Papers Document Text Classification
“Document Text Classification” 태그가 달린 논문 6편 · 필터 해제
An Open Source Contractual Language Understanding Application Using Machine Learning
Legal field is characterized by its exclusivity and non-transparency. Despite the frequency and relevance of legal dealings, legal documents like contracts remains elusive to non-legal professionals for the copious usage…
Document Text ClassificationInformation RetrievalOptical Character Recognition (OCR)Question AnsweringLinked Data Triples Enhance Document Relevance Classification
Standardized approaches to relevance classification in information retrieval use generative statistical models to identify the presence or absence of certain topics that might make a document relevant to the searcher. Th…
ClassificationDeep LearningDocument Text ClassificationInformation Retrieval+1Image and Text fusion for UPMC Food-101 \\using BERT and CNNs
The modern digital world is becoming more and more multimodal. Looking on the internet, images are often associated with the text, so classification problems with these two modalities are very common. In this paper, we …
ClassificationDocument Text ClassificationGeneral ClassificationImage Classification+3Light-Weighted CNN for Text Classification
For management, documents are categorized into a specific category, and to do these, most of the organizations use manual labor. In today's automation era, manual efforts on such a task are not justified, and to avoid th…
ClassificationDocument ClassificationDocument Image ClassificationDocument Text Classification+5Are These Birds Similar: Learning Branched Networks for Fine-grained Representations
Fine-grained image classification is a challenging task due to the presence of hierarchical coarse-to-fine-grained distribution in the dataset. Generally, parts are used to discriminate various objects in fine-grained da…
ClassificationDocument Text ClassificationFine-Grained Image ClassificationGeneral Classification+5PRADO: Projection Attention Networks for Document Classification On-Device
Recently, there has been a great interest in the development of small and accurate neural networks that run entirely on devices such as mobile phones, smart watches and IoT. This enables user privacy, consistent user exp…
ClassificationDocument ClassificationDocument Text ClassificationGeneral Classification+3