natural language questions
Querying NoSQL with Deep Learning to Answer Natural Language Questions
... In the same manner, Zhong, Xiong, and Socher (2017) as- sume the availability of the query ground truth (intermediate labels) and the database response. They propose Seq2SQL, which is a modular approach to translate ...
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Natural Language Questions for the Web of Data
... and discover relevant information. As linked data is in RDF format, the standard approach would be to run structured queries in triple-pattern-based lan- guages like SPARQL, but only expert programmers are able to ...
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Evaluation of SPARQL query generation from natural language questions
... Having recognized an issue to be resolved, test suites can be constructed to evaluate how well the issue is handled. In our case, this meant determin- ing the full range of interacting TUIs in the knowl- edge base ...
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NL2pSQL: Generating Pseudo SQL Queries from Under Specified Natural Language Questions
... from natural language questions (NL2SQL) is an emerging research ...1 questions cover more diverse tasks including table manipulation or performance issues, where a table is not ...from ...
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K2Q: Generating Natural Language Questions from Keywords with User Refinements
... to questions by considering both query history and user ...ranked questions as well a list of refinement ...candidate questions and re- finement ...unseen questions (un- seen questions ...
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Structural Mapping between Natural Language Questions and SQL Queries
... the language is automatically detected using an n-gram-based text classification ...uses language-dependent ontologies to identify relevant parts of the question and a domain-specific processing logic to ...
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Ranking suspected answers to natural language questions using predictive annotation
... After each relevant span is assigned a rank, we rank all possible text segments of 50 or 250 bytes from the hit list based on the sum of the phrase ranks plus additional points for other[r] ...
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Variations of Natural Language Questions and Impacts On Information Retrieval
... classify questions based on wh-words; a more pressing challenge is what and which type questions because they can be phrased in a myriad of ways, yet they still seek the same type of ...
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Generating Natural Language Questions to Support Learning On Line
... 1472 questions in total, an average of 5.9 questions per ...the questions we generated were evalu- ated by a graduate student from the Faculty of Ed- ...the questions were grammatical, with ...
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Online Full Text
... a natural language interface to a database. Typically, natural language database interfaces (NLDI's) use grammatical and/or statistical ...of natural language questions ...
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Automatically Mining Question Reformulation Patterns from Search Log Data
... Fourth, we compare our question reformulation method with two long query processing techniques, i.e. NoStop (Huston and Croft, 2010) and DropOne (Balasubramanian et al., 2010). NoStop removes all stopwords in the query ...
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AUTOMATIC QUESTION GENERATION TECHNIQUES: A COMPARATIVE STUDY
... Generating Natural Language Questions to Support Learning OnLine ...frames. Questions are generated from individual predicate frame rather than complete ...
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Answer Extraction Techniquefor Question Answering Systems
... arbitrary questions (as IR systems ...allow questions phrased ...to natural language questions and the answer could be a single word, phrase, sentence or passage based on the class of ...
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Generating Natural Questions About an Image
... & language com- munity is ‘image captioning’, where the task is to produce a literal description of the ...reasonable language modeling paired with deep visual features trained on large enough datasets ...
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Compositional Semantic Parsing on Semi Structured Tables
... Out of 200 examples, we find that 79% can be manually annotated. The remaining ones in- clude artifacts such as unhandled question types (e.g., yes-no questions, or questions with phrases “same” or ...
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SBVR Based Natural Language Interface to Ontologies
... The analysis of NL question starts translating it into a set of intermediate representations – query triples. Further, relation similarity service (RSS) is used to map query triples to ontology compliant triples. On- ...
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Efficiency aware Answering of Compositional Questions using Answer Type Prediction
... Limitations of state-of-the-art. A few past ap- proaches that can handle such compositional ques- tions (Bao et al., 2016; Xu et al., 2016; Abuja- bal et al., 2017) generate and execute candidate SPARQL queries for each ...
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Automatically Generating Questions from Queries for Community based Question Answering
... Several studies have been carried out on cQA. Some of them have focused on retrieval and recommendation on cQA archives. For exam- ple, Xue et al. (2008) designed a retrieval model for cQA search, which considers both ...
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Exploring Difficulties in Parsing Imperatives and Questions
... This paper analyzes the effect of the struc- tural variation of sentences on parsing per- formance. We examine the performance of both shallow and deep parsers for two sen- tence constructions: imperatives and ques- ...
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Interface to Database By Using English Language
... another language. Answer questions about the contents of the ...the natural language processing is done on English ...of questions (WH - words like what, who, where, ...
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