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Question Answering System using Multiple Information Source and Open Type Answer Merge

Seonyeong Park, Soonchoul Kwon, Byungsoo Kim, Sangdo Han, Hyosup Shim, Gary Geunbae Lee
2015 Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations  
This paper presents a multi-strategy and multisource question answering (QA) system that can use multiple strategies to both answer natural language (NL) questions and respond to keywords.  ...  We develop open semantic answer type detector for answer merging and improve previous developed single QA modules such as knowledge base based QA, information retrieval based QA.  ...  In the semantic parsing approach, the system first generates candidate segments of the question sentence and tries to match KB vocabularies to the segments by combining use of string-similarity based methods  ... 
doi:10.3115/v1/n15-3023 dblp:conf/naacl/ParkKKHSL15 fatcat:2jqfj44syvd3xev4fae56eep4i

Architecture of an Ontology-Based Domain-Specific Natural Language Question Answering System

Athira P.M, Sreeja M, Reghuraj P.C
2013 International journal of Web & Semantic Technology  
This paper describes the architecture of a Natural Language Question Answering (NLQA) system for a specific domain based on the ontological information, a step towards semantic web question answering.  ...  Question answering (QA) system aims at retrieving precise information from a large collection of documents against a query.  ...  QUESTION ANSWERING SYSTEM Question Answering, the process of extracting answers to natural language questions, is profoundly different from Information Retrieval (IR) or Information Extraction (IE).  ... 
doi:10.5121/ijwest.2013.4403 fatcat:rymzhy3bprcvheo4vqxvnoxbbq

BioASQ: A Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering [chapter]

Georgios Balikas, Anastasia Krithara, Ioannis Partalas, George Paliouras
2015 Lecture Notes in Computer Science  
BIOASQ aims to push towards systems that will allow biomedical workers to express their information needs in natural language and that will return concise and user-understandable answers by combining information  ...  BIOASQ encourages participants to adopt semantic indexing as a means to combine multiple information sources and to facilitate the matching of questions to answers.  ...  BioASQ encourages participants to adopt semantic indexing as a means of combining multiple information sources and facilitating the matching of questions to answers.  ... 
doi:10.1007/978-3-319-24471-6_3 fatcat:evlqerqosnbl7j7o46a7pertsu

Question Classification: A Review of State-of-the-Art Algorithms and Approaches

S. Jayalakshmi, Ananthi Sheshasaayee
2015 Indian Journal of Science and Technology  
In the recent year Question Answering System achieved significant progress in which Question Classification is an essential component.  ...  To design a question classification that assign a semantic category to a given question that represents the type of answer required resulting in an accurate Answer.  ...  The QC has a significant role in the question answering system. The syntactic and semantic structure representation of QC and question answering system are described in 1 .  ... 
doi:10.17485/ijst/2015/v8i29/87466 fatcat:t6tp626n2rhc3oqtyfibdnq4g4

Recursive Question Decomposition for Answering Complex Geographic Questions [chapter]

Sven Hartrumpf, Johannes Leveling
2010 Lecture Notes in Computer Science  
GIRSA-WP (GIRSA for Wikipedia) is a fully-automatic, hybrid system combining methods from question answering (QA) and geographic information retrieval (GIR).  ...  This paper describes the GIRSA-WP system and the experiments performed for GikiCLEF 2009, the geographic information retrieval task in the question answering track at CLEF 2009.  ...  The definition of the GikiCLEF score and other task details can be found in [9] .  ... 
doi:10.1007/978-3-642-15754-7_36 fatcat:hehxoypv2bc3fal2hvl5hfzpyu

A Multi-agent Approach to Question Answering [chapter]

Cássia Trojahn dos Santos, Paulo Quaresma, Irene Rodrigues, Renata Vieira
2006 Lecture Notes in Computer Science  
In this paper we present a multi-agent approach to question answering for the Portuguese language.  ...  The cooperation among the agents aims to reach better solutions in each step of the processing.  ...  Introduction Question answering systems aim to retrieve "answers" to questions rather than full documents or even best-matching passages as most information retrieval systems currently do [6] .  ... 
doi:10.1007/11751984_14 fatcat:vqyy2thbsjgszfqnbjplpd3wvu

Mapping of Semantic Web Ontology in User Query System

Rupali R.Khune
2015 International Journal of Computer Applications  
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).  ...  It is used as dictionary in Automated Question Answering System.  ... 
doi:10.5120/19604-1456 fatcat:3p2r65qbprgi3ibkv7es3ly46u

A Hybrid Question Answering System

Waheeb Ahmed, P. Babu Anto
2019 Current Journal of Applied Science and Technology  
In this study, we propose a hybrid Question Answering (QA) system for Arabic language. The system combines textual and structured knowledge-Base (KB) data for question answering.  ...  The system demonstrates higher performance by combining knowledge base and text from external resources.  ...  Knowledge Base Question Answering (KBQA) systems have been classified into two major approaches: semantic parsing, and Information Extraction (IE) [5] .  ... 
doi:10.9734/cjast/2019/v34i330129 fatcat:g3hnnq6syffirezy2frulsph6y

Latent Semantic Inference For Agriculture Faq Retrieval

Dawei Wang, Rujing Wang, Ying Li, Baozi Wei
2007 Zenodo  
For FAQ mining, given a query, the question part and answer part in an FAQ question-answer pair is matched with the input query, respectively.  ...  A semantic matching method is presented to estimate the similarity between the semantic segments of the query and the questions in the pool of the candidate.  ...  Burke et al. combined the lexicon and semantic features to extract semantic components automatically from a corpus of questions in FAQ-Finder [3] .  ... 
doi:10.5281/zenodo.1085286 fatcat:zqajmhcjlfa3fib5mrm4pe3fyy

Systematic mapping study on question answering frameworks over linked data

Ceren Ocal Tasar, Murat Komesli, Murat Osman Unalir
2018 IET Software  
Therefore, systems that combine syntactic and semantic analysis and enrich input questions by sentence-level recognition are examined.  ...  Employing linked data technologies and semantic endpoints for question answering systems are expanding approaches among the researchers.  ...  ('question answering' OR 'question answering systems') AND ('linked data' OR 'semantic endpoint' OR 'ontology') AND ('natural language' OR 'NLP') AND ('information retrieval').  ... 
doi:10.1049/iet-sen.2018.5105 fatcat:rategbtjjvcvherbpuphiivfiy

Question classification with semantic tree kernel

Yan Pan, Yong Tang, Luxin Lin, Yemin Luo
2008 Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '08  
Question Classification plays an important role in most Question Answering systems. In this paper, we exploit semantic features in Support Vector Machines (SVMs) for Question Classification.  ...  We propose a semantic tree kernel to incorporate semantic similarity information. A diverse set of semantic features is evaluated.  ...  A typical QA system adopts a pipeline structure that contains "question analysis", "passage retrieval", "answer extraction" and "answer ranking" modules.  ... 
doi:10.1145/1390334.1390530 dblp:conf/sigir/PanTLL08 fatcat:epywxq64qnfalb7kssqolhh4fi

Improving Question Answering System based on a Hybrid Technique

Ayatallah Gamal Abass, Sameh Abd El-Ghany, Ahmed Abo Elfetoh
2018 Journal of Computer Science  
Question Answering (QA) is a specialized form of information retrieval characterized by information needs that are expressed as natural language statements or questions.  ...  The main goal of this new model is to enrich the question by reformulating it into similar meaning queries with additional information and hence for improving question answering process.  ...  Related Work Semantic Query Expansion in Question Answering System Beginner users may lack enough knowledge in the domain of search.  ... 
doi:10.3844/jcssp.2018.1202.1212 fatcat:bhxfsv6fcfemrktbzuyk63vkja

HAWK – Hybrid Question Answering Using Linked Data [chapter]

Ricardo Usbeck, Axel-Cyrille Ngonga Ngomo, Lorenz Bühmann, Christina Unger
2015 Lecture Notes in Computer Science  
Hence, answering complex questions often required combining information from structured and unstructured data sources.  ...  We present HAWK, a novel entity search approach for Hybrid Question Answering based on combining Linked Data and textual data.  ...  Therefore, a considerable number of questions can only be answered by using hybrid question answering approaches, which can find and combine information stored in both structured and textual data sources  ... 
doi:10.1007/978-3-319-18818-8_22 fatcat:sczyjljcsfga3cf6vvrw2fcb54

Syntax and Semantics Question Analysis Using User Modelling and Relevance Feedback

Syarilla I. Ahmad Saany, Ali Mamat, Aida Mustapha, Lilly S. Affendey, M. Nordin A. Rahman
2017 International Journal on Advanced Science, Engineering and Information Technology  
This analysis interprets all the modifier terms in the user's question in order to yield correct answers. A combination of UM and RF is used to increase the accuracy of the returned answer.  ...  A Question Answering (QA) system aims to provide relevant answers to users' natural language (NL) questions by consulting its knowledge base (KB).  ...  For FREyA, in [7] combine the syntactic parsing with ontology reasoning in order to extract the information contained in the user's NL question.  ... 
doi:10.18517/ijaseit.7.1.1334 fatcat:vivtjfeqpzbvtbil4ykgcqtruq

A Case Study of Question Answering in Automatic Tourism Service Packaging

Liu Wang, Lejian Liao, Kai Yang, Hai Tan
2013 Cybernetics and Information Technologies  
While Web Question Answering System (WQAS) has made great progress in Internet currently, a major limitation of the information sources that current WQASs are using is limited to static page texts.  ...  To plan the services, SHOP2 planner is introduced in our architecture, which adopts a semantic Web for content modeling, logic grammar for question parsing, and Hierarchical Task Network (HTN) for user  ...  Introduction Current Web question answering systems mainly extract data from text information to answer the questions, limited to static text.  ... 
doi:10.2478/cait-2013-0045 fatcat:na7vume2off7xdhy4yz2uryz44
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