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[PDF] Top 20 A Heuristic Approach to Factoid Question Generation from Sentence

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A Heuristic Approach to Factoid Question Generation from Sentence

A Heuristic Approach to Factoid Question Generation from Sentence

... each sentence in a corpus using MBSP parser[13] which further applies text processing techniques like chunking, pos tagging and relation ...custom heuristic based question type identification ... See full document

9

Full Machine Translation for Factoid Question Answering

Full Machine Translation for Factoid Question Answering

... each question must be paired with one of the recorded ...a question Q, a web-search engine is used to retrieve 3-sentence-long answer texts from FAQ ...a factoid ques- ...in ... See full document

10

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question Answer Corpus

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question Answer Corpus

... Question generation has attracted interest in recent years with notable work by Rus et ...interest from the Natural Language Generation (NLG) ...rule-based approach was proposed in ... See full document

11

AUTOMATIC QUESTION GENERATION FROM HINDI TEXT USING HYBRID APPROACH

AUTOMATIC QUESTION GENERATION FROM HINDI TEXT USING HYBRID APPROACH

... given sentence. In the second stage of the proposed system, any one approach is used from the rule based approach, dictionary lookup approach and example based approach to ... See full document

8

The Use of Metadata, Web derived Answer Patterns and Passage Context to Improve Reading Comprehension Performance

The Use of Metadata, Web derived Answer Patterns and Passage Context to Improve Reading Comprehension Performance

... correct sentence as the ...the sentence(s) that best answered the ...single sentence in the story that is judged to be an appropriate answer ...learning approach of decision tree and achieved ... See full document

8

Extractive NarrativeQA with Heuristic Pre Training

Extractive NarrativeQA with Heuristic Pre Training

... on question answering and natural language inference, rea- soning over long texts still poses a great chal- ...answering from full narratives ...to approach the more feasible problem of answer ... See full document

11

A Neural Network for Factoid Question Answering over Paragraphs

A Neural Network for Factoid Question Answering over Paragraphs

... Recursive neural networks have achieved state-of-the-art performance in sentiment anal- ysis and parsing (Socher et al., 2013c; Hermann and Blunsom, 2013; Socher et al., 2013a). rnns have not been previously used for ... See full document

12

MICRON: Multigranular Interaction for Contextualizing RepresentatiON in Non factoid Question Answering

MICRON: Multigranular Interaction for Contextualizing RepresentatiON in Non factoid Question Answering

... non-factoid question answering, where the answer may span over multiple ...brid approach allowing multi-granular interac- tions, but represented at word level, enabling an easy integration with ... See full document

6

Title: Rule Based Question Generation System from Punjabi Text Contain Historical Information

Title: Rule Based Question Generation System from Punjabi Text Contain Historical Information

... automatically from a given Punjabi text contain historical ...questions from given sentences. A lot of work is left to develop a question generation system for Indian languages such as ... See full document

6

Study and Implementation of Monolingual Approach on Indonesian Question Answering for Factoid and Non-Factoid Question

Study and Implementation of Monolingual Approach on Indonesian Question Answering for Factoid and Non-Factoid Question

... this approach, we need Named Entity Tagger for Indonesian ...modified approach of Budi et ...a sentence, we identify word (token) feature, literal type feature, contextual feature, morphological ... See full document

10

EviNets: Neural Networks for Combining Evidence Signals for Factoid Question Answering

EviNets: Neural Networks for Combining Evidence Signals for Factoid Question Answering

... Our evidence representation module is based on the ideas of memory networks (Sukhbaatar et al., 2015; Kumar et al., 2015; Miller et al., 2016), which also embed relevant information into a vec- tor space. However, they ... See full document

6

Open domain Factoid Question Answering via Knowledge Graph Search

Open domain Factoid Question Answering via Knowledge Graph Search

... The input for training step in our approach is train- ing and validation sets with their knowledge graph assertions. Using Word2Vec toolkit (Mikolov et al., 2011), we replaced the tokens in the data sets with ... See full document

7

Boosting Passage Retrieval through Reuse in Question Answering

Boosting Passage Retrieval through Reuse in Question Answering

... 1. Question-fact Relatedness The brief dialogue in Table 1 on topic of ice cream is an example of user issuing questions in an orderly manner to gradually explore various aspects of a ...Context Question ... See full document

10

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

... We identified the following five web sites as appropriate sources for collecting why-questions about Adobe Pho- toshop: Adobe Forums 7 , Stack Overflow, Graphic De- sign 8 , Super User 9 and Feedback Photoshop 10 . Al- ... See full document

8

On Computational Sentence Generation From Logical Form

On Computational Sentence Generation From Logical Form

... ON COMPUTATIONAL SENTENCE GENERATION FROM LOGICAL FORM ON COMPUTATIONAL SENTENCE GENERATION FROM LOGICAL FORM Juen tin Wang Institut fur Angewandte Informatik, TU Berlin Summary This paper describes s[.] ... See full document

7

Answer Sentence Retrieval by Matching Dependency Paths acquired from Question/Answer Sentence Pairs

Answer Sentence Retrieval by Matching Dependency Paths acquired from Question/Answer Sentence Pairs

... We now assess the effect of training data size on performance. Tables 5 and 6 presented earlier show that an average of 32.2% of the questions have no matching patterns. This is because the data used for training ... See full document

11

Evaluation of an automatic question generation approach using ontologies

Evaluation of an automatic question generation approach using ontologies

... generated from TO are not limited to inappropriate ontology representations but also due to other ...of question as people normally do not ask the definition of a ...appropriate question word for ... See full document

10

Content Models for Survey Generation: A Factoid Based Evaluation

Content Models for Survey Generation: A Factoid Based Evaluation

... article generation is the task of automat- ically building informative surveys for scientific ...information from scien- tific ...cle generation. Earlier work in the area of survey article ... See full document

10

Germ cell biology  from generation to generation

Germ cell biology from generation to generation

... same question herself and which she had posed earlier: “whether the somatic environment is necessary for the survival of germ cells at this stage, or whether they could be isolated and grown for an indefinite ... See full document

9

An Empirical Analysis of Edit Importance between Document Versions

An Empirical Analysis of Edit Importance between Document Versions

... novel approach to infer significance of various textual ed- its to ...documents from one version to the ...our approach is highly correlated with the human per- ceived importance, established by a ... See full document

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