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Data Relevant to Answering Research Question One

Generating Question Relevant Captions to Aid Visual Question Answering

Generating Question Relevant Captions to Aid Visual Question Answering

... However, answering visual questions requires not only information about the visual content but also common knowledge, which is usually too hard to directly learn from only a limited number of images with human ...

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Data-Intensive Question Answering

Data-Intensive Question Answering

... MRR 0.347 0.437 % no answers 49.6 39.6 Table 1. TREC 2001 results We were quite pleased with the results of our very simple system in our first participation in the TREC QA track. Although we had been working on Web QA ...

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Question Answering on Interlinked Data

Question Answering on Interlinked Data

... The Data Web contains a wealth of knowledge on a large number of ...domains. Question answering over interlinked data sources is challenging due to two inherent characteris- ...each one ...

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Data Augmentation for Visual Question Answering

Data Augmentation for Visual Question Answering

... Method One major issues with our template-based aug- mentation method is that the questions are rigid and may not closely resemble the way questions are typically posed in the VQA ...output question is ...

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Data for question answering: The case of why

Data for question answering: The case of why

... formulate one to six why-questions for this text, and to formulate an answer to each of these ...by one of the other participants and he or she was asked to formulate an answer to these questions ...

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PubMedQA: A Dataset for Biomedical Research Question Answering

PubMedQA: A Dataset for Biomedical Research Question Answering

... cal question answering (QA) dataset collected from PubMed ...answer research questions with yes/no/maybe ...a question which is either an existing research article title or derived from ...

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Natural Questions: A Benchmark for Question Answering Research

Natural Questions: A Benchmark for Question Answering Research

... a question answering data ...a question along with a Wikipedia page from the top 5 search results, and annotates a long answer (typically a para- graph) and a short answer (one or more ...

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Numerical Data Integration for Cooperative Question Answering

Numerical Data Integration for Cooperative Question Answering

... each question of our corpus, a set of possi- ble answers is extracted from the ...propose one or several integration mechanisms in order to generate answers which take into account charac- teristics and ...

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Language Challenges for Data Fusion in Question-Answering

Language Challenges for Data Fusion in Question-Answering

... existing question-answering systems provide the user with a set of hyperlinks and/or web page extracts containing answer(s) to a ...a question-answering ...

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Evaluating question answering over linked data

Evaluating question answering over linked data

... semantic search engines Watson 7 and Swoogle 8 . As already mentioned, prevailing differences in evaluation set-ups and techniques, including differ- ences with respect to query samples and evalua- tion measures, ...

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Question Generation for Question Answering

Question Generation for Question Answering

... of question generation approaches are proposed, one is a retrieval-based method using convo- lution neural network (CNN), the other is a generation-based method using recurrent neural network (RNN); Second, ...

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One shot Learning for Question Answering in Gaokao History Challenge

One shot Learning for Question Answering in Gaokao History Challenge

... “Peasants may act as an extremely conservative role, or may be highly revolutionary.” Try to analyze this view in the light of the relevant historical facts. A: 农民阶级的经济地位和 所 处的时代条件决定了它可能充 当 一种具有 高 度革命 性 的角色。以 太平天国 ...

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Unit 3. Answering the Research Question: Quantitative Designs

Unit 3. Answering the Research Question: Quantitative Designs

... The notion of equivalence is often a concern when different observers are using the same instrument to collect data at the same time. For example, three observers may be using a check- list to identify the mood ...

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Finding Structured Data from Unstructured Data for Question Answering

Finding Structured Data from Unstructured Data for Question Answering

... mainly research on Automatic Question Answering System commonly uses unstructured data as the data ...structured data for Question Answering has been forgotten by ...

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Template-based Question Answering over RDF Data

Template-based Question Answering over RDF Data

... Before we turn to the evaluation results, one important preliminary remark: The reported results are results based on natural language questions tagged with ideal part-of- speech information. The reason is that ...

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Instance Based Question Answering: A Data Driven Approach

Instance Based Question Answering: A Data Driven Approach

... Training data is a critical resource for this ap- proach - clusters with very few data points are not likely to generate accurate ...involving data acquisition are promis- ing to deliver larger ...

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A Data Driven Approach to Query Expansion in Question Answering

A Data Driven Approach to Query Expansion in Question Answering

... Table 7: “Helpful extension words”: the set of extensions that, when added to the query, move redundancy above zero. r = 5 , n = 20 , using Indri at passage level. Using simple TF based feedback (see Section 3.4), 5 ...

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Question Answering on Web Data: The QA Evaluation in Quæro

Question Answering on Web Data: The QA Evaluation in Quæro

... promoting research and industrial in- novation on technologies for automatic analysis and classi- fication of multimedia and multilingual ...many research areas concerned by Quæro, a yearly eval- uation ...

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Template-based Question Answering over RDF Data

Template-based Question Answering over RDF Data

... Before we turn to the evaluation results, one important preliminary remark: The reported results are results based on natural language questions tagged with ideal part-of- speech information. The reason is that ...

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Meta-Learning and Data Augmentation for Robust Question Answering

Meta-Learning and Data Augmentation for Robust Question Answering

... on data from only one ...within one task, the conventional meta-learning algorithms takes in the same set of data for each ...repeated data and 2) different data. The different ...

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