Results 201 to 210 of about 1,814 (232)
Comparative Evaluation of Five Multimodal Large Language Models for Medical Laboratory Image Recognition: Impact of Prompting Strategies on Diagnostic Accuracy. [PDF]
Diagnostics (Basel)Yang HR +4 more
europepmc +1 more source
Chinese Grammatical Error Correction Using Pre-trained Model
Chinese Grammatical Error Correction Using Pre-trained Modelopenaire
Advancing Chinese Grammatical Error Correction : Pre-trained Models and Meta-evaluation
Advancing Chinese Grammatical Error Correction : Pre-trained Models and Meta-evaluationopenaire
Weaken Grammatical Error Influence in Chinese Grammatical Error Correction [PDF]
Lecture Notes in Computer Science, 2020 Chinese grammatical error correction (CGEC), a task of correcting grammatical errors in text, is treated as a translation task, where error sentences are “translated” to correct sentences. However, some grammatical errors in the training data can confuse the CGEC models and have negative influence in the “translating” process. In this paper, we propose
Si Li
exaly +7 more sources
A Sequence to Sequence Learning for Chinese Grammatical Error Correction
Lecture Notes in Computer Science, 2018 Grammatical Error Correction (GEC) is an important task in natural language processing. In this paper, we introduce our system on NLPCC 2018 Shared Task 2 Grammatical Error Correction. The task is to detect and correct grammatical errors that occurred in Chinese essays written by non-native speakers of Mandarin Chinese.
Liner Yang, Xun Endong
exaly +3 more sources
Chinese Grammatical Error Correction Using Statistical and Neural Models
Lecture Notes in Computer Science, 2018 This paper introduces the Alibaba NLP team’s system for NLPCC 2018 shared task of Chinese Grammatical Error Correction (GEC). Chinese as a Second Language (CSL) learners can use this system to correct grammatical errors in texts they wrote. We proposed a method to combine statistical and neural models for the GEC task.
Junpei Zhou +5 more
exaly +3 more sources