Neural Network Transducers for Streaming Speech Recognition The recurrent neural network transducer (RNN-T) is a prominent streaming end-to-end (E2E) ASR technology. In RNN-T, the acoustic encoder commonly consists of stacks of LSTMs. Very recently, as an alternative to LSTM layers, the Conformer architecture was introduced where the encoder of RNN-T .. 2022. 10. 1. [2022-09-30] 오늘의 자연어처리 METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets The COVID-19 pandemic continues to bring up various topics discussed or debated on social media. In order to explore the impact of pandemics on people's lives, it is crucial to understand the public's concerns and attitudes towards pandemic-related entities (e.g., drugs, vaccines) on social media. However, mo.. 2022. 9. 30. 이전 1 ··· 122 123 124 125 126 127 128 ··· 150 다음 반응형