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Data Relevant to Answering Research Question Two

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- ...a ...

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Data Augmentation for Visual Question Answering

Data Augmentation for Visual Question Answering

... of two LSTM layers each with 1000 hidden units followed by two fully connected layers, with 7000 units each, which is the size of our vocabulary con- structed by tokening training questions into indi- ...

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Data for question answering: The case of why

Data for question answering: The case of why

... We will come back to this in section 3.2. 2.3. Procedure for data collection Given the lack of suitable data, a data set geared to the needs of QA research into why-questions had to be ...

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PubMedQA: A Dataset for Biomedical Research Question Answering

PubMedQA: A Dataset for Biomedical Research Question Answering

... Comparison of Training Schedules: Multi- phase fine-tuning setting gets 5 out of 9 model- wise best accuracy/macro-F1. Due to lack of an- notated data, training only on the PQA-L (final phase only) generates ...

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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 en- ...

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RESEARCH ISSUES IN COMMUNITY BASED QUESTION ANSWERING

RESEARCH ISSUES IN COMMUNITY BASED QUESTION ANSWERING

... posed question (Jeon et ...addition, two questions having the same meaning may use entirely different ...the question. An example of a question with multiple sentences framed with a scenario ...

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Language Challenges for Data Fusion in Question-Answering

Language Challenges for Data Fusion in Question-Answering

... The last step consists in identifying the variation mode of values. The idea is to draw a trend (increase, decrease, ...) of variation in time so that an explanation can be generated: we draw a regression line which ...

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Evaluating question answering over linked data

Evaluating question answering over linked data

... a two-phase approach in which tools with different interfaces (in particular keyword-based, form-based and natural language interfaces) are evaluated and compared in a con- trolled scenario, both in a fully ...

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Question Generation for Question Answering

Question Generation for Question Answering

... training data. The contribution of the pa- per is 2-fold: First, two types of question generation approaches are proposed, one is a retrieval-based method using convo- lution neural network (CNN), ...

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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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Structured Two-Stream Attention Network for Video Question Answering

Structured Two-Stream Attention Network for Video Question Answering

... Compared with image QA, video QA is more challenging. The LSMDC-QA dataset (Rohrbach et al. 2017) introduced the movie fill-in-the-blank task by transforming the LSMDC movie description dataset to the video QA domain. ...

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Instance Based Question Answering: A Data Driven Approach

Instance Based Question Answering: A Data Driven Approach

... permeate Question Answering (Clarke et ...as question classification, answer extrac- tion, and answer verification are beginning to be ad- dressed through statistical ...time, research efforts ...

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A Data Driven Approach to Query Expansion in Question Answering

A Data Driven Approach to Query Expansion in Question Answering

... deemed relevant by TREC must contain some useful text that can help IR engine ...the relevant documents for each difficult question were retrieved, and passages matching the answer regular expression ...

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Named Entity Recognition in Question Answering of Speech Data

Named Entity Recognition in Question Answering of Speech Data

... top two or three tag probabilities have similar values, but that tags lower down the list still pass the initial thresh- old, while they are not ...allow two tags per ...

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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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Question Answering, Semantic Search and Data Service Querying

Question Answering, Semantic Search and Data Service Querying

... A Question Answering Scenario Let us assume that our Semantic Annotation Framework consists of the Domain Diagram in Figure 1 and YAGO as a reference knowledge ...extract relevant domain information, ...

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A Semantic Question Answering Framework for Large Data Sets

A Semantic Question Answering Framework for Large Data Sets

... the question Where is the finance minister? ( LOCATION (finance minister, ...the question can be answered with several degrees of specificity (Berlin or even Germany, by exploiting the PART - WHOLE ...

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