论文笔记QuAC : Question Answering in Context QuAC是一个18年发表的数据集,全称是Question Answering in Context. 中文翻译过来就是:结合了语境的问答数据集。实验的baseline 和实验结果的排行榜可以在http://quac.ai上找到。 这篇论文与以往的数据集最大的不同是: 1. 提问者没有预先看passage,只知道主题,然后...
(1991). Question answering in the context of scientific mechanisms. Journal of Memory and Language, 30, 186 - 209. http://dx.doi.org/10.1016/0749-596X(91)90003-3Graesser, A. C, & Hemphill, D. (1991). Question answering in the context of scientific mechanisms. Journal of Memory and ...
M,Hackett-Renner, C.Question answering in the context of telephone surveys, business interactions and interviews. Discourse Processes . 1990Graesser, A. C,Roberts, R. M,Hackett-Renner, C.Question answering in the context of telephone surveys, business interactions and interviews.Discourse Processes....
ChatGPT在mutil-span QA任务上表现还是不如特定任务模型,因此作者结合in-context learning提出了一种新的方法。传统的in-context learning就是将一些与任务相关的有标注数据拼接在输入的前面,作者认为这样做没有让模型对演示示例深入思考。因此本文的方法还添加了任务特定模型的预测结果以及预测结果的批改结果作为演示。
Compared to the traditional single-turn question answering (QA) based on text, also known as machine reading comprehension (MRC), conversational MRC tasks aim to enable models to understand the question according to not only the information in the passage but also the previous question-answer pairs...
Question Answering in Conversations: Query Refinement Using Contextual and Semantic Information Question Answering in Conversations: Query Refinement Using Contextual and Semantic InformationQuery refinementQuery expansionContext modeling... M Habibi,Mandabi, Parvaz,A Popescu-Belis - 《Data & Knowledge ...
Fact checked articles, which investigate the credibility of dubious claims online, provide a reliable source of debunked misinformation. However, existing (older) fact checked articles remain an underutilized resource for understanding patterns in ...
Answer GeneratorsNatural Language ProcessingQuestion Answering (QA) is concerned with building systems that automatically answer questions given by humans in a natural language. Most of the successful appK, LakshmiRaseekSocial Science Electronic Publishing...
For machines to assist in information gathering, it is therefore essential to enable them to answer conversational questions. We introduce CoQA, a novel dataset for building Conversational Question Answering systems. Our dataset contains 127k questions with answers, obtained from 8k conversations about ...
文章链接:Few-shot In-context Learning for Knowledge Base Question Answering 一、研究问题: 随着知识库的规模不断扩大,对于资源有限的情况下挑战很大。1.更大的知识库需要更多的标注数据,让微调的模型能够覆盖知识库。2.对于较小的数据集,微调后的模型难以推广到其他领域的知识库问题。