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OPEN DOMAIN QUESTION ANSWERING SYSTEM USING SEMANTIC ROLE LABELING

Sreelakshmi V .
2014 International Journal of Research in Engineering and Technology  
A typical QA system uses several language processing techniques. In this paper, an Open Domain Question Answering that answers simple Wh-questions using online search has been proposed.  ...  Search engines only provide the actual facts as a ranked list of documents and links that contain the keywords. However, what a user really wants is often a precise answer to a question.  ...  QA SYSTEM ARCHITECTURE A general Question Answering system is composed of three main modules.  ... 
doi:10.15623/ijret.2014.0327020 fatcat:gh6rmuuz4jbxvmgubmyl6vttga

Biomedical question answering: A survey

Sofia J. Athenikos, Hyoil Han
2010 Computer Methods and Programs in Biomedicine  
Objectives: In this survey, we reviewed the current state of the art in biomedical QA (Question Answering), within a broader framework of semantic knowledge-based QA approaches, and projected directions  ...  Based on the framework, we first conducted a survey of open-domain or non-biomedical-domain QA approaches that belong to each of the three subcategories.  ...  The synthesizer (or extractor) module constructs a semantic graph, based on the semantic role labeling and the semantic information on the documents and the question text.  ... 
doi:10.1016/j.cmpb.2009.10.003 pmid:19913938 fatcat:tv4sel4llbcnjppnn7g2tygqze

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.  ...  The second module allows the process of retrieving the relevant documents. The next module processes the retrieved documents, and the last module performs the extraction and generation of a response.  ...  Also syntactic analysis based on rules and semantic role labeling can be applied to improve both query construction and answer extraction.  ... 
doi:10.5121/ijwest.2013.4403 fatcat:rymzhy3bprcvheo4vqxvnoxbbq

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.  ...  This hybrid rule base takes into account both the exact match of association rules and the hierarchical match of semantic similarity to overcome the mismatch problem between questions and answer words.  ...  Based on ontology semantic relations, keywords extracted in question processing module are expanded to semantically similar words.  ... 
doi:10.3844/jcssp.2018.1202.1212 fatcat:bhxfsv6fcfemrktbzuyk63vkja

Developing an Intelligent Question Answering System

Waheeb Ahmed, Ajusha Dasan, Babu Anto P
2017 International Journal of Education and Management Engineering  
The goal of an intelligent answering system is that the system can respond to questions automatically.  ...  Our intelligent QA (iQA) system for Arabic language will be growing automatically when users ask new questions and the system will be accumulating these new question-answer pairs in its database.  ...  The answer extraction module The main role of this module is to retrieve data from the Web based on the search terms extracted from the question (as a part of the output of the question analysis module  ... 
doi:10.5815/ijeme.2017.06.06 fatcat:5dgensshhvcafmtcd2w36wmfnq

A Survey on Why-Type Question Answering Systems [article]

Manvi Breja, Sanjay Kumar Jain
2019 arXiv   pre-print
Question Answering Systems reduce the time taken to get an answer, to a query asked in natural language by providing the one most relevant answer.  ...  The paper presents a survey on Why-type Question Answering System, details the architecture, the processes involved in the system and suggests further areas of research.  ...  and (8) Forms of answer: Extracted and Generated answer.  ... 
arXiv:1911.04879v1 fatcat:wdvngfqkqvgfvmjn67adebwtqi

AN AUTOMATIC WEB-BASED QUESTION ANSWERING SYSTEM FOR E-LEARNING

Waheeb Ahmed, Babu Anto
2017 Ìnformacìjnì Tehnologì ì Zasobi Navčannâ  
An automatic web based Question Answering (QA) system is a valuable tool for improving e-learning and education.  ...  In this paper we develop technique to detect the type of a question, based on which the proper technique for extracting the answer is used.  ...  Our system generates extract answers as a result. Some QA systems relay on FAQ pages which play an important role for these QA systems.  ... 
doi:10.33407/itlt.v58i2.1567 fatcat:ajwsxxvubberfbdmfihxoeqdai

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  
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.  ...  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.  ...  Acknowledgments This work was supported by the ICT R&D program of MSIP/IITP [R0101-15-0176, Development of Core Technology for Human-like Selftaught Learning based on a Symbolic Approach].  ... 
doi:10.3115/v1/n15-3023 dblp:conf/naacl/ParkKKHSL15 fatcat:2jqfj44syvd3xev4fae56eep4i

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 consists of four modules. 1) a KB, 2) an online module, and 3) A Text- to-KB transformer to construct our own knowledge base from web texts.  ...  In order to extract triples from unstructured text, we use the semantic role labels of a sentence and the dependency tree.  ... 
doi:10.9734/cjast/2019/v34i330129 fatcat:g3hnnq6syffirezy2frulsph6y

A New Architecture of Automatic Question Answering System using Ontology

Pawan Kumar, Raj Kumar Goel, Prem Sagar Sharma
2014 International Journal of Computer Applications  
Question answering system (QAS) consists of three modules question processing, document processing and answer processing. Question processing is the main module of QAS.  ...  These modules are finding the exact answer of given query by the user. In this paper, we have discussed a new model for question answering system which is find exact answer and improved their module.  ...  QAS are classified in two main domain Open domain QAS and Close domain QAS. Open domain QAS deals with almost everything. It generally relies on the ontology and the knowledge of the world.  ... 
doi:10.5120/17120-7671 fatcat:je6s6cshhbfdjo5nnjq7t77qru

Exploring NLP and Information Extraction to Jointly Address Question Generation and Answering [chapter]

Pedro Azevedo, Bernardo Leite, Henrique Lopes Cardoso, Daniel Castro Silva, Luís Paulo Reis
2020 IFIP Advances in Information and Communication Technology  
Question Answering (QA) and Question Generation (QG) have been subjects of an intensive study in recent years and much progress has been made in both areas.  ...  The generated QA datasets contribute to QA evaluation, while QA proves to be an important technique for assessing the ambiguity of the questions.  ...  With a semantic approach [7] , it is possible to obtain the semantic parse of a sentence using semantic role labeling (SRL).  ... 
doi:10.1007/978-3-030-49186-4_33 fatcat:enowej3norddfcuqauibumac4i

Extending Knowledge and Deepening Linguistic Processing for the Question Answering System InSicht [chapter]

Sven Hartrumpf
2006 Lecture Notes in Computer Science  
A new source of lexico-semantic relations and equivalence rules has been established based on compound analyses.  ...  Work on the robustness of these modules will help to answer more questions correctly.  ...  Some parts of this knowledge can be automatically generated, see for example Section 3.2. A third explanation regards the quality of some NLP modules.  ... 
doi:10.1007/11878773_41 fatcat:fmbgkmpwhvar3kzv7ej5lu2qwy

Design of the Effective Question Answering System by Performing Question Analysis using the Classifier

Gayatri Chavan, Sonal Gore
2016 International Journal of Computer Applications  
The system uses named entity normalization, part-of-speech tagging, and a statistical classifier trained on data from the TREC QA task.  ...  Because The main benefit of such QA systems is that the user can ask the query (question) in natural language and he /she get a precise and appropriate answer instead of just displaying a list of links  ...  Then named entity tagger based on TNT is used to generate a question feature which in vector format in feature extraction step.  ... 
doi:10.5120/ijca2016908801 fatcat:b6j5cdrtyjfwbkpvrcafyxk5hu

On the Role of Information Retrieval and Information Extraction in Question Answering Systems [chapter]

Dan Moldovan, Mihai Surdeanu
2003 Lecture Notes in Computer Science  
Question Answering, the process of extracting answers to natural language questions is profoundly different from Information Retrieval (IR) or Information Extraction (IE).  ...  The QA technology takes both IR and IE a step further, and provides specific and brief answers to open domain questions formulated naturally.  ...  The architecture of a generic web-based QA system is shown in Figure 7 .  ... 
doi:10.1007/978-3-540-45092-4_6 fatcat:4soztwbgqjey5ntclovpx5rfnq

A Knowledge-Based Sense Disambiguation Method to Semantically Enhanced NL Question for Restricted Domain

Ammar Arbaaeen, Asadullah Shah
2021 Information  
Extracting the lexical semantic of a Natural Language (NL) question presents challenges at syntactic and semantic levels for most QA systems.  ...  Within the space of question answering (QA) systems, the most critical module to improve overall performance is question analysis processing.  ...  Semantic Role Labelling The automatic labelling of semantic roles serves to determine the meaning of the received question.  ... 
doi:10.3390/info12110452 fatcat:ynxlsrfstrh77mod64243nxoge
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