We present SuFLexQA, a system for Question Answering that integrates deep linguistic information from verbal lexica into Quepy, a generic framework for translating natural language questions into a query language. We are participating in the QALD-3 contest to assess the main achievements and shortcomings of the system.Sociedad Argentina de Informática e Investigación Operativ
In Question answering (QA) system retrieves the precise information from large documents according t...
Question and Answering (QA) Systems provide a platform where users can ask questions in natural lang...
Knowledge graphs are a powerful concept for querying large amounts of data. These knowledge graphs a...
We present SuFLexQA, a system for Question Answering that integrates deep linguistic information fro...
In this paper we present QA 3 , a question answering (QA) system over RDF data cubes. The system fir...
In this discussion paper we present QA3, a question answering (QA) system over RDF cubes. The system...
Traditionally, the task of answering natural language questions has involved a keyword-based documen...
Answering complex natural language questions with crisp answers is crucial towards satisfying the in...
RDF question/answering (Q/A) allows users to ask questions in natural languages over a knowledge bas...
Statistical data in the form of RDF Data Cubes is becoming increasingly valuable as it influences de...
Many question answering (QA) systems over RDF induced from question-query pairs using some machine l...
Semantic Question Answering (SQA) aims to translate natural language (NL) questions to Simple Protoc...
Elahi MF, Ell B, Cimiano P. LexExMachinaQA: A framework for the automatic induction of ontology lexi...
Natural Language Query Formalization involves semantically parsing queries in natural language and t...
The Semantic Web, a Web of Data, is an extension of the World Wide Web (WWW), a Web of Documents. A ...
In Question answering (QA) system retrieves the precise information from large documents according t...
Question and Answering (QA) Systems provide a platform where users can ask questions in natural lang...
Knowledge graphs are a powerful concept for querying large amounts of data. These knowledge graphs a...
We present SuFLexQA, a system for Question Answering that integrates deep linguistic information fro...
In this paper we present QA 3 , a question answering (QA) system over RDF data cubes. The system fir...
In this discussion paper we present QA3, a question answering (QA) system over RDF cubes. The system...
Traditionally, the task of answering natural language questions has involved a keyword-based documen...
Answering complex natural language questions with crisp answers is crucial towards satisfying the in...
RDF question/answering (Q/A) allows users to ask questions in natural languages over a knowledge bas...
Statistical data in the form of RDF Data Cubes is becoming increasingly valuable as it influences de...
Many question answering (QA) systems over RDF induced from question-query pairs using some machine l...
Semantic Question Answering (SQA) aims to translate natural language (NL) questions to Simple Protoc...
Elahi MF, Ell B, Cimiano P. LexExMachinaQA: A framework for the automatic induction of ontology lexi...
Natural Language Query Formalization involves semantically parsing queries in natural language and t...
The Semantic Web, a Web of Data, is an extension of the World Wide Web (WWW), a Web of Documents. A ...
In Question answering (QA) system retrieves the precise information from large documents according t...
Question and Answering (QA) Systems provide a platform where users can ask questions in natural lang...
Knowledge graphs are a powerful concept for querying large amounts of data. These knowledge graphs a...