The main goal of this study is to improve and expedite the question paper preparation process. The system starts by consuming digital or scanned documents that include a wide range of textual material, including academic resources, textbooks, and past year's exam questions. The system turns these...
Most studies on semantic question answering (QA) are predominantly focused on encyclopedic knowledge graphs like DBpedia and Wikidata. These studies cover, if at all, the spatial and temporal characteristics of geospatial entities in isolation, not addressing them simultaneously. In this paper, we in...
(2021). Asking questions like educational experts: Automatically generating question-answer pairs on real-world examination data. In Proceedings of the 2021 conference on empirical methods in natural language processing (pp. 2583–2593). Association for Computational Linguistics. Reddy, S., Raghu, D....
AIDC-AI / Marco-o1 Public Notifications Fork 61 Star 1.2k New issue Jump to bottom question about pic1 in the paper #3 Closed xhc19930714 opened this issue Nov 22, 2024· 2 comments Closed question about pic1 in the paper #3 xhc19930714 opened this issue Nov 22, 2024· 2...
A conference version of this paper was presented at BigData 2022.Data: https://static.preferred.ai/datasets/quester-data.zipIf you use QuestER in a scientific publication, we would appreciate citations to the following papers:@article{le2024question, author = {Le, Trung-Hoang and Lauw, Hady...
Each of the different branches of research has its peculiarities. Thus, the first types based on Binary Questions and Multiple Choice Question–Answering assume a simplified version of the problem. It is unnecessary to worry about generating candidate answers, only about confirming the veracity of a...
AIPVT 2024 Answer Key (Institutional) has been released through NEET UG.Check below to get answer keys. By Resonance: Other Institutes: . Get latest news & updates about AIPVT 2024via SMS and e-mail, by entering your details below: ...
Experiments on Generating Questions About Facts This paper presents an approach to the problem of factual Question Generation. Factual questions are questions whose answers are specific facts: who?, what?, where?, when?. We enhanced a simple attribute-value (XML) language and its inte... V Rus...
1笔记 摘要原文 Generating natural language questions from visual scenes, known as VisualQuestion Generation (VQG), has been explored in the recent past where largeamounts of meticulously labeled data provide the training corpus. However, inpractice, it is not uncommon to have only a few images ...
Official implementation of DPFM @ ICLR 2024 paper "Augmenting Math Word Problems via Iterative Question Composing"(https://arxiv.org/abs/2401.09003) - iiis-ai/IterativeQuestionComposing