반응형 분류 전체보기599 [2023-01-31] 오늘의 자연어처리 Reading and Reasoning over Chart Images for Evidence-based Automated Fact-Checking Evidence data for automated fact-checking (AFC) can be in multiple modalities such as text, tables, images, audio, or video. While there is increasing interest in using images for AFC, previous works mostly focus on detecting manipulated or fake images. We propose a novel task, chart-based fact-checking, and intro.. 2023. 1. 31. [2023-01-30] 오늘의 자연어처리 Semi-Automated Construction of Food Composition Knowledge Base A food composition knowledge base, which stores the essential phyto-, micro-, and macro-nutrients of foods is useful for both research and industrial applications. Although many existing knowledge bases attempt to curate such information, they are often limited by time-consuming manual curation processes. Outside of the food science .. 2023. 1. 30. [2023-01-29] 오늘의 자연어처리 LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization Text Summarization is a popular task and an active area of research for the Natural Language Processing community. By definition, it requires to account for long input texts, a characteristic which poses computational challenges for neural models. Moreover, real-world documents come in a variety of compl.. 2023. 1. 29. [2023-01-28] 오늘의 자연어처리 Cross Modal Global Local Representation Learning from Radiology Reports and X-Ray Chest Images Deep learning models can be applied successfully in real-work problems; however, training most of these models requires massive data. Recent methods use language and vision, but unfortunately, they rely on datasets that are not usually publicly available. Here we pave the way for further research in th.. 2023. 1. 28. 이전 1 ··· 89 90 91 92 93 94 95 ··· 150 다음 반응형