[PDF] Top 20 Automatic Question Answering: Beyond the Factoid
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Automatic Question Answering: Beyond the Factoid
... a question-answer pair training corpus by mining FAQ pages from the Web, as described in Section ...a question into a phrase-based query (see Section ...given question is found by computing an answer ... See full document
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Islamic Applications of Automatic Question-Answering
... QA system that uses an Arabic Named Entity Recognition (NER) with the Arabic-JIRS (Java Information Retrieval System) to extract passages from Arabic documents. ArabiQA is an Arabic Q/A prototype based on the JIRS ... See full document
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Automatic Discovery of Intentions in Text and its Application to Question Answering
... The current state-of-the-art NLP systems cannot ex- tract intentions from open text and, as we saw in the example, their detection benefits Question Answer- ing. An intention is the answer to general questions ... See full document
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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 ... See full document
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Introduction of a Probabilistic Language Model to Non-Factoid Question Answering Using Example Q&A Pairs
... ... See full document
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Predicting Answer Location Using Shallow Semantic Analogical Reasoning in a Factoid Question Answering System
... of question (a), we can see that the final an- swer is a noun phrase (NP), which is surrounded by a preposition (PP) and a stop sign ...In question (b), we also found that the final answer is located in a ... See full document
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Code Mixed Question Answering Challenge: Crowd sourcing Data and Techniques
... In order to study differences between lexical bias from entrainment and elicit lexically diverse questions, we employ two modes of data col- lection: eliciting code-mixed questions from a) images and b) code-mixed ... See full document
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Question Answering as an Automatic Evaluation Metric for News Article Summarization
... The task of automatic text summarization aims to produce a concise version of a source document while preserving its central information. Current summarization models are divided into two ap- proaches, extractive ... See full document
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Towards Automatic Evaluation of Question/Answering Systems
... This paper presents an innovative approach to the automatic evaluation of Question Answering systems. The methodology relies on the use of the Web, considered as an “oracle” containing all the ... See full document
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Automatic Set Expansion for List Question Answering
... Preliminary experiments showed that we can ob- tain a good balance between the amount and quality of the documents fetched by using only rare ques- tion terms as hint words. In particular, we select the three ... See full document
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Non Factoid Japanese Question Answering through Passage Retrieval that Is Weighted Based on Types of Answers
... A question-answering system is an application de- signed to produce the correct answer to a question given as ...a question- answering system may retrieve text containing sen- tences ... See full document
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An analysis of machine translation errors on the effectiveness of an Arabic-English QA system
... a question answering system designed to search French documents in response to French ...used automatic translation resources to translate the original que- ries from (Dutch, German, Italian, ... See full document
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Going Beyond Traditional QA Systems: Challenges and Keys in Opinion Question Answering
... QA can be defined as the task in which given a set of questions and a collection of documents, an automatic NLP system is employed to re- trieve the answer to the queries in Natural Lan- guage (NL). Research ... See full document
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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 ... See full document
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Answering Naturally: Factoid to Full length Answer Generation
... extracts question- answer pairs from Chinese communityQA web- ...conversational question an- swering dataset through which the system gener- ates free-form answers from the whole conversa- tional history ... See full document
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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, we ... See full document
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Generating Answering Patterns from Factoid Arabic Questions
... DefArabicQA (Trigui et al., 2010) provides short answers to Arabic natural language questions. This system provides effective and exact answers to definition questions expressed in Arabic from Web resources. ... See full document
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Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non factoid Question Answering
... Question Answering (QA) is a challenging task that draws upon many aspects of NLP. Unlike search or information retrieval, answers infrequently con- tain lexical overlap with the question (e.g. What ... See full document
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EviNets: Neural Networks for Combining Evidence Signals for Factoid Question Answering
... ple entities. To help the model distinguish the correct answer, and explore its abilities to en- code structured and unstructured data, we gener- ated additional entity type triples. For example, if an entity E appears ... See full document
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A Factoid Question Answering System Using Answer Pattern Matching
... Turkish factoid QA system which uses surface level patterns called answer patterns in order to extract the answers from the documents that are retrieved from the ...best factoid QA systems in the ... See full document
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