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Papers Fill Mask

“Fill Mask” 태그가 달린 논문 8편 · 필터 해제

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters

2024-11-18 · Zishuo Feng, Feng Cao

The task of converting Hanyu Pinyin abbreviations to Chinese characters is a significant branch within the domain of Chinese Spelling Correction (CSC). It plays an important role in many downstream applications such as n…

fill-maskFill MaskMixture-of-Expertsnamed-entity-recognition+3

MAX: Masked Autoencoder for X-ray Fluorescence in Geological Investigation

2024-10-16 · An-Sheng Lee, Yu-Wen Pao, Hsuan-Tien Lin, Sofia Ya Hsuan Liou

Pre-training foundation models has become the de-facto procedure for deep learning approaches, yet its application remains limited in the geological studies, where in needs of the model transferability to break the shack…

Fill MaskGeochemistryregressionSelf-Supervised Learning

Harvesting Textual and Structured Data from the HAL Publication Repository

2024-07-30 · Francis Kulumba, Wissam Antoun, Guillaume Vimont, Laurent Romary

HAL (\textit{Hyper Articles en Ligne}) is the French national publication repository, used by most higher education and research organizations for their open science policy. Although it is a rich repository of academic d…

ArticlesAuthorship AttributionContrastive LearningFill Mask+6

Iterative Mask Filling: An Effective Text Augmentation Method Using Masked Language Modeling

2024-01-03 · Himmet Toprak Kesgin, Mehmet Fatih Amasyali

Data augmentation is an effective technique for improving the performance of machine learning models. However, it has not been explored as extensively in natural language processing (NLP) as it has in computer vision. In…

Data Augmentationfill-maskFill MaskLanguage Modeling+5

An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling

2022-09-04 · CVPR 2023 1 · Tsu-Jui Fu, Linjie Li, Zhe Gan, Kevin Lin 외

Masked visual modeling (MVM) has been recently proven effective for visual pre-training. While similar reconstructive objectives on video inputs (e.g., masked frame modeling) have been explored in video-language (VidL) p…

Fill MaskOptical Flow EstimationQuestion AnsweringRetrieval+8

Zero-Shot Video Question Answering via Frozen Bidirectional Language Models

2022-06-16 · Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev 외

Video question answering (VideoQA) is a complex task that requires diverse multi-modal data for training. Manual annotation of question and answers for videos, however, is tedious and prohibits scalability. To tackle thi…

Fill MaskLanguage ModelingLanguage ModellingMasked Language Modeling+8

Efficiently and Thoroughly Anonymizing a Transformer Language Model for Dutch Electronic Health Records: a Two-Step Method

2022-06-01 · LREC 2022 6 · Stella Verkijk, Piek Vossen

Neural Network (NN) architectures are used more and more to model large amounts of data, such as text data available online. Transformer-based NN architectures have shown to be very useful for language modelling. Althoug…

fill-maskFill MaskLanguage ModelingLanguage Modelling

Prompt Tuning or Fine-Tuning - Investigating Relational Knowledge in Pre-Trained Language Models

2021-06-22 · AKBC 2021 10 · Leandra Fichtel, Jan-Christoph Kalo, Wolf-Tilo Balke

Extracting relational knowledge from large pre-trained language models by a cloze-style sentence serving as a query has shown promising results. In particular, language models can be queried similar to knowledge graphs. …

fill-maskFill MaskKnowledge GraphsLanguage Modeling+3
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