Question Analysis Module


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Dialog System Modules | k-Nearest Neighbors & Question Answering 2014


Question Answering on Web Data: The QA Evaluation in Quæro. L Quintard, O Galibert, G Adda, B Grau, D Laurent… – LREC, 2010 – lrec.elra.info … As a result, the focus has to be determined by the question analysis module in order to enable the QALC system to find a common noun or verb phrase as answer. … ” The focus of the question, determined by the rules of the question analysis module, is Knight Ridder. … Cited by 19 Related articles All 10 versions

Answering questions with an n-gram based passage retrieval engine D Buscaldi, P Rosso, JM Gómez-Soriano… – Journal of Intelligent …, 2010 – Springer Page 1. J Intell Inf Syst (2010) 34:113–134 DOI 10.1007/s10844-009-0082-y Answering questions with an n-gram based passage retrieval engine Davide Buscaldi•Paolo Rosso• José Manuel Gómez-Soriano•Emilio Sanchis … Cited by 32 Related articles All 8 versions

Biomedical question answering: A survey SJ Athenikos, H Han – Computer methods and programs in biomedicine, 2010 – Elsevier 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 approa. Cited by 53 Related articles All 13 versions

Question answering on english and romanian languages A Iftene, D Trandab??, A Moruz, I Pistol… – … Access Evaluation I. …, 2010 – Springer … The evaluation of the performance of our question-answering systems participating in the ResPubliQA competition concentrated on detecting the module that performed worst. Thus, we started by observing the question analysis module. Only the question Page 6. … Cited by 8 Related articles All 7 versions

DefArabicQA: Arabic definition question answering system O Trigui, HL Belguith, P Rosso – Workshop on Language Resources …, 2010 – academia.edu … the top-n snippets retrieved by the Web search engine. This specific query is constituted of the question topic which is identified by the question analysis module. After collecting the top-n snippets, only those snippets containing … Cited by 9 Related articles All 13 versions

Answer type validation in question answering systems A Grappy, B Grau – Adaptivity, Personalization and Fusion of …, 2010 – dl.acm.org … pairs (answer/type). 3. ANSWER TYPE The expected answer type is determined by the question analysis module of FRASQUES [3], a shallow parser that makes use of syntactic and semantic criteria, the question word and the syntactic form of the question. … Cited by 10 Related articles All 5 versions

Rank learning for factoid question answering with linguistic and semantic constraints MW Bilotti, J Elsas, J Carbonell, E Nyberg – Proceedings of the 19th ACM …, 2010 – dl.acm.org … For the purposes of this study, we consider only the first two modules of the pipelined QA system shown in Figure 1. The Question Analysis module uses NLP resources to map the question into a representation we call the information need, which consists of the linguistic and … Cited by 25 Related articles All 9 versions

Selecting answers to questions from Web documents by a robust validation process A Grappy, B Grau, MH Falco, AL Ligozat… – Proceedings of the …, 2011 – dl.acm.org … Questions may expect a named entity as an answer (as Who is the president of the United States? which expects a person name in response) or not (as Name a Michael Jackson’s success.), and are distinguished by the question analysis module. … Cited by 12 Related articles All 10 versions

Answering Factoid Questions in the Biomedical Domain. D Weissenborn, G Tsatsaronis, M Schroeder – BioASQ@ CLEF, 2013 – ceur-ws.org … 2 A QA system for factoid questions in the biomedical domain Initially, a question analysis module analyses the question, by identifying the lexical answer type (LAT), given a factoid or list question. The LAT is the type of answer(s) the system should search for. … Cited by 5 Related articles All 6 versions

IDRAAQ: New Arabic Question Answering System Based on Query Expansion and Passage Retrieval. L Abouenour, K Bouzoubaa, P Rosso – CLEF (Online Working Notes/ …, 2012 – ceur-ws.org … In AWN, four relations are used in this level: synonymy, hyponymy, hypernymy and SUMO-AWN relations. SUMO Question Analysis Module Passage Retrieval Module Answer Validation Module CLEF question Candidate Passages ID of right answer 1 Keyword-based Level … Cited by 6 Related articles All 7 versions

The MORPH2 new version: A robust morphological analyzer for Arabic texts NC Kammoun, LH Belguith… – JADT 2010: 10th …, 2010 – researchgate.net … answers. It is composed of three main modules: Question analysis module; Passage retrieval module and Answer extraction module. • The anaphora annotating system of Mezghani et al. (2008): the target of this system is to … Cited by 10 Related articles All 3 versions

Improving IdSay: a characterization of strengths and weaknesses in Question Answering systems for Portuguese G Carvalho, DM de Matos, V Rocio – Computational Processing of the …, 2010 – Springer … Page 8. 8 G. Carvalho, DM de Matos, and V. Rocio by the Question Analysis module. … Some minor adjustments were also made in the Question Analysis module, especially regarding co-reference resolution in cluster questions. 4 Results of Improved Version … Cited by 4 Related articles All 5 versions

Question answering using statistical language modelling MH Heie, EWD Whittaker, S Furui – Computer Speech & Language, 2012 – Elsevier … A typical state-of-the-art QA system architecture, such as the one shown in Prager (2006), has a question analysis module which processes a question posed by the user. … 1, follows this pattern closely, although it doesn’t have a separate question analysis module. … Cited by 6 Related articles All 5 versions

Question generation for French: collating parsers and paraphrasing questions D Bernhard, L De Viron, V Moriceau… – Dialogue & Discourse, 2012 – elanguage.net … The evaluation shows that the system is able to generate a majority of good and medium quality questions. We also present an original evaluation of the question generation system using the question analysis module of a question answering system. … Cited by 6 Related articles All 6 versions

Compositional question answering: A divide and conquer approach HJ Oh, KY Sung, MG Jang, SH Myaeng – Information Processing & …, 2011 – Elsevier This paper describes how questions can be characterized for question answering (QA) along different facets and focuses on questions that cannot be answered dire. Cited by 5 Related articles All 7 versions

Can Esculape cure the complex of Oedipe in the medical domain? M Embarek, O Ferret – Adaptivity, Personalization and Fusion of …, 2010 – dl.acm.org … These patterns are then used for extracting answers from selected passages (see Section 2) according to the results of the question analysis module. Each candidate passage is tested against each pattern learnt for the relation that underlies the question. … Cited by 3 Related articles

Text summarization contribution to semantic question answering: New approaches for finding answers on the web E Lloret, H Llorens, P Moreda… – … Journal of Intelligent …, 2011 – Wiley Online Library … thumbnail image Figure 1. Overview of our QA approach. Download figure to PowerPoint. The goal of the question analysis module is to extract all relevant information from the question. Specifically, this module extracts the question type, the focus, and the keywords. … Cited by 5 Related articles All 3 versions

Research on question classification method of Tibetan online automatic question-answering system R Te – Intelligent Networks and Intelligent Systems (ICINIS), …, 2011 – ieeexplore.ieee.org … understand the question. For example, “How many characters are there in Tibetan language?” Through question analysis, the question analysis module will recognize that the user is looking for the number of Tibetan letters. While pre … Cited by 2 Related articles All 4 versions

Enhancing a Question Answering System with Textual Entailment for Machine Reading Evaluation. A Iftene, AL Gînsca, MA Moruz, D Trandabat… – CLEF (Online Working …, 2012 – Citeseer … answer. The query generated by the question analysis module is: Ro: (poate^2 putea) (m?rit?^2 m?ri) (cantitatea^2 cantitate) (culturi^2 cultur?) (cultivate^2 cultivat) simultan bucat? p?mânt to which the system then adds the query: … Cited by 3 Related articles All 4 versions

Multi-Level Human Robot Interaction by Aligning Different Ontologies. S Kobayashi, T Yamaguchi – JCKBSE, 2012 – books.google.com … This module sends the correct recognition results to Question Analysis Module. Figure 7. System Overview for Multi-Level HRI 4.2. Question Analysis Question Analysis Module analyzes the results from the Japanese Speech … Cited by 2 Related articles All 5 versions

Typing candidate answers using type coercion JW Murdock, A Kalyanpur, C Welty… – IBM Journal of …, 2012 – ieeexplore.ieee.org … There are two inputs to each TyCor component. • The lexical answer types (LATs) that the question is asking for, as identified by DeepQA’s question analysis module [8]. A LAT is a text string indicating the type of answer being sought (eg, Bactor,[ Bcountry,[ and Bscarefest[). … Cited by 31 Related articles All 5 versions

Effects of answer weight boosting in strategy-driven question answering HJ Oh, SH Myaeng, MG Jang – Information Processing & Management, 2012 – Elsevier … The right hand side in Fig. 1 corresponds to the offline process of text analysis for answer generations and of strategy learning. The other half on the left roughly corresponds to the process of QA with a user question that needs to go through the Question Analysis module. … Cited by 2 Related articles All 5 versions

A vietnamese natural language interface to database DT Nguyen, TD Hoang, SB Pham – Semantic Computing (ICSC) …, 2012 – ieeexplore.ieee.org … The database of our system is collected from an economic survey of three thousand companies in Vietnam which we will provide further details later on. Our system has two components: Question Analysis module and Result Computing module. … Cited by 2 Related articles All 3 versions

Research of Question Analysis Based on HNC and K Nearest Neighbor X CHENG, J WANG, D LU – Journal of Computational Information Systems, 2010 – jofcis.com … The main function of question text pre-processor in question analysis module is to obtain domain knowledge and extract semantic information from question text submitted by the user, and then generates the HNC symbols property group for question classifier and semantic … Cited by 1 Related articles

A Community-Based Vietnamese Question Answering System QH Tran, ND Nguyen, KD Do, TK Nguyen… – Knowledge and Systems …, 2015 – Springer … 119 Fig. 1 The system user interface Fig. 2 The system architecture Question analysis module analyzes the questions and gives useful information about the question such as keywords, questions types and words’ synonyms. … 2.2 Question Analysis Module … Cited by 1 Related articles All 3 versions

Question analysis for Polish question answering P Przyby?a – ACL 2013, 2013 – Citeseer … forms. 3 Question analysis For the purpose of building an open-domain corpus-based Polish question answering system, a question analysis module, based on some of the solutions presented above, has been implemented. … Cited by 1 Related articles All 5 versions

Question Answering System Based on Web W Lu, J Cheng, Q Yang – Proceedings of the 2012 Fifth …, 2012 – doi.ieeecomputersociety.org … QA is divided into four categories: chat robot, QA based knowledge base, QA retrieval system and QA based on free text. Web QA system is composed with question analysis module, Web information retrieval module and answer extraction module. … Cited by 1 Related articles All 4 versions

Ontology-based interactive question and answering system L Liu, Q Qi, F Li – Internet Technology and Applications, 2010 …, 2010 – ieeexplore.ieee.org … I. INTRODUCTION In information retrieval, question answering (QA) is the task of automatically answering a question posed in natural language [1]. In traditional QA, the question analysis module has to analyze users’ questions deeply [2], in order to get rich and accurate … Cited by 2 Related articles All 2 versions

Interpreting consumer health questions: The role of anaphora and ellipsis H Kilicoglu, M Fiszman, D Demner-Fushman – Proceedings of the 2013 …, 2013 – Citeseer … Addi- tionally, there were 1 etiology, 6 general infor- mation, 2 diagnosis, and 3 prognosis frames. 3.2 Syntactic Dependency Parsing Our question analysis module uses typed de- pendency relations as the basis of syntactic in- formation. … Cited by 4 Related articles All 11 versions

Overview of the NTCIR-11 QA-Lab Task H Shibuki, K Sakamoto, Y Kano… – Proceedings of the …, 2014 – research.nii.ac.jp … Two character language codes are as follows; – EN (English) – JA (Japanese) Two character RunType codes are as follows; – QA (Question analysis module output) (XMI and/or XML) – RS (Information Retrieval result) (XMI and/or XML) – IX (Information Extraction from retrieved … Cited by 3 Related articles

3-Layer ontology based query expansion for searching L Liu, F Li – Advances in Neural Networks–ISNN 2011, 2011 – Springer … in this paper. Page 2. 622 L. Liu and F. Li entities, a set of Domain Description Ontology layer that represent a more detailed description of each attribute of entity which is need by the question analysis module. In order to search … Cited by 2 Related articles All 3 versions

Automatic Recognition of Focus and Interrogative Word in Chinese Question for Classification Z Zhang, Y Zhang, T Liu, S Li – Computer and Information Science, 2010 – ccsenet.org … The goal to classify the expected answer type is to provide the constraint condition for answer extraction. Results of the error analysis of an open domain QA system showed that 36.4% of the errors were generated by the question analysis module (Moldovan et al., 2003). … Cited by 3 Related articles All 2 versions

Question answering D Mollá-Aliod, J Vicedo – Indurkhya and Damerau (eds) Handbook of …, 2010 – nozdr.ru … Figure 20.1 illustrates graphically the interaction and data flow between these components. 20.3. 1 Question Analysis In the question analysis module, questions posed to the system are processed to detect and extract information that might be useful to the other modules. … Cited by 2 Related articles All 4 versions

A Statistical Language Modelling Approach for Question Answering System MM Arutselvan, MT Chellatamilan… – International Journal of …, 2013 – Citeseer … IV. SYSTEM ARCHITECTURE A typical state-of-the-art QA system architecture has a question analysis module which processes a question posed by the user. … System is shown in Fig. 1 follows this pattern closely, although it doesn’t have a separate question analysis module. … Cited by 1 Related articles All 3 versions

A comparative study of Web based and IR based Question Answering Systems M Rosy – International Journal of Advances in Computing and …, 2012 – ijacit.com … 1.1. In general, a Question answering system consists of the following modules: a) Question-Analysis Module identifies the question type, answer type, topic and focus of the query and transforms the question into a query. Page 2. … Cited by 1 Related articles

Adaptation of LIMSI’s QALC for QA4MRE. B Grau, VM Pho, AL Ligozat, AB Abacha… – CLEF (Online Working …, 2012 – ceur-ws.org … We normalized Greek letters, in order to standardize document, questions and answers. Fig. 1. Architecture of QALC4mre We now detail each step of the answering process. 2.2 Question analysis The objectives of the question analysis module are the following: Page 3. … Cited by 2 Related articles All 7 versions

Query expansion using mutual information between words in question and its answer K Komiya, Y Abe, Y Kotani – … (ITI), Proceedings of the ITI 2013 …, 2013 – ieeexplore.ieee.org … (1) Question analysis (2) Relevant document retrieval (3) Candidate answer extraction (4) Candidate answer evaluation In the question analysis module, the system receives a question in natural language and carry out the keyword extraction. … Cited by 1 Related articles

A model of vietnamese person named entity question answering system MV Tran, DT Le, XT Tran, TT Nguyen – Proceedings of the 26th Pacific …, 2012 – aclweb.org … The next steps are similar with the 2nd module. 3.1 Question analysis module 3.1.1 “Who, Whom, Whose” question in Vietnamese Vietnamese linguists have classified Vietnamese sentences by alternative criteria or syntax structure. … Cited by 1 Related articles All 7 versions

Question answering for Portuguese: how much is needed? R Wilkens, A Villavicencio – Advances in Artificial Intelligence–SBIA 2010, 2010 – Springer … The passage retrieval module takes the document retrieved by the IR module and splits it into sentences. Based on the expected type of answer determined by the question analysis module, these sentences are filtered to remove unrelated sentences. … Cited by 1 Related articles All 9 versions

Development of yes/no arabic question answering system WN Bdour, NK Gharaibeh – arXiv preprint arXiv:1302.5675, 2013 – arxiv.org … A story understanding system (QUALM) is described by Lehnert (1981) It works through asking questions about simple, paragraph length stories .Part of the QUALM system includes a question analysis module that links each question with a question type. … Cited by 1 Related articles All 7 versions

Open domain question answering using Wikipedia-based knowledge model PM Ryu, MG Jang, HK Kim – Information Processing & Management, 2014 – Elsevier … The task covers extracting answers from well-organized knowledge-bases for given natural language questions. So, our system is based on a conventional QA system, which consists of a question analysis module, document retrieval module, and answer matching module. … Cited by 3 Related articles All 2 versions

Architecture of an Ontology-Based Domain-Specific Natural Language Question Answering System PC Raj – arXiv preprint arXiv:1311.3175, 2013 – arxiv.org … Using the Stanford CoreNLP, the POS tagging and NER is performed. Shallow parsing is performed to identify the phrasal chunks. The chunks identified in the question analysis module are matched with those identified in the document and relevant sentences are retrieved. … Cited by 1 Related articles All 4 versions

NLEL at RespubliQA 2010. S Correa, D Buscaldi, P Rosso – CLEF (Notebook Papers/LABs …, 2010 – ims-sites.dei.unipd.it … The system has been modified by the addition of two new categories of questions: PERCENTAGE and MODE, and a new question analysis module based on the extraction of constraints by means of idf weights. 3.1 Question Analysis Module … Cited by 1 Related articles All 9 versions

Integrated Question Classification based on Rules and Pattern Matching SK Dwivedi, V Singh – … of the 2014 International Conference on …, 2014 – dl.acm.org … The general architecture of question analysis module is shown in Figure 1. After pre-processing through tokenizer, stemmer and pos tagger, a question enters to question classification phase. … Figure 1. General architecture of Question Analysis Module in a QA System … Cited by 1

Finding more trustworthy answers: Various trustworthiness factors in question answering HJ Oh, YC Yoon, HK Kim – Journal of Information Science, 2013 – jis.sagepub.com … where C(a, Q) computes the confidence value between a and Q. As Q is translated into a set of internal queries, (where N is the number of QA modules), for the strategy chosen based on the question analysis module, C(a, Q) is defined as follows: … Cited by 1 Related articles All 4 versions

ISOFT at QALD-4: Semantic similarity-based question answering system over linked data S Park, H Shim, GG Lee – 2014 – ceur-ws.org … candidates and select the final answer. Typically, the question analysis module involves NL processing (NLP) such as part-of-speech (POS) tagging and dependency parsing. Recently, very large, structured, and semantically … Cited by 2 Related articles

Question answering system using Q & A site corpus Query expansion and answer candidate evaluation K Komiya, Y Abe, H Morita, Y Kotani – SpringerPlus, 2013 – Springer … (1) Question analysis (2) Relevant document retrieval (3) Candidate answer extraction (4) Candidate answer evaluation When a question written in natural language is input into the system, the system carries out keyword extrac- tion in the question analysis module. … Cited by 2 Related articles All 9 versions

An Approach to Enhance Chatbot Semantic Power and Maintainability: Experiences within the FRASI Project A Augello, G Pilato, A Machi… – … Computing (ICSC), 2012 …, 2012 – ieeexplore.ieee.org … Question Analysis module: it contains three rules which in sequence implement a small decision tree with the purpose of identifying the sentence structure. Simple well defined structures are searched for at first, complex ones later. … Cited by 1 Related articles All 3 versions

Learning automatic question answering from community data D Wang – 2012 – uwspace.uwaterloo.ca … systems. Intuitively, if question analysis module can not provide enough information from question, 2 Page 12. … question. In Text-based QA systems, constructing keywords extension is commonly a must-have task in question analysis module. … Cited by 1 Related articles All 4 versions

A novel approach for question answering and automatic diagnosis based on pervasive agent ontology in medicine Q Guo – International Journal of Intelligent Systems, 2010 – Wiley Online Library Page 1. A Novel Approach for Question Answering and Automatic Diagnosis Based on Pervasive Agent Ontology in Medicine Qing-lin Guo1,2,? 1School of Computer Science and Technology, North China Electric Power University … Cited by 1 Related articles All 2 versions

On the evaluation and improvement of Arabic WordNet coverage and usability L Abouenour, K Bouzoubaa, P Rosso – Language resources and …, 2013 – Springer … recognition (NER) task (Benajiba et al. 2009) and (ii) improves the question analysis module in the Arabic question/ answering (Q/A) system called QASAL (Brini et al. 2009a, b). In summary, AWN presents many advantages … Cited by 4 Related articles All 5 versions

Question Analysis for a Community-Based Vietnamese Question Answering System QH Tran, M Le Nguyen, SB Pham – Knowledge and Systems Engineering, 2015 – Springer … system [17] is shown in Figure 1. It includes three modules: Database Construction, Question Analysis and Answer se- lection, in which the database construction module aims to build the database of question-answer pairs, while the question analysis module extract the useful … Cited by 1 Related articles All 2 versions

A proposal on support for reading of novels using question answering technology S Okada, T Arakawa – Control, Automation and Systems (ICCAS …, 2013 – ieeexplore.ieee.org … We show the system diagram in Fig I. The system consists of question analysis module, answer search module, and answer evaluation module. — … 4.2 Question analysis The question analysis module conducts “question classification” and “keyword selection”. … Related articles All 2 versions

A Chinese question answering system based on web search ZJ Liu, XL Wang, QC Chen, YY Zhang… – Machine Learning and …, 2014 – ieeexplore.ieee.org … (4) Where R(x,q) is the relevant coefficient between answer x and question q; n is the number of keywords in question q; W; is the weight of ith keyword, which is calculated in question analysis module; d;(x) is the distance between answer x and ith keyword. … Related articles

Overview of knowledge extraction techniques in five question-answering systems F Jebbor, L Benhlima – … and Applications (SITA-14), 2014 9th …, 2014 – ieeexplore.ieee.org … According to the system performance test [2], we can notice the following: • The question analysis module is effective at 90 %, which requires only minor corrections; • It is preferable to use Okapi during the stage of raw information research rather than developing a new search … Related articles

Voice-QA: Evaluating the Impact of Misrecognized Words on Passage Retrieval M Calvo, D Buscaldi, P Rosso – Advances in Artificial Intelligence– …, 2012 – Springer … The Answer Extraction module analyses the passages previously retrieved and using the information given by the Question Analysis module looks up the answer to the original question. The most critical part in a QA system is the Question Analysis module. … Related articles All 15 versions

BFQA: A Bengali Factoid Question Answering System S Banerjee, SK Naskar, S Bandyopadhyay – Text, Speech and Dialogue, 2014 – Springer … The question analysis module accepts natural language question in Bengali as input posed by the user. … [18] stated that when the question analysis module fails, it is hard or almost impossible for a QA system to provide correct answer. … Related articles All 4 versions

A Natural Language Question Answering System in Malayalam Using Domain Dependent Document Collection as Repository K Pragisha, PC Reghuraj – ijclnlp.org … Answer identification. The communication between the modules shows that the question analysis module receives question from the user and do the question analysis procedure. … Question analysis module accepts single sentence level questions from the user. … Cited by 2 Related articles

Question Answering System-Hypothesis Generation and Reranking of Answers J Grundström – fileadmin.cs.lth.se … The Question analysis module predicts an- swer type using a trained answer type classi- fier and is responsible for building a search query. … The question analysis module take the question text as input and is responsible for building a query for searching paragraphs. … Related articles

Research of passage retrieval for question answering system X Li – 2010 – dspace.cityu.edu.hk … 2.1 Automatic Question Answering System …..14 2.1.1 Question Analysis Module…..14 2.1 … 45 Figure 12 Question Analysis Module …..46 … Related articles

AQuASys: A Question-Answering System For Arabic S BEKHTI, M AL-HARBI – WSEAS International Conference. Proceedings. …, 2013 – wseas.us … The proposed system is composed of three modules: A question analysis module, a sentence filtering module and an answer extraction module. The question analysis phase is crucial and plays an essential role in the answer finding phase. … 3.2.1 The Question Analysis Module … Related articles All 2 versions

Design of Online Testing System Based on Web X Fu, S Fu – Advanced Materials Research, 2014 – Trans Tech Publ … Detailed Desing of Functional Module The whole system is divided in accordance with functions: user login module, test module, system management module, score analysis module and question analysis module. Conclusion … Related articles All 2 versions

Design of a Novel Search Engine for Prospective Question Answering R Madaan, AK Sharma, A Dixit – International Journal of Information …, 2014 – igi-global.com … consists of the following modules: Figure 1. Architecture of question answering system. • Question-Analysis Module: Identifies the question type, answer type, topic and focus of the question and transforms question into a query. • …

Research of Passage Retrieval for Question Answering System ??????????????? – 2010 – lbms03.cityu.edu.hk … 2.1 Automatic Question Answering System …..14 2.1.1 Question Analysis Module…..14 2.1 … 45 Figure 12 Question Analysis Module …..46 … All 2 versions

Research on the Question Answering System in Chinese Based on Knowledge Represent of Conceptual Graphs P Liu, L Li, Z Li – Applied Informatics and Communication, 2011 – Springer … 3 The Structure of QACG According to QA structure [2,4], QACG structure is designed in this section. QACG includes the question analysis module, information search module and answering extraction module. A. The Question Analysis Module … Related articles All 2 versions

Selecting answers with structured lexical expansion and discourse relations M Gleize, B Grau, AL Ligozat, VM Pho, G Illouz… – ims-sites.dei.unipd.it … 3 Question analysis The aim of the question analysis module is to determine the question category. As we decided to focus on discourse relations, we adapted our existing systems to detect the kind of discourse relation between the answer and the question words. … Related articles All 4 versions

Study on Question Understanding of Web-based Question-answering System F SU, D GAO, C YE – Journal of Test and Measurement Technology, 2012 – en.cnki.com.cn The question understanding technology of question-answering system is studied,and the question information is mined deeply in the question analysis module.Firstly,the question is processed with segmentation and stop words removing.Then,the key word expansion method … Related articles

Robust question answering G Carvalho, DM de Matos, V Rocio – 2011 – propor2012.org … In the manual interface, the system is not prepared to treat co-reference between questions. Each question is treated in the question analysis module to determine the question type and other information to be used in answer extraction module (red dashed line in Fig. … Related articles All 4 versions

Using Semantic Constraints for Question Answering QP Zeng, SX Wu – Advanced Materials Research, 2013 – Trans Tech Publ … In the Question Analysis module, three pieces of information are extracted by Question Analysis module: a domain, a question topic, and keywords. A keyword can be a single noun, a compound noun, or a genitive noun phrase. The … Related articles

Chinese question classification based on mining association rules. YL Sun – ICMLC, 2010 – xanadu.cs.sjsu.edu … A typical question answering system includes four modules: question analysis, search module, answer candidate extraction and answer selection. Question analysis module extracts keywords, classifies question type and gives a kind of formal expression of a given question. … Related articles All 3 versions

Ripple Down Rules for Question Answering DQ Nguyen, DQ Nguyen, SB Pham – arXiv preprint arXiv:1412.4160, 2014 – arxiv.org Page 1. Ripple Down Rules for Question Answering Dat Quoc Nguyena,c,?, Dai Quoc Nguyenb,c and Son Bao Phamc a Department of Computing, Faculty of Science and Engineering, Macquarie University, Australia E-mail … Related articles All 2 versions

Using Syntactic Features in Answer Reranking J Grundström, P Nugues – … 2014 Workshop on Cognitive Computing for …, 2014 – lup.lub.lu.se … The question analysis module predicts the answer type using a classifier and is responsible for building a search query. … Question Analysis The question analysis module takes the question text as in- put and creates a query to extract a set of paragraphs. … Related articles All 4 versions

Answer planning based answer generation for cooking question answering system. L Xia – Journal of Chemical and Pharmaceutical Research, 2014 – jocpr.com … architecture of question analysis In question analysis module, user’s questions w domain dictionary and remove stop w effectively, we have increased five kinds of doma taste type.) and added them to domain dictionary In QA system … Related articles All 2 versions

Question Parsing for QA in Spanish. I Gayo – RANLP Student Research Workshop, 2011 – researchgate.net … 3 SpQA SpQA is a parser under development designed for Spanish question analysis in a QA context. There- fore, it is thought to be part of the question analysis module of QA systems. The grammar that is behind it is a Context Free Grammar written in the AGFL formalism3. … Related articles All 10 versions

Using WordNet into UKB in a Question Answering System for Basque OP de Vinaspre, M Oronoz, O Ansa – GWC 2012 6th International Global … – dare.ubvu.vu.nl … of the system. As it is common in question answering sys- tems, Ihardetsi is based on three main modules: the question analysis module, the passage retrieval module and the answer extraction module. Those modules can … Related articles All 4 versions

Building and Exploring Semantic Equivalences Resources. G Carvalho, DM de Matos, V Rocio – LREC, 2012 – lrec-conf.org … presented in Figure. 4. Each question is treated in the Question Analysis module to determine the question type and other information to be used in the Answer Ex- traction module (red dashed line in Figure. 4). The Ques- tion … Related articles All 3 versions

sJanta: An Open Domain Question Answering System MA Rahman, MM Rahoman – research.nii.ac.jp … Finally, section 4 concludes our study. 2 System Architecture The overall architecture of sJanta is shown in figure 1 and consists in two major components: a “Question Analysis Module” and a “Answer Generator Module”. The … Related articles All 2 versions

Answer Extraction Model Based On Named Entity Recognition YH Lu, MH Liang – Applied Mechanics and Materials, 2014 – Trans Tech Publ … The interrogative words played an important role in classification of questions [7]. It generally used two Classifiers simultaneously for classifying the multi-level questions [8]. The final step in question analysis module was to generate a good search query according to the … Related articles All 2 versions

Multiple Choice Question Corpus Analysis for Distractor Characterization VM Pho, T André, AL Ligozat, B Grau, G Illouz… – … and Evaluation (LREC …, 2014 – perso.limsi.fr … Page 3. annotations of alternatives on the one hand, and distractors on the other hand. The first type of annotation determines whether the alterna- tives correspond to the EAT (deduced by the annotator, and not the result of a question analysis module): … Related articles All 4 versions

Performance Analysis of Effective Japanese and Chinese Question Answering System J Kaur, V Gupta – ijettjournal.org … PERCENT. In general, fine-grained answer taxonomy improves MRR [17].. B. Description of Each Module 1. Question Analysis The Question-Analysis Module normalizes questions and determines expected answer types. Question … Related articles All 2 versions

Answer Extraction with Multiple Extraction Engines for Web-Based Question Answering H Sun, F Wei, M Zhou – Natural Language Processing and Chinese …, 2014 – Springer … Some QA systems directly employ well-built search engines for this task which are called Web-based QA systems [1]. This kind of systems contain three modules: 1) question analysis module to analyze question and generate queries; 2) passage retrieval module to retrieve … Related articles All 5 versions

Pragmatic analysis based query expansion for Chinese cuisine QA service system L Xia, F Ren – … and Knowledge Engineering (NLP-KE), 2010 …, 2010 – ieeexplore.ieee.org … The flowchart of the Web-based QA system is shown in Figure 1. And we have already completed the question analysis module. … we have carried out question analysis to these instances. Figure 2 shows the architecture of question analysis module. scr queslion + … Related articles All 2 versions

Processing comparisons and evaluations in business intelligence: A question answering system K Choi, RM Pacaña, AL Tan, J Yiu… – Uncertainty Reasoning …, 2011 – ieeexplore.ieee.org … representations to be discussed in the next sections. The Question Analysis Module semantically processes the natural language question and creates a question representation. An input question passes through a preprocessor … Related articles

[BOOK] Computational Processing of the Portuguese Language: 9th International Conference, PROPOR 2010, Porto Alegre, RS, Brazil, April 27-30, 2010. … TAS Pardo, A Branco, A Klautau, R Vieira, VLS de Lima – 2010 – books.google.com … Page 20. 8 G. Carvalho, DM de Matos, and V. Rocio by the Question Analysis module. … Some minor adjustments were also made in the Question Analysis module, especially regarding co-reference resolution in cluster questions. … Related articles All 2 versions

Web Communication Protocols for Coordinating the Modules of AnHitz, a Basque-Speaking Virtual 3D Expert on Science and Technology I Leturia, A del Pozo, D Oyarzun, U Iturraspe… – Web Services and … – Citeseer … It works over a Science and Technology corpus compiled by Elhuyar and IXA, the ZTCorpus. As is common in question answering systems, Ihardetsi is based on three main modules: the question analysis module, the passage retrieval module and the answer extraction module. … Related articles All 10 versions

Text Segmentation Model Based LDA and Ontology for Question Answering in Agriculture D Hu, W Wang, S Liu, N Xie, GW Yin – Proceedings of 2013 World …, 2014 – Springer … There were three main modules in the architecture. In the question analysis module, three pieces of information were extracted by linguistic analysis: domain feature words (FWs), a question type, and an answer type (AT). Domain … Related articles All 3 versions

Answer Ranking Framework Based on Integration of Multi-layer Graphical Models L Ma, Z Li – arnetminer.org … k Count Count Sw (7) where w(qi) represents the weight of qi given by question analysis module of system. ? ? + * 1 min{ ))}(1 max{ 1 log{ )(*) k ACc j i j i j i j i … (11) where the weight of slot1 and slot2 are given by question analysis module. … Related articles

Exploring the Effects of Root Expansion, Sentence Splitting and Ontology on Arabic Answer Selection AM Ezzeldin, Y El-Sonbaty, MH Kholief – researchgate.net … The question analysis module applies morphological analysis, and identifies some question patterns to highlight the question focus, then searches the inverted index for the ques- tion keywords and returns the question snippets. … Related articles All 2 versions

Computational Processing of the Portuguese Language TAS Pardo, ABA Klautau – Lecture Notes in Computer Science, 2010 – Springer … Page 20. 8 G. Carvalho, DM de Matos, and V. Rocio by the Question Analysis module. … Some minor adjustments were also made in the Question Analysis module, especially regarding co-reference resolution in cluster questions. … Related articles All 3 versions

A Vietnamese Question Answering System in Vietnam’s Legal Documents HT Duong, BQ Ho – Computer Information Systems and Industrial …, 2014 – Springer Page 1. K. Saeed and V. Snášel (Eds.): CISIM 2014, LNCS 8838, pp. 186–197, 2014. © IFIP International Federation for Information Processing 2014 A Vietnamese Question Answering System in Vietnam’s Legal Documents Huu-Thanh Duong and Bao-Quoc Ho … Related articles All 2 versions

Question Answering Y Benajiba, P Rosso, L Abouenour, O Trigui… – … Language Processing of …, 2014 – Springer … Given as input the question, typed or via a voice interface [ 55 ], the question analysis module determines the type of the given question (question classification), in order to pass the information about the expected type of answer to the answer extraction module, together with the … Related articles All 3 versions

Semantic Retrieval Approach to Factoid Question Answering for Bulgarian S Peshterliev, I Koychev – … Conference on Software, Services and Semantic …, 2011 – Springer … Simov and Osenova described the architecture of BulQA [9], a Q&A system for Bulgarian language with a question analysis module, an interface module and an answer extraction module, which was evaluated at CLEF 2005. … Related articles All 12 versions

New Hybrid Algorithm for Question Answering J Kaur, V Gupta – … Journal of Engineering & Technology (0975- …, 2013 – enggjournals.com … Architecture The architecture for the proposed hybrid approach for question answering is shown in Figure 1: The new hybrid algorithm for question answering system includes the following modules as explained below: 1. Question Analysis: The question analysis module in our … Related articles All 5 versions

Structured retrieval using SOLR L Boytsov – 2015 – boytsov.info … re- lationship. Similar to Bilotti [3], we attempted to enhance queries with answer type placeholders. To this end, we predicted the question answer-type using the question-analysis module of the Open Ephyra [21]. If the type … Related articles

Fine-grained Linguistic Evaluation of Question Answering Systems. S El Ayari, B Grau, AL Ligozat – LREC, 2010 – limsi.fr … In this way, it will be possible to follow the treatment of specific phenomena all along the process by storing all the question characteristics resulting from the question analysis module and retrieving them in the results of the analysis of selected passages. 4.2. … Related articles All 9 versions

Semantic Analysis-Enhanced Natural Language Interaction in Ubiquitous Learning D Wen, Y Gao, G Yang – Ubiquitous Learning Environments and …, 2015 – Springer … 7.3 (Wen et al. 2008). Question analysis module: this module processes the question, analyzes the question type, and produces a set of keywords for retrieval. Information retrieval module: this module takes the keywords produced … Related articles All 3 versions

Semantic Information Integration and Knowledge Discovery Based on Pervasive Ontology HF Wu, QL Guo – Journal of Computational and Theoretical …, 2012 – ingentaconnect.com Page 1. Delivered by Publishing Technology to: ? IP: 93.91.26.12 On: Wed, 11 Jun 2014 05:23:06 Copyright: American Scientific Publishers RESEARCH AR TICLE Copyright © 2012 American Scientific Publishers All rights reserved Printed in the United States of America … Related articles All 2 versions

A Survey on Question Answering System BC Das – cfilt.iitb.ac.in Page 1. A Survey on Question Answering System By Biplab Ch. Das Roll No: 123050068 Under the guidance of Prof. Pushpak Bhattacharyya Department of Computer Science & Engineering, Indian Institute of Technology, Bombay Page 2. PAGE 1 Biplab | [Course Title] | [Date] … Related articles

Design And Development Of A Named Entity Based Question Answering System For Malayalam Language M Bindu – 2012 – dyuthi.cusat.ac.in … 4.1.1 Indexing Module …..45 4.1.2 Question Analysis Module …..50 … 49 4.4 Question Analysis Module ….. 51 …

Cross-lingual question answering BE Sacaleanu – 2012 – scidok.sulb.uni-saarland.de … of a question by way of term translation (machine readable dictionaries, machine translation word alignments). • Development of a Question Analysis module based on semantic rules defined over syntactic constituents. • Development … Related articles All 3 versions

Three-levels Approach for Arabic Question Answering Systems A Cheddadi – 2014 – users.dsic.upv.es Page 1. UNIVERSITE MOHAMMED V DE RABAT ECOLE MOHAMMADIA D’INGENIEURS THESE Présentée pour l’obtention du DOCTORAT EN SCIENCES Au DEPARTEMENT GENIE INFORMATIQUE EQUIPE : Réseaux et Systèmes Intelligents …

Retrieving questions and answers in community-based question answering services W KAI – 2010 – scholarbank.nus.sg Page 1. RETRIEVING QUESTIONS AND ANSWERS IN COMMUNITY-BASED QUESTION ANSWERING SERVICES KAI WANG (B.ENG, NANYANG TECHNOLOGICAL UNIVERSITY) A THESIS SUBMITTED FOR THE DEGREE OF DOCTOR OF PHILOSOPHY … Cited by 1 Related articles All 2 versions

Query Classification and Expansion in Just. Ask Question Answering System RMP Pires – 2012 – fenix.tecnico.ulisboa.pt Page 1. Query Classification and Expansion in Just.Ask Question Answering System Ricardo Miguel Pinheiro Pires Dissertation for obtaining the Master’s Degree in Information Systems and Computer Engineering Jury President … Cited by 1 Related articles All 2 versions

Bootstrapping named entity resources for adaptive question answering systems P Sánchez – 2010 – e-archivo.uc3m.es Page 1. Universidad Carlos III de Madrid Escuela Politecnica Superior Tesis Doctoral Departamento de Informática Bootstrapping Named Entity Resources for Adaptive Question Answering Systems Leganés, Julio de 2010 Autor: César de Pablo Sánchez … Related articles All 3 versions

Automated question triage for social reference: A study of adopting decision factors from digital reference J PARK – 2013 – d-scholarship.pitt.edu Page 1. i AUTOMATED QUESTION TRIAGE FOR SOCIAL REFERENCE: A STUDY OF ADOPTING DECISION FACTORS FROM DIGITAL REFERENCE by Jong Do Park BA, Chung-Ang University, 1996 MA, Chung-Ang University, 1998 Submitted to the Graduate Faculty of … Related articles All 2 versions

Named Entity Recognition in Questions: Towards a Golden Collection. AC Mendes, L Coheur, PV Lobo – LREC, 2010 – algos.inesc-id.pt … languages. Finally, we aim at using the created resource Page 7. in the question analysis module of an in-house Question- Answering system, and study how it can improve its per- formance. 7. Acknowledgments Ana Cristina … Cited by 2 Related articles All 8 versions

Frequently asked questions web pages automatic text summarization YM Shaalan – 2011 – dar.aucegypt.edu Page 1. The American University in Cairo School of Sciences and Engineering FREQUENTLY ASKED QUESTIONS WEB PAGES AUTOMATIC TEXT SUMMARIZATION A Thesis submitted to Department of Computer Science and Engineering … Related articles All 3 versions

Toponym disambiguation in information retrieval D Buscaldi – 2010 – riunet.upv.es … 104 6 Toponym Disambiguation in QA 105 6.1 The SemQUASAR QA System . . . . . 105 6.1.1 Question Analysis Module . . . . . 107 6.1.2 The Passage Retrieval Module . . . . . 108 … Cited by 8 Related articles All 15 versions

Toponym Disambiguation in Natural Language Processing D Buscaldi – 2010 – dsic.upv.es … 92 6 Toponym Disambiguation in QA 99 6.1 The SemQUASAR QA System . . . . . 99 6.1.1 Question Analysis Module . . . . . 99 6.1.2 The Passage Retrieval Module . . . . . 101 6.1.3 WordNet-based Indexing . … Related articles

Term Selection in Information Retrieval KT Maxwell – researchgate.net Page 1. Term Selection in Information Retrieval K. Tamsin Maxwell T H E UNIVERS I T Y O F E DI NBU R G H Doctor of Philosophy Institute for Communicating and Collaborative Systems School of Informatics University of Edinburgh 2014 Page 2. Page 3. Abstract …