Improving passage retrieval in question answering using NLP - Tiedemann - 2005 () Citation Context ...pplication of QA techniques specifically with IR in mind has been largely unexplored. However, because document retrieval (the IR component of QA) can benefit from increased awareness of the ...
5、TILE: EDUQA: Educational Domain Question Answering System using Conceptual Network Mapping Author: Abhishek Agarwal , Nikhil Sachdeva , Raj Kamal Yadav , Vishaal Udandarao , Vrinda Mittal , Anubha Gupta , Abhinav Mathur Paper: arxiv.org/pdf/1911.0501 ...
Fig. 1.A general spoken question answering pipeline. A speech interface to a question answering system makes the interaction more natural. To achieve this, the most common approach is to combine anautomatic speech recognitionand aspeech synthesisunit with a question answering system. The development...
QASystem (WS)0.0970.1160.098010140.200 TeBaQA (WS)0.1290.1340.130026680.222 wdaqua-core1 (DBpedia)0.2610.2670.25006610.289Diefenbach, Dennis, Kamal Singh, and Pierre Maret. “Wdaqua-core1: a question answering service for rdf knowledge bases.” Companion of the The Web Conference 2018 on The...
TILE: Generative Question Answering: Learning to Answer the Whole Question Author: Mike Lewis, Angela Fan Paper:openreview.net/pdf?Code: None 论文简述: 本文介绍了问题和答案的联合分布的生成模型,这些模型被训练来解释整个问题,而不仅仅是回答它。我们的问题回答(QA)模型是通过学习先验而不是答案来...
5、TILE: EDUQA: Educational Domain Question Answering System using Conceptual Network Mapping Author:Abhishek Agarwal , Nikhil Sachdeva , Raj Kamal Yadav , Vishaal Udandarao , Vrinda Mittal , Anubha Gupta , Abhinav Mathur Paper:https://arxiv.org/pdf/1911.05013v1.pdf ...
(含源码)Question Answering(QA)论文整理(六) 正文开始 1 First Blood 1、TILE: ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation Author:Dongling Xiao • Han Zhang • Yukun Li Paper:https://arxiv.org/pdf/2001.11314v3.pdf ...
https://github.com/stanfordnlp/stanzaAbout Multilingual STANZA-based Summary and Keyword Extractor and Question-Answering System using TextGraphs and Neural Networks Resources Readme License Apache-2.0 license Activity Stars 9 stars Watchers 4 watching Forks 3 forks Report repository Releases...
本次论文获取方式: 1、关注AINLPer 微信公众... 【笔记1-1】基于对话的问答系统CoQA (Conversational Question Answering) CoQA: A Conversational Question Answering Challenge (一)论文概述(摘要+简介) (二)目标任务 (三)数据收集过程 3.1 数据收集界面 3.2 文章选取 3.3 收集多个答案 (四)数据集分析 4.1 CoQA...
Our research focuses on question answering using the Deep Learning approach. The difference between our Humanoid Robot with the robot named Pepper Robot [24] is, Pepper covers Human Recognition, Object Recognition, and Speech Recognition using NAOqi [25]. NAOqi is the operating system for Humanoid...