什么是问答系统(question answering system)? 反馈 收藏 有用 解析 解答答:问答系统是一种根据用户提供的问题,从大规模的文本库中寻找并提供准确答案的技术。它涉及自然语言处理和信息检索等技术,旨在提供准确、及时的答案,以满足用户的信息需求。问答系统在搜索引擎、智能助理和在线客服等领域有着广泛的应用。 来源于...
Using contradictions improves question answering systems - ACL Anthology 本文提出了将contradiction信号添加到QA中。先将问题输入QA模型,然后通过QA2D模型将回答转变为声明性假设格式(statement形式),再…
- 许多NLP任务可以转化为阅读理解任务,例如 - Information extraction信息抽取:(Barack Obama, educated_at, ?) - Semantic role labeling语义角色标记:要针对句子中的(核心)谓词来确定其他论元以及其他论元的角色。参考https://zhuanlan.zhihu.com/p/35789254 SQuAD:Stanford question answering dataset 10个问答三元组:...
Using NLP Methods to Improve the Effectiveness of a Macedonian Question Answering SystemQuestion AnsweringPoS taggingWord formsStemmingThe process of retrieving particular information from a huge amount of text significantly depends on the language specific features. The most imposing one for Macedonian ...
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 ...
问答系统研究 Research on Question Answering 黎新 提 纲 1、问答系统介绍 2、问答系统的研究情况 3、目前研究的热点问题 问答系统介绍(1) 自动问答技术(Question Answering,QA)是综合运用了自然语言处理、信息检索、语义分析、人工智能等技术的一种新型的信息服务技术 。与传统的搜索引擎不同,自动问答系统以自然...
NLP Tutorial: Creating Question Answering System using BERT + SQuAD on Colab TPU. BERT pre-trained models can be used for language classification, question & answering, next word prediction, tokenization, etc. It is one of the best NLP models with superior NLP capabilities....
(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 ...
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...
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.