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[PDF] Top 20 Multi Modal Question Answering: Questions without Keyboards

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Multi Modal Question Answering: Questions without Keyboards

Multi Modal Question Answering: Questions without Keyboards

... Another advantage of this tree structure is that it is easy to manipulate by copying subtrees from one tree into another. Passing this manipu- lated tree to our generation component results in the text output that is ... See full document

6

PhotoshopQuiA: A Corpus of Non Factoid Questions and Answers for Why Question Answering

PhotoshopQuiA: A Corpus of Non Factoid Questions and Answers for Why Question Answering

... non-factoid question answering using Community Question Answering (CQA) web ...about questions and questioners as well as answers and ...for answering why-questions, and ... See full document

8

Textbook Question Answering with Multi modal Context Graph Understanding and Self supervised Open set Comprehension

Textbook Question Answering with Multi modal Context Graph Understanding and Self supervised Open set Comprehension

... Table 3 shows the results of ablation study about occurrence flag. All models do not use SSOC method. In (5), we concatenate three components including the occurrence flag to create question or answer ... See full document

17

Some Challenges of Advanced Question-Answering: an Experiment with How-to Questions

Some Challenges of Advanced Question-Answering: an Experiment with How-to Questions

... infinitive, modal + infinitive, dummy pronoun 'on' + finite verb (this pattern has a semantic restriction: only action verbs are allowed), middle reflexive constructions, and gerundive ... See full document

9

Answering questions by learning to rank   Learning to rank by answering questions

Answering questions by learning to rank Learning to rank by answering questions

... multiple-choice questions in a setting in which no supporting documents are explicitly provided continues to stand as a core problem in natural language ...for answering multiple-choice questions: ... See full document

10

Multi Dimensional Feature Merger for Question Answering

Multi Dimensional Feature Merger for Question Answering

... and questions, and is therefore quite restrictive concerning structural overlap of the question and the ...the question well based on that passage scorer’s evaluation criteria; other passage scorers ... See full document

16

A Qualitative Comparison of CoQA, SQuAD 2 0 and QuAC

A Qualitative Comparison of CoQA, SQuAD 2 0 and QuAC

... We compare three new datasets for question answering: SQuAD 2.0, QuAC, and CoQA, along several of their new features: (1) unan- swerable questions, (2) multi-turn interactions, and (3) ... See full document

6

Learning Question Guided Video Representation for Multi Turn Video Question Answering

Learning Question Guided Video Representation for Multi Turn Video Question Answering

... the question-guided video representation module which learns 1) to summarize the video frame features efficiently us- ing an attention mechanism and 2) to perform fea- ture selection through a gating ...learned ... See full document

11

Automatically Generating Questions from Queries for Community based Question Answering

Automatically Generating Questions from Queries for Community based Question Answering

... both question and answer parts when measuring the related- ness between queries and cQA ...similar questions. Cao et al. (2008) proposed a question recommenda- tion method based on tree cut ... See full document

9

Multi Perspective Question Answering Using the OpQA Corpus

Multi Perspective Question Answering Using the OpQA Corpus

... 30 questions is annotated as an ...the question When was the Kyoto protocol ratified? when a specific date is known) or (2) need to be combined with at least one additional answer segment to fully answer ... See full document

8

Answering Conversational Questions on Structured Data without Logical Forms

Answering Conversational Questions on Structured Data without Logical Forms

... For the initial questions, we find that 26% are match errors, e.g., the model does not match “episode” to “Eps #”, or cases where the model has to exclude rows with empty values from the results. 29% of the errors ... See full document

9

Cross-Modal Multistep Fusion Network with Co-Attention for Visual Question Answering

Cross-Modal Multistep Fusion Network with Co-Attention for Visual Question Answering

... As for fusion strategies, it is intuitive to use linear pooling approach to achieve multi-modal feature fusion. Although these approaches, such as element-wise addition and concatenation, are easy to ... See full document

9

Commonsense for Generative Multi Hop Question Answering Tasks

Commonsense for Generative Multi Hop Question Answering Tasks

... in multi-paragraph, multi-hop inference QA datasets such as QAngaroo (Welbl et ...and answering a question often requires the synthesis of multiple discontiguous pieces of ...to ... See full document

11

A Multi Domain Framework for Textual Similarity  A Case Study on Question to Question and Question Answering Similarity Tasks

A Multi Domain Framework for Textual Similarity A Case Study on Question to Question and Question Answering Similarity Tasks

... a question, and the body field to an expanded version of the question ...a question closely related to the one men- tioned in the subject field, with a context which provides more ...the ... See full document

6

Splitting Complex Temporal Questions for Question Answering Systems

Splitting Complex Temporal Questions for Question Answering Systems

... a multi-layered Question An- swering ...complex questions. That is, questions whose answer needs to be gathered from pieces of factual information scattered in different docu- ...temporal ... See full document

8

Matching sets of parse trees for answering multi-sentence questions

Matching sets of parse trees for answering multi-sentence questions

... a question, and that of an answer, how can we match these sequences? A number of studies compute pair-wise similarity between parse trees (Collins and Duffy, 2002; Punyakanok et ...of questions and answers ... See full document

9

MMQA: A Multi domain Multi lingual Question Answering Framework for English and Hindi

MMQA: A Multi domain Multi lingual Question Answering Framework for English and Hindi

... Question answering (QA) is an important area with a wide range of applicability in various Natural Language Process- ing (NLP) tasks, such as information retrieval, information extraction ...given ... See full document

8

Answering Yes/No Questions via Question Inversion

Answering Yes/No Questions via Question Inversion

... per question, there is nothing about the question inversion process that requires there be only one pivot/abstract inverted question per input question, and in fact we use ...of ... See full document

16

Asking Clarification Questions in Knowledge Based Question Answering

Asking Clarification Questions in Knowledge Based Question Answering

... Our main contribution is constructing a new clarification dataset for KBQA. To build high- quality resources, we elaborately design a data an- notation pipeline, which can be divided into three steps: sub-graph ... See full document

12

Repurposing Entailment for Multi Hop Question Answering Tasks

Repurposing Entailment for Multi Hop Question Answering Tasks

... Question Answering (QA) naturally reduces to an entailment problem, namely, verifying whether some text entails the answer to a ques- ...for multi-hop QA tasks, which require reasoning with multiple ... See full document

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