반응형 분류 전체보기599 [2022-08-23] 오늘의 자연어처리 Beyond Text Generation: Supporting Writers with Continuous Automatic Text Summaries We propose a text editor to help users plan, structure and reflect on their writing process. It provides continuously updated paragraph-wise summaries as margin annotations, using automatic text summarization. Summary levels range from full text, to selected (central) sentences, down to a collection of keywords. .. 2022. 8. 23. [2022-08-22] 오늘의 자연어처리 Analyzing Robustness of End-to-End Neural Models for Automatic Speech Recognition We investigate robustness properties of pre-trained neural models for automatic speech recognition. Real life data in machine learning is usually very noisy and almost never clean, which can be attributed to various factors depending on the domain, e.g. outliers, random noise and adversarial noise. Therefore, the m.. 2022. 8. 22. [2022-08-21] 오늘의 자연어처리 Learning Transductions to Test Systematic Compositionality Recombining known primitive concepts into larger novel combinations is a quintessentially human cognitive capability. Whether large neural models in NLP acquire this ability while learning from data is an open question. In this paper, we look at this problem from the perspective of formal languages. We use deterministic finite-state tran.. 2022. 8. 21. [2022-08-20] 오늘의 자연어처리 Ask Question First for Enhancing Lifelong Language Learning Lifelong language learning aims to stream learning NLP tasks while retaining knowledge of previous tasks. Previous works based on the language model and following data-free constraint approaches have explored formatting all data as "begin token (\textit{B}) + context (\textit{C}) + question (\textit{Q}) + answer (\textit{A})" for differ.. 2022. 8. 20. 이전 1 ··· 135 136 137 138 139 140 141 ··· 150 다음 반응형