반응형 분류 전체보기599 [2022-10-15] 오늘의 자연어처리 CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translation Named entity recognition (NER) suffers from the scarcity of annotated training data, especially for low-resource languages without labeled data. Cross-lingual NER has been proposed to alleviate this issue by transferring knowledge from high-resource languages to low-resource languages via aligne.. 2022. 10. 15. [2022-10-14] 오늘의 자연어처리 GMP*: Well-Tuned Global Magnitude Pruning Can Outperform Most BERT-Pruning Methods We revisit the performance of the classic gradual magnitude pruning (GMP) baseline for large language models, focusing on the classic BERT benchmark on various popular tasks. Despite existing evidence in the literature that GMP performs poorly, we show that a simple and general variant, which we call GMP*, can mat.. 2022. 10. 14. [2022-10-13] 오늘의 자연어처리 On Text Style Transfer via Style Masked Language Models Text Style Transfer (TST) is performable through approaches such as latent space disentanglement, cycle-consistency losses, prototype editing etc. The prototype editing approach, which is known to be quite successful in TST, involves two key phases a) Masking of source style-associated tokens and b) Reconstruction of this source-style maske.. 2022. 10. 13. [2022-10-13] 오늘의 자연어처리 Machine Translation between Spoken Languages and Signed Languages Represented in SignWriting This paper presents work on novel machine translation (MT) systems between spoken and signed languages, where signed languages are represented in SignWriting, a sign language writing system. Our work seeks to address the lack of out-of-the-box support for signed languages in current MT systems and is bas.. 2022. 10. 13. 이전 1 ··· 118 119 120 121 122 123 124 ··· 150 다음 반응형