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: arxiv.org/pdf/1911.0501 ...
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…
本文提出的模型在三个大型QA数据集(即NewsQA、TriviaQA和SearchQA)上取得了显著的改进。 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...
https://www.youtube.com/watch?v=1RN88O9C13U Allen Institute for Artificial Intelligence (AI2) Danqi Chen Title: "From Reading Comprehension to Open-Domain Question Answering" 从阅读理解到开放域问答系统 知识 校园学习 NLP 自然语言处理
Question Answering systems (QA) uses natural language processing (NLP) techniques to process a question, then searches for the required information to identify the answer and presents the answer to the user. The Web is vastly larger in size and boasts incredible "data redundancy," which renders ...
A question-answering system that is formed with an information processing apparatus for processing information in accordance with a program, and obtains an answer to an input search question sentence by searching a knowledge source, includes: a background information set; a first answer candidate extr...
A Question Answering (QA) system must provide concise answers, from a set of text documents, to questions stated by the user in natural language. Current QA systems are oriented to answer open-domain questions, but question analysis must be adapted to the characteristics of a restricted domain ...
Question answering systems are capable of responding to user inquiries using natural language. These systems analyze questions utilizing natural language p
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...