1 Introduction Figure 1: A QA model is used to produce answers which are reformulated as hypotheses to determine if they are entailed or contradicted by a premise. The answers are ranked by NLI class scores to select the best answer. NLP系统的安全性尚未解决,特别是在生物医学和科学环境中,幻觉...
Question Answering System (QASNatural Language Processing (NLPInformation RetrievalSPARQLSemantic WebThe need to query information content available in various formats including structured and unstructured data (text in natural language, semi-structured Web documents, structured RDF data in the semantic Web,...
基于结构化数据的问答的处理流程如下：1）把问题解析成query；2）查询数据库；3）把查询到的结果作为回...
一，任务是指向一个明确的目标。二，任务没有明确的目标。没有明确的目标当然就是瞎扯，能扯到哪儿算...
”require the capability of the QA system to retrieve the portion of text from the Terms and Conditions document that contains the answer. In this regard, Google has recently introduced featured snippets in the results page, which represents the answer to a question. When the snippet is clicked...
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...
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 ...
IBM的冒险!System (DeepQA, 2011)提出了一个版本的问题;它使用了许多方法的集合 DrQA(Chen et al. 2016)采用IR结合神经阅读理解,将深度学习引入开放领域的QA Turn-of-the Millennium Full NLP QA [architecture of LCC (Harabagiu/Moldovan) QA system, circa 2003] 复杂的系统,但他们在“事实”问题上做得相...
An AI-based question-answering system can do just that. But how would one approach building such a system? Recent advancements in deep learning and natural language processing (NLP) hold much promise in this field. Question answering background Products may contain a collection of structured and ...
Question-Answer Meaning Representation. Contribute to uwnlp/qamr development by creating an account on GitHub.