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factoid question

End to End Non Factoid Question Answering with an Interactive Visualization of Neural Attention Weights

End to End Non Factoid Question Answering with an Interactive Visualization of Neural Attention Weights

... non-factoid question, where the best-ranked candidate is selected as an ...a question and an associated correct answer should lie closely together within the vector space (Feng et ...

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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

... large-scale question- answer corpora ...30M Factoid Question- Answer Corpus, an enormous question- answer pair corpus produced by apply- ing a novel neural network architecture on the ...

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A Neural Network for Factoid Question Answering over Paragraphs

A Neural Network for Factoid Question Answering over Paragraphs

... like factoid question answering typi- cally use manually defined string match- ing rules or bag of words representa- ...when question text contains very few individual words ...

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ComQA: A Community sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters

ComQA: A Community sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters

... in factoid question an- swering (QA) and what users ask, we need large datasets of real user questions that cap- ture the various question phenomena users are interested in, and the diverse ways in ...

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A Factoid Question Answering System Using Answer Pattern Matching

A Factoid Question Answering System Using Answer Pattern Matching

... language question. The aim of a question answering system is to present the required in- formation directly, instead of documents contain- ing potentially relevant ...): factoid ques- tions, list ...

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A Heuristic Approach to Factoid Question Generation from Sentence

A Heuristic Approach to Factoid Question Generation from Sentence

... Factoid questions are the most widely studied task in question answering. In this paper, we survey several different techniques to answer extraction for factoid question answering, which aims ...

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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 ...between question and answer ...non-factoid question answering datasets: WikiPassageQA and InsuranceQA, showing ...

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

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

... for question answering is the final answer selection stage, which has to combine multiple signals available about each answer ...for factoid question answer- ...the question, and aggregates ...

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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

... non- factoid questions was quite ...non- factoid questions. We can see that answers for all non-factoid question categories have similar patterns and contain clue word in the ...

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Exploring Shallow Answer Ranking Features in Cross-Lingual and Monolingual Factoid Question Answering

Exploring Shallow Answer Ranking Features in Cross-Lingual and Monolingual Factoid Question Answering

... Answer ranking is critical to a QA (Question Answering) system because it determines the final system performance. In this paper, we explore the behavior of shallow ranking features under different conditions. The ...

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Predicting Answer Location Using Shallow Semantic Analogical Reasoning in a Factoid Question Answering System

Predicting Answer Location Using Shallow Semantic Analogical Reasoning in a Factoid Question Answering System

... Another finding in our experiments is that there is no trigram answer chunk sequence that really dom- inates in each answer-type. This suggests that each question depends on the sentence structure of a giv- en ...

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Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non factoid Question Answering

Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non factoid Question Answering

... We propose two inexpensive methods for training alignment models using solely free text, by gener- ating artificial question-answer pairs from discourse structures. Our experiments indicate that these methods are ...

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Open domain Factoid Question Answering via Knowledge Graph Search

Open domain Factoid Question Answering via Knowledge Graph Search

... open-domain question answering with no de- pendence on any data set for surface form to logical form mapping or any linguistic ana- lytic tool such as POS tagger or named en- tity ...open-domain question ...

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Full Machine Translation for Factoid Question Answering

Full Machine Translation for Factoid Question Answering

... of question-answer pairs as information ...than question answering, because every document/sentence is known to be the answer of a question written in the form of an answer, and no further ...

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Towards a thematic role based target identification model for question answering

Towards a thematic role based target identification model for question answering

... that question answering can be taken in to a level that can challenge human abilities only through a better extraction technique which can get the exact answer for the given ...OpenEphyra question answering ...

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Neural Domain Adaptation for Biomedical Question Answering

Neural Domain Adaptation for Biomedical Question Answering

... Factoid question answering (QA) has re- cently benefited from the development of deep learning (DL) ...900 factoid (single answer) and list (multiple answers) QA ...on factoid questions and ...

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Code Mixed Question Answering Challenge: Crowd sourcing Data and Techniques

Code Mixed Question Answering Challenge: Crowd sourcing Data and Techniques

... for factoid question answering in three CM languages - Hinglish (Hindi+English), Tenglish (Telugu+English) and Tamlish (Tamil+English) which belong to two lan- guage ...Tenglish factoid questions and ...

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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

... Recent years have witnessed a high interest in non-factoid question answering using Community Question Answering (CQA) web sites. Despite ongoing research using state-of-the-art methods, there is a ...

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No Need to Pay Attention: Simple Recurrent Neural Networks Work!

No Need to Pay Attention: Simple Recurrent Neural Networks Work!

... First-order factoid question answering as- sumes that the question can be answered by a single fact in a knowledge base ...the question, and classifying the question as one of the ...

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Non Factoid Japanese Question Answering through Passage Retrieval that Is Weighted Based on Types of Answers

Non Factoid Japanese Question Answering through Passage Retrieval that Is Weighted Based on Types of Answers

... non-factoid question is “Why are people opposed to the Pri- vate Information Protection Law?” We used vari- ous methods of passage retrieval for the ...input question and output them as the preferred ...

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