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Open Domain Real-Time Question Answering Based on Semantic and Syntactic Question Similarity
2016
Text Retrieval Conference
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The Live-QA task involves real user questions, extracted from the stream of most recent questions submitted to the Yahoo Answers (YA) site, which have not yet been answered by humans. ...
Our strategy for answering the questions include question decomposition, question relatedness identification, and answer generation. ...
In order to extract semantically and syntactically similar questions we filtered the candidate questions further based on similar keywords and word order. ...
dblp:conf/trec/DatlaHLBLQPF16
fatcat:tvypr2buuraf3mmisudgrybrvi
Comparative Analysis of Keyword and Semantically Enhanced Question Answering System on Law Domain
2020
Bioscience Biotechnology Research Communications
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The question answering system is based on syntactical & semantical analysis by creating the semantic graph and defining the semantic relationship between semantic entities. ...
We have developed a Question Answering system that considers the semantic information of question inputted and answer retrieved focussing on retrieval of information which is context based. ...
Aaditya prakash, oladimeji Farri[5] implements a real-time question answering system using the syntactic and semantic similarity on open domain. ...
doi:10.21786/bbrc/13.14/66
fatcat:dvidkuonq5cqxljv5zzgh3ou2i
A literature survey on question answering system in natural language processing
2018
International Journal of Engineering & Technology
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The con-straints will include the semantic and syntactic knowledge and framing that sort of question with possible correct answers. ...
Thus this paper gives you a clear vision of how its being worked on question answering and thus it presents a machine learning approach. ...
and answering can be an open ended and can be nearly any kind of domain or topics. And so these domain questioning will have a large set of data base and thus the answers can be retrieved at any time ...
doi:10.14419/ijet.v7i2.33.14209
fatcat:eqv7oz2xanctdoesj5tauh24za
Speech-based Question Answering System " Ikkyu "
2012
Journal of NICT
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Example: the original sentence from which Ikkyu extracted an unexpected but valuable answer regarding the cause of the Japanese deflation ...
Ikkyu regards the question answering process as a relation extraction problem and solves it by a real-time adaptation of the semantic relation acquisition method proposed in ［1］ and ［2］ . ...
Semantic similarity of words calculated based on their distributional profile is called context similarity. ...
doi:10.24812/nictjournal.59.3.4_083
fatcat:qbixobicb5g7bkqc5xc2hkxa24
SimQ: Real-Time Retrieval of Similar Consumer Health Questions
2015
Journal of Medical Internet Research
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Objective: In this study, we aim to develop efficient informatics methods that can retrieve similar Web-based consumer health questions using syntactic and semantic analysis. ...
Finally, the similarity between sentences was calculated using both semantic and syntactic features. Results: We used 2000 randomly selected consumer questions to evaluate the system's performance. ...
Often times, these users post similar questions that have been answered previously. ...
doi:10.2196/jmir.3388
pmid:25689608
pmcid:PMC4376128
fatcat:taodytcfrvejpfbnjypxukd7sy
A survey on question answering technology from an information retrieval perspective
2011
Information Sciences
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On the one hand, natural language queries are reduced to keyword-based searches, on the other hand, knowledge bases are queried with structured or logical queries obtained from the natural language questions ...
We discuss different levels of processing yielding bag-of-words-based and more complex representations integrating part-of-speech tags, classification of the expected answer type, semantic roles, discourse ...
approaches promoted by the TREC, CLEF and NTCIR that focus on open domain QA. ...
doi:10.1016/j.ins.2011.07.047
fatcat:se6dcorj2jbidath35go5wi5yy
A Semantic Question Answering through Heterogeneous Data Source in the Domain of Smart Factory
2020
International Journal on Natural Language Computing
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In this study, we propose a semantic question answering that connects with heterogeneous data sources from different areas and devices of a smart factory. ...
In the end, we will perform qualitative and quantitative evaluation regarding the semantic question answering that exploits heterogeneous data sources, as well as findings and conclude the main points ...
ACKNOWLEDGEMENTS This work is funded by the German Research (DFG) within the Research Training Group Role-Based Software Infrastructures for continuous-context-sensitive Systems (GRK 1907). ...
doi:10.5121/ijnlc.2020.9403
fatcat:gcknl4k7yfhbbp5fkepycdtbpq
Comparison of Question Answering Systems Based on Ontology and Semantic Web in Different Environment
2012
Journal of Computer Science
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Approach: This paper surveys different types of question answering system based on ontology and semantic web model with different query format. ...
Results: The semantic search methodology is implemented by using RDF graph in the application of data structure domain and the performance is also analyzed. ...
Semantic Search Algorithm is based on Conceptual Graph form of user query and domain ontology. ...
doi:10.3844/jcssp.2012.1407.1413
fatcat:xdfchvwntrfjxemyw6z5nogwvm
Principle-to-Program: Neural Methods for Similar Question Retrieval in Online Communities
[chapter]
2020
Lecture Notes in Computer Science
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and semantic equivalence. ...
Similar question retrieval is a challenge due to lexical gap between query and candidates in archive and is very different from traditional IR methods for duplicate detection, paraphrase identification ...
Units in a semantic parse can be leveraged to alleviate defining/labeling them in open domain. ...
doi:10.1007/978-3-030-45442-5_88
fatcat:rdzo4nrrzbhgvd54zkykt4zi4a
Shoo the Spectre of Ignorance with QA2SPR - An Open Domain Question Answering Architecture with Semantic Prioritisation of Roles
2017
International Workshop on Knowledge Discovery on the Web
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Open Domain Question Answering (ODQA) aims at automatically understanding and giving responses to general questions posed in natural language. ...
This, in turn, relies on a proper (i) identification of question keywords to isolate candidate answer passages from documents, and (ii) ranking of the candidate answers to decide which passage contains ...
answering [19] , semantic approaches for question classification [14] , and ODQA based on syntactic and semantic question similarity [6] , with special consideration of existing QA system implementations ...
dblp:conf/kdweb/ScannapiecoT17
fatcat:ejtpjcobinfbjaet2qakanhqoa
Natural Language Question Answering with Goal-directed Answer Set Programming
2021
International Conference on Logic Programming
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Keeping all of these in mind, we have developed various NLU application ranging from visual question answering to a conversational agent. ...
Ideally, for any realistic (human like) NLU system, commonsense reasoning must be an integral part of it and goal directed answer-setprogramming (ASP) is indispensable to do commonsense reasoning. ...
Our goal is also to develop an open-domain conversational AI chatbot based on automated commonsense reasoning that can "converse" with a human based on "truly understanding" that person's utterances. ...
dblp:conf/iclp/0002G21
fatcat:lrvytk3lyff6rekw7utm6vfy4i
Question Answering System over Linked Data: A Detailed Survey
2020
ABC Research Alert
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We also discuss the evaluation campaigns of the existing models based on their precision, recall and F-1 scores on the QALD dataset. ...
As the amount of information in the world is growing very quickly, in the case of the semantic web this increasing amount of information is becoming more difficult to find and manage the exact answers ...
to the end enabled us to development an understanding of the subject and helped us a lot to finish our literature review based research work. ...
doi:10.18034/abcra.v8i1.449
fatcat:whgbzdj5vrfktfwci5akwamh2e
Mapping of Semantic Web Ontology in User Query System
2015
International Journal of Computer Applications
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develop a question answering system from developed framework of ontology's and improve performance by adding semantic relation interpreter which improves response time. ...
The main purpose of the Semantic Web promises a kind Machine Intelligence, which can support a verity of user tasks like efficiency of search engine or Question Answering (QA). ...
Semantic relation interpreter can be used to provide result in quick response time, which used compound nouns to analyse the semantic and syntactic similarity. ...
doi:10.5120/19604-1456
fatcat:3p2r65qbprgi3ibkv7es3ly46u
Using semantic templates for a natural language interface to the CINDI virtual library
2005
Data & Knowledge Engineering
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The input sentences are syntactically parsed using the Link Parser, and semantically parsed through the use of domain-specific templates. ...
This knowledge base is then used at run time to semantically parse the input and create the corresponding SQL query. ...
Acknowledgment This research was supported in part by a grant from NSERC Canada and IDEAS. ...
doi:10.1016/j.datak.2004.12.002
fatcat:64csjthe6nd43p4lxnylzo5sti
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index
2019
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
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Existing open-domain question answering (QA) models are not suitable for real-time usage because they need to process several long documents on-demand for every input query, which is computationally prohibitive ...
In particular, our dense-sparse phrase encoding effectively captures syntactic, semantic, and lexical information of the phrases and eliminates the pipeline filtering of context documents. ...
gifts from Allen Institute for AI, Google, and Amazon. ...
doi:10.18653/v1/p19-1436
dblp:conf/acl/SeoLKPFH19
fatcat:khayf34qmzhfjebghkopaurpmi
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