Progressive Joint Framework for Chinese Question Entity Discovery and Linking With Question Representations
نویسندگان
چکیده
منابع مشابه
EARL: Joint Entity and Relation Linking for Question Answering over Knowledge Graphs
In order to answer natural language questions over knowledge graphs, most processing pipelines involve entity and relation linking. Traditionally, entity linking and relation linking have been performed either as dependent sequential tasks or independent parallel tasks. In this paper, we propose a framework, called EARL, which performs entity linking and relation linking as a joint single task....
متن کاملQuestion Dependent Recurrent Entity Network for Question Answering
Question Answering is a task which requires building models that are able to automatically reply to questions given by humans. In the recent years, growing interest has been shown in tasks that require reasoning abilities in order to answer questions. Thus, in this study, we introduced a model to accomplish different Question Answering tasks, which are: Reasoning Question Answering and Reading ...
متن کاملA Joint Model for Question Answering and Question Generation
We propose a generative machine comprehension model that learns jointly to ask and answer questions based on documents. The proposed model uses a sequence-to-sequence framework that encodes the document and generates a question (answer) given an answer (question). Significant improvement in model performance is observed empirically on the SQuAD corpus, confirming our hypothesis that the model b...
متن کاملUsing Generalized Language Model for Question Matching
Question and answering service is one of the popular services in the World Wide Web. The main goal of these services is to finding the best answer for user's input question as quick as possible. In order to achieve this aim, most of these use new techniques foe question matching. . We have a lot of question and answering services in Persian web, so it seems that developing a question matching m...
متن کاملA Named Entity Recogniser for Question Answering
Named Entity Recognisers (NERs) are typically used by question answering (QA) systems as means to preselect answer candidates. However, there has not been much work on the formal assessment of the use of NERs for QA nor on their optimal parameters. In this paper we investigate the main characteristics of a NER for QA. The results show that it is important to maintain high recall to retain all p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2944223