[PDF] Top 20 Semantic Parsing for Single Relation Question Answering
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Semantic Parsing for Single Relation Question Answering
... Following (Collobert et al., 2011; Shen et al., 2014b), we develop a new convolutional neural network (CNN) based semantic model (CNNSM) for semantic parsing. The CNNSM first uses a convolutional ... See full document
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Improved Neural Relation Detection for Knowledge Base Question Answering
... large relation sets and unseen relations becomes more ...pre-trained relation embeddings ...the relation names to sequences and for- mulate relation detection as a sequence match- ing and ... See full document
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The Value of Semantic Parse Labeling for Knowledge Base Question Answering
... a question, iter- atively growing the query graph by sequentially adding a main topic entity, then adding an in- ferential chain and finally adding a set of con- ...original question, as well as some ... See full document
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Latent Semantic Tensor Indexing for Community based Question Answering
... We compare our method with two baseline methods: Okapi BM25 and LSI and two state- of-the-art methods: (Jeon et al., 2005b)(Xue et al., 2008). In LSI, we regard each triple as a single document. Three annotators ... See full document
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Large Scale Semantic Indexing and Question Answering in Biomedicine
... Furthermore, in the previous work, the system se- lected some of the words of an article as candidate answers. It selected the words that were produced by MetaMap parsing. Although, the results of the previous ... See full document
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Semantic Parsing on Freebase from Question Answer Pairs
... Finally, although Freebase has thousands of prop- erties, open information extraction (Banko et al., 2007; Fader et al., 2011; Masaum et al., 2012) and associated question answering systems (Fader et al., ... See full document
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Using Semantic Roles to Improve Question Answering
... style semantic role information. We present an auto- matic method for semantic role assignment which is conceptually simple and does not require extensive feature ...dependency relation paths at- ... See full document
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Question Answering Using Enhanced Lexical Semantic Models
... the question se- ...the semantic constraints pro- vided in the question? Without representing the question and sentence in logic or syntactic trees, we take a word-alignment view for solving ... See full document
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A semantic graph based topic model for question retrieval in community question answering
... the semantic structure of a question ...and question answering [5], the feasibility and ef- fectiveness of such knowledge-rich approaches in topic mod- elling and question retrieval are ... See full document
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Question Answering on Freebase via Relation Extraction and Textual Evidence
... in relation extraction, but also alleviates the data scarcity problem to some ...the question, who was queen isabella’s mother. Answering this question involves predict- ing two constraints ... See full document
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Entity Relation Extraction as Multi Turn Question Answering
... card-pyramid parsing (Kate and Mooney, 2010), and global probabilistic graphical models (Yu and Lam, 2010; Singh et ...entity- relation triples, naturally combining entity detec- tion and relation ... See full document
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Cross Lingual Question Answering Using Common Semantic Space
... Early Question Answering systems like Baseball (Green Jr et ...utilized semantic parsing tech- niques (Fader et ...the question is converted to an inter- mediate logical form like ... See full document
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Annotating Relation Inference in Context via Question Answering
... [Marelli et al.2014] Marco Marelli, Stefano Menini, Marco Baroni, Luisa Bentivogli, Raffaella bernardi, and Roberto Zamparelli. 2014. A sick cure for the evaluation of compositional distributional semantic models. ... See full document
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Exploring Syntactic Relation Patterns for Question Answering
... and semantic alternations of the ...The semantic alternations consider the synonyms of the ...the semantic relations in WordNet enable the retrieval of syno- nyms, such as hypernym, hyponym, ... See full document
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Compositional Semantic Parsing on Semi Structured Tables
... As our language for logical forms, we use lambda dependency-based compositional seman- tics (Liang, 2013), or lambda DCS, which we briefly describe here. Each lambda DCS logical form is either a unary (denoting a list of ... See full document
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The Role of Lexico Semantic Feedback in Open Domain Textual Question Answering
... Lexical relation between a pair of con- tent words is initially considered to be a string ...ical relation are allowed: (a) common morpho- logical root ...from question Q742: “Who is the owner of CNN ... See full document
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Answer Extraction, Semantic Clustering, and Extractive Summarization for Clinical Question Answering
... meaningless. Semantic relations between drugs, as captured in UMLS, provide an effective method for organizing results—these relations cannot be captured by keyword content ... See full document
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QUALIFIER: Question Answering by Lexical Fabric and External Resources
... working on question answering also employ a variety of linguistic resources, such as the part- of-speech tagging, syntactic parsing, semantic relations, named entity extraction, dictiona[r] ... See full document
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Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base
... same question, as well as the mismatch of the natural language ut- terances and predicates in the knowledge base, we propose using Siamese neural networks (Brom- ley et ...the question to a pattern by ... See full document
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Deep Learning Approaches to Text Production
... Shashi Narayan is a research associate at the School of Informatics at the University of Edinburgh. His research focuses on natural language generation, understanding and structured predictions. A major aim of his ... See full document
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