[PDF] Top 20 Data-Intensive Question Answering
Has 10000 "Data-Intensive Question Answering" found on our website. Below are the top 20 most common "Data-Intensive Question Answering".
Data-Intensive Question Answering
... the data, instead of the methods, do most of the work is what motivated our particular approach to the TREC Question Answering ...the question formulation and the string containing its ...some ... See full document
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Semi supervised Training Data Generation for Multilingual Question Answering
... and answering questions about the text is an important yet challenging task for ...the question, such as “what causes precip- itation to fall?”, they locate the supporting “span”, or the relevant answer ... See full document
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Evaluation of a layered approach to question answering over linked data
... Question 1a exemplifies the simplest case: All natural language expressions can be mapped to DBpedia resources in the target SPARQL query 1b by sim- ply matching the expressions (currency and Czech Republic) with ... See full document
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Information Extraction over Structured Data: Question Answering with Freebase
... Question answering (QA) from a knowledge base (KB) has a long history within natural language processing, going back to the 1960s and 1970s, with systems such as Baseball (Green Jr et ...consider ... See full document
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Investigating Embedded Question Reuse in Question Answering
... in question answering (QA) that enables a QA system to gain performance through reuse of information in the answer to one question to answer another related ...of question in a general open ... See full document
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Grounding proposition stores for question answering over linked data
... Recent work proposes a method to build a lexicon by acquiring knowledge from large text corpora [6]. This process relies on distant supervision to build a lexicon that then is used to fed a semantic parser. Our goal is ... See full document
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Contextualized Question Answering
... contextualized question answering and it provides document overview ...follows: data preparation, data enhancement, data indexing and handling ...available question ... See full document
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Question Answering over Structured Data: an Entailment-Based Approach to Question Analysis
... addresses question analysis in the framework of Question Answering over struc- tured ...a question expresses a certain relation if a pattern for that relation is entailed by the ... See full document
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Routing Questions for Collaborative Answering in Community Question Answering
... of question and answer threads. In this study, we use the public data dump of the site that contains all the public data since its launch in August 2008 to September ...two data sets to carry ... See full document
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Neural Arabic Question Answering
... tion question and uses an answer ranking module based on word ...rule-based question answering system and obtains an 84% accuracy on 335 ques- tions based on ...community question ... See full document
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Question Answering over Linked Data Using First order Logic
... Question answering over knowledge bases has attracted a substantial amount of interest over a long period of ...structured data, such as DBpedia, Freebase and Yago, the need for providing ... See full document
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An Exploration of Data Augmentation and Sampling Techniques for Domain Agnostic Question Answering
... training data than BERT, its rep- resentation provided a strong source of transfer ...XLNet’s question an- swering module, we also computed the end logits based on the ground truth of the start position ... See full document
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Question Answering in the Biomedical Domain
... Question answering techniques have mainly been investigated in open ...domain. Question answer- ing focusing on patients is less ...patient question answering such as limited annotated ... See full document
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APPROCHES FOR QUESTION ANSWERING SYSTEMS
... of data is available, web is one of the ideal source to obtain the ...based question answering systems uses search engines (Like Google, Yahoo, Alto Vista ... See full document
6
Question Answering Evaluation Survey
... the data available from the Message Understanding Conference (MUC-6, MUC-7 proposed NE Recognition between 7 categories but also two other tasks: co-reference resolution, and template relation) Information ... See full document
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Neural Generative Question Answering
... of question-answer pairs, with their as- sociated triples in the ...tion answering demonstrates that the proposed model can outperform an embedding-based QA model as well as a neural dialogue model trained ... See full document
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Learning to Paraphrase for Question Answering
... the question and then submit the rewritten version to a QA ...produce question paraphrases, such as rule-based machine translation (Duboue and Chu- Carroll, 2006), lexical and phrasal rules from the ... See full document
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Evaluating Question Answering Evaluation
... and question. Incor- porating the context and question into BERTScore slightly improves results, indicating that a BERT- based model that uses the context and question is a promising research ... See full document
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Arabic Question Answering: A Study on Challenges, Systems, and Techniques
... (Arabic Question Answering System). AQAS is a Question Answering System, which is based on a structured knowledge ...structured data only, but failed to extract an answer from ... See full document
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Instance Based Question Answering: A Data Driven Approach
... as question classification, answer extrac- tion, and answer verification are beginning to be ad- dressed through statistical ...in data acquisition promise to deliver increasingly larger ... See full document
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