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,...
”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...
DuoRCcontains 186,089 unique question-answer pairs created from a collection of 7680 pairs of movie plots where each pair in the collection reflects two versions of the same movie. DuoRC pushes the NLP community to address challenges on incorporating knowledge and reasoning in neural architectures ...
它的处理流程如下：1）问题分类，关键词提取；2）去QA库中找到相似的问题，用这些相似问题的答案作为候...
(CoT) evaluation assesses how well a QAS explains its reasoning process, by examining whether each logical step leads naturally to the next and ultimately to the correct answer(Fu et al., n.d.; Wei et al.2022). This is particularly important for complex questions where the system must ...
Answer Generation The research on VQA includes (source): Free-form, open-ended questions where the answer could be words, phrases, and even complete sentences Object counting questions, where the answer involves counting the number of objects in one image ...
corpus of documents and provide you with the relevant answer or paragraph. It is part of the computer science discipline in the field of information retrieval and NLP, which focuses on building systems that automatically extract an answer to questions posed by humans or machines in a natural ...
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”问题上做得相当好 非常复杂的多模块多组件的系统 首先对问题进行解析,使用手写的语义规范化规则,将其转化为更好的语义形式 在通过问题类型分类器,找出问题在寻找的语义类型 ...
000+ question-answer pairs on 500+ articles–or the newer SQuAD version 2.0, which combines the 100,000 questions from SQuAD 1.1 with over 50,000 unanswerable questions. To do well with SQuAD2.0, a system must not only answer questions when possible, but also determine when no answer is ...
However, using curated knowledge bases alone is not enough to have an open domain QA system. One suggested solution is to use extracted knowledge bases to develop knowledge bases and answer more questions (Bhutani et al., 2020, Fader et al., 2014). The relation detection in the question ...