Notes:
The answer extraction module is a component of a dialog system that is responsible for extracting relevant information from a user’s input and using it to generate a response. This module typically receives the user’s input in the form of natural language text, along with any additional context or information that the system has about the user or the current conversation. The module then uses natural language processing techniques to analyze the input and identify the key concepts and entities mentioned in the user’s question or statement.
Once the relevant information has been extracted, the module uses this information to generate a response. This may involve looking up the answer in a database or knowledge base, or using rules or algorithms to generate a response based on the extracted information. The generated response is then passed to the natural language generation module, which converts it into a form that is suitable for output to the user.
Overall, the function of the answer extraction module is to help the dialog system understand the user’s input and provide a relevant and useful response. This can help improve the overall conversational ability of the system and make the interaction more natural and engaging for the user.
See also:
Formalized answer extraction technology based on pattern learning L Peng, T Wen-Da, Z Wei… – … Technology (IFOST), 2010 …, 2010 – ieeexplore.ieee.org … current field of natural language processing. The difference between QA system and the traditional text retrieval lies in the answer extraction module, which realizes the accurate answer extraction. The answer extraction on the … Related articles
UAIC participation at QA@ CLEF2008 [PDF] from clef-campaign.orgA Iftene, D Trandabat, I Pistol, AM Moruz… – Evaluating Systems for …, 2009 – Springer … 1 “Al. I. Cuza” University. 2 Part-Of-Speech. 3 Named Entities. Page 2. 386 A. Iftene et al. The last main improvement was in the answer extraction module, where we tried to build very specific patterns in order to identify the final answer. … Cited by 8 – Related articles – All 6 versions
Question answering on English and Romanian languages [PDF] from uaic.roA Iftene, D Trandabat, A Moruz, I Pistol… – … Access Evaluation I. …, 2011 – Springer … 2.4 Answer Extraction In the 2009 year’s track, we used the FACTOID question answer extraction module of the last year system, which was refined by including sub-types (person, organiza- tion, count, measure, temporal, etc.). … Cited by 3 – Related articles – All 6 versions
A framework of evaluation for question-answering systems [PDF] from limsi.frS El Ayari… – Advances in Information Retrieval, 2009 – Springer … definition of a focus. Nevertheless, we can see that the system has problems dealing with the recognition of focus in the answer extraction module : it failed to extract it correctly more than half of the time. Studying the presence … Cited by 1 – Related articles – All 5 versions
Research of passage retrieval for question answering system [PDF] from 144.214.124.123X Li – 2010 – 144.214.124.123 … systems. The passage retrieval module is usually added as an intermediate stage between the document retrieval module and answer extraction module. It can facilitate quick answer extraction and improve the efficiency of answer finding by users. … Related articles – Library Search – All 2 versions
Domain ontology based automatic question answering J Fu, J Xu… – Computer Engineering and Technology, …, 2009 – ieeexplore.ieee.org … QSR (Question Semantic Representation) method is adopted in question analyze, the purpose of the method is extracted semantic information in the question, QSR is the formal representation of the semantic information, it can very helpful to answer extraction module [6]. For … Cited by 10 – Related articles – All 3 versions
On interface compatibility and mediation of Web services B Lin – 2010 – 144.214.124.123 … The passage retrieval module is usually added as an intermediate stage between the document retrieval module and answer extraction module. It can facilitate quick answer extraction and improve the efficiency of answer finding by users. … Cached – All 2 versions
Answering Questions with an n-gram based Passage Retrieval Engine [PDF] from ua.esD Buscaldi, P Rosso, JM Gómez-Soriano… – Journal of Intelligent …, 2010 – Springer … question formulated to a system. Its main goals are to allow the answer extraction module to apply a different Answer Extraction (AE) strategy for each question type and to restrict the candidate answers. For example, extracting the … Cited by 14 – Related articles – All 6 versions
RACAI’s QA System at the Romanian-Romanian QA@ CLEF2008 Main Task R Ion, D Stefanescu, A Ceausu… – Evaluating Systems for …, 2009 – Springer … The main differences reside in an improved query formulation module and a completely redesigned answer extraction module which uses the results of a snippet selection and ranking component which did not exist in the 2007 version of the system. … Cited by 1 – Related articles – All 3 versions
An Arabic Question-Answering system for factoid questions W Brini, M Ellouze, S Mesfar… – … Engineering, 2009. NLP …, 2009 – ieeexplore.ieee.org … The proposed system is composed of three modules: A question analysis module, a passage retrieval module and an answer extraction module. To process these three modules we use the NooJ Platform which represents a linguistic development environment. … Cited by 3 – Related articles – All 2 versions
Study on question-answering system based on Meta search engine F Li, H Kang, Y Zhang… – Computer Application and …, 2010 – ieeexplore.ieee.org … A. Question processing Synonym library 8 Given the user’s question, the system should process the question firstly which would have an important influence on information retrieval and answer extraction module. The 978-1-4244-7237-6/10/$26.00 mOIO IEEE V3-354 Page 2. … Related articles
Research on the Question Answering System in Chinese Based on Knowledge Represent of Conceptual Graphs P Liu, L Li… – Applied Informatics and Communication, 2011 – Springer … For making the language naturally, the optimizing program turns the natural language more excellently. The answer extraction module is showed in figure 4. Fig. 2. The question analysis module Page 6. 210 P. Liu, L. Li, and Z. Li Fig. 3. The information search module … Related articles
[PDF] Finding the Right Stuff & Offering Help: Supporting the e-learner [PDF] from fernuni-hagen.deC Bowerman, M Stamoulos… – Fourth Colloquium on …, 2009 – deposit.fernuni-hagen.de … This cluster of documents are then passed to the answer extraction module which extracts sentences that will constitute an answer. Two different types of techniques are used: word based (such as TF-IDF) and sentence based (such as text rank). … Related articles – View as HTML
Using Dependency Parsing and Machine Learning for Factoid Question Answering on Spoken Documents PR Comas, J Turmo… – Eleventh Annual Conference of …, 2010 – isca-speech.org … swer extraction. The answer extraction module uses a chunker and a rule-based system for identifying relations between chunks, then candidates are scored according to edit distance with respect to the question. Many works … Cited by 2 – Related articles
Online Learning of Bayes Risk-Based Optimization of Dialogue Management for Document Retrieval Systems with Speech Interface [PDF] from newbooks-services.deT Misu, K Sugiura, T Kawahara, K Ohtake… – … Technology and Design, 2011 – Springer … A QA system typically consists of a question classifier module that determines the type of question and an answer extraction module that generates answer candidates from the KB and selects the most appropriate candidates using some scoring function (Ravichandran and … Related articles – All 4 versions
A Vietnamese question answering system [PDF] from vnu.edu.vnDQ Nguyen, SB Pham – Knowledge and Systems …, 2009 – ieeexplore.ieee.org … or an instance. With the ontology-tuple, the Answer Extraction module find all individuals of the corresponding ontology concept of term1, having the ontology relation with the individual corresponding to term2. Depending on … Cited by 1 – Related articles – All 10 versions
[PDF] The limsi participation to the qast 2009 track [PDF] from quaero.orgG Bernard, S Rosset, O Galibert, E Bilinski… – Working Notes for the …, 2009 – quaero.org … by the Page 4. answer extraction module, and the best snippets associated to each answer. The analysis trees of the question and the snippets are segmented into chunks, and relations are added between these chunks. For … Cited by 2 – Related articles – View as HTML – All 4 versions
Combining semantic information in question answering systems P Moreda, H Llorens, E Saquete… – Information Processing & …, 2011 – Elsevier … Available online 22 April 2010. Abstract. This paper presents two proposals based on semantic information, semantic roles and WordNet, for the answer extraction module of a general open-domain question answering (QA) system. … Cited by 1 – Related articles – All 2 versions
The answer validation system ProdicosAV dedicated to French C Jacquin, L Monceaux… – Evaluating Systems for …, 2009 – Springer … list. It is determined according to the number and the category of the question features which are found in passages. – answer extraction module: it extracts the candidate answers from passages and ranks them. The question … Cited by 2 – Related articles – All 3 versions
Processing comparisons and evaluations in business intelligence: A question answering system K Choi, RM Pacana, AL Tan… – Uncertainty Reasoning …, 2011 – ieeexplore.ieee.org … constituency trees parser, and a question processor. The Answer Extraction Module transforms the question representation into a series of database queries that cover retrieval and computation. The Presentation Module accepts the list … Related articles
Ihardetsi: a Basque question answering system at QA@ CLEF 2008 [PDF] from clef-campaign.orgO Ansa, X Arregi, A Otegi… – Evaluating Systems for …, 2009 – Springer … Concretely, search terms are extracted for the passage retrieval module, and both the question type (factoid, list or definition) and the expected answer type along with some lexical information are passed to the answer extraction module. … Cited by 5 – Related articles – All 6 versions
Bayes risk-based dialogue management for document retrieval system with speech interface [PDF] from aclweb.orgT Misu… – Speech Communication, 2010 – Elsevier … A QA system typically consists of a question classifier module that determines the type of question and an answer extraction module that generates answer candidates from the KB and selects the most appropriate candidates using some scoring function ([Ravichandran and … Cited by 4 – Related articles – All 20 versions
Chinese question answering system based on question classification and similarity G Dongwei, J Chenhui, L Miao… – … and Technology (ICIST …, 2011 – ieeexplore.ieee.org … Information retrieval module will submit key word from problem analysis module to the search engine, and then give searching web pages and documents to the answer extraction module. Answer extraction module is the key … Related articles
The MIRACLE team at the CLEF 2008 multilingual question answering track [PDF] from clef-campaign.orgÁ Martínez-González, C de Pablo-Sánchez… – Evaluating Systems for …, 2009 – Springer … different from CLEF evaluators. The second row represents the results with time expression analysis applied both on the Lucene index and in the rules of the Answer Extraction module, as explained in section 2.3. It shows a … Cited by 4 – Related articles – All 7 versions
A survey of text mining techniques and applications [PDF] from academypublisher.comV Gupta… – Journal of Emerging Technologies in …, 2009 – academypublisher.com … The main objective of question analysis module is to derive the expected answer type from the question text. This is a crucial step of the processing since the Answer Extraction module uses a different strategy depending on the expected answer type. … Cited by 18 – Related articles – All 14 versions
Question Answering Using Statistical Language Modelling MH Heie, EWD Whittaker… – Computer Speech & Language, 2011 – Elsevier
The University of Amsterdam at the TAC 2008 Question Answering track V Jijkoun… – Text Analysis Conference: TAC 2008 …, 2009 – en.scientificcommons.org … Answering track of the TAC 2008. We used a simple system based on lexicon-based identification of opinionated sentences and the answer extraction module of our factual question answering system. The results indicate that filtering … Cached – All 4 versions
Ihardetsi: A Question Answering system for Basque built on reused linguistic processors I Alegria, O Ansa, X Arregi, A Otegi… – Proc. SALTMIL 2009 …, 2009 – isca-speech.org … These descriptors constitute the documentation support of the system. As it is common in the question answering systems Ihardetsi is founded on three main modules: the question analysis module, the passage retrieval module and the answer extraction module. … Cited by 1 – Related articles – All 3 versions
Intelligent answering location questions from the web using molecular alignment A Figueroa… – Journal of Intelligent Information Systems, 2010 – Springer … Finally, an answer extraction module looks for further clues in the text to determine if the answer candidate can indeed answer the question. … 2. An answer extraction module which gets answers from relevant documents and/or snippets. … Related articles – All 5 versions
Semantic Retrieval Approach to Factoid Question Answering for Bulgarian [PDF] from uni-sofia.bgS Peshterliev… – Third International Conference on Software, …, 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 4 versions
CINDI: a digital library for academics R Chen, A Perez, K Dutta… – Proceedings of the 2nd Canadian …, 2009 – dl.acm.org … For example, if the question is “Who did create CINDI?” the filter returns text that contain names of people. ? Finally, an Answer Extraction module looks for further clues in the text to determine whether the candidate answer can indeed answer the question. … Cited by 1 – Related articles
Linguistic kernels for answer re-ranking in question answering systems [PDF] from unitn.itA Moschitti… – Information Processing & Management, 2010 – Elsevier Cited by 11 – Related articles – All 8 versions
Idsay: Question answering for portuguese [PDF] from clef-campaign.orgG Carvalho, D de Matos… – Evaluating Systems for Multilingual …, 2009 – Springer … The passages are then sent to the answer extraction module, where short segments of text (candidate answers) are produced that are then passed on to the answer validation module. This module validates answers and returns the most relevant ones. … Cited by 3 – Related articles – All 9 versions
A supervised learning approach to biological question answering [PDF] from ntu.edu.twRTK Lin, JLT Chiu, HJ Dai, RTH Tsai… – Integrated Computer- …, 2009 – IOS Press … improve recall. 3.1.2. Passage retrieval The passage retrieval module is a Google-interfacing program that sends queries to Google and retrieves a collection of web pages, which are sent to the answer extraction module. In the … Cited by 4 – Related articles – All 7 versions
IBQAst: a question answering system for text transcriptions M Pardiño, J Gómez, H Llorens… – Evaluating Systems for …, 2009 – Springer … 41, pp. 55-62 (2008) 2. Moreda, P., Llorens, H., Saquete, E., Palomar, M.: Automatic generalization of a QA answer extraction module based on semantic roles. In: Geffner, H., Prada, R., Machado Alexandre, I., David, N. (eds.) IBERAMIA 2008. LNCS (LNAI), vol. 5290, pp. … Cited by 1 – Related articles – All 2 versions
Mt error detection for cross-lingual question answering [PDF] from 59.108.48.12K Parton… – … of the 23rd International Conference on …, 2010 – dl.acm.org … Then the merged set of original and re- translated relevant sentences are passed to the 950 Page 6. answer extraction module. By doing retranslation before answer extrac- tion, the algorithm has the potential to improve precision and recall. … Cited by 3 – Related articles – All 11 versions
Can Esculape cure the complex of œdipe in the medical domain? M Embarek… – Adaptivity, Personalization and Fusion of …, 2010 – dl.acm.org … The loss of possible answers after pas- sage extraction is less important as 59% of questions still can be answered at this stage. The specific answer extraction module of Esculape finally finds full or partial answers for 38% of questions. … Cited by 1 – Related articles
Semantic information integration and question answering based on pervasive agent ontology [PDF] from grids.cnQ Guo… – Expert Systems with Applications, 2009 – Elsevier … pervasive agent ontology 3. Concept extraction based on uniform semantic term mining 4. Intelligent searching for documents on the semantic web 5. The flexible enquiry on ontology and enquiry rewriting in SWPAO method 6. The design of answer extraction module via typical … Cited by 8 – Related articles – All 5 versions
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 … is the pancreas located? [stomach]”). Some studies on the application of SR to QA21,22 and more specifically to the answer extraction module can be found in the literature23-27. Text Summarization. The goal of automatic TS … Cited by 1 – Related articles
Context-Aware Restricted Geographical Domain Question Answering System A Mishra, N Mishra… – … and Communication Networks …, 2010 – ieeexplore.ieee.org … We do not care about the quality of the response generated by the data retrieval phase as the entire result produced by this module will not be directly shown to the user but it will be further utilized in answer extraction module for generating final answer to user. … Related articles – All 3 versions
Question answering based on pervasive agent ontology and Semantic Web Q Guo… – Knowledge-Based Systems, 2009 – Elsevier … Answer extraction module including: document retrieval, passage retrieval and answer matching. System provides a varying method to calculate weight and sort the answer by the weight. Finally, the answer been restricted within 50 words long and returned to user. … Cited by 7 – Related articles – All 3 versions
Pragmatic analysis based query expansion for Chinese cuisine QA service system L Xia… – … and Knowledge Engineering (NLP-KE), 2010 …, 2010 – ieeexplore.ieee.org … Moreover, although the returned passage is in cooking scenario, we sometimes cannot extract the complete answer from it. Therefore, to work effectively in answer extraction module, we need confine more returned results to cooking scenario[12-16]. 3.3. … Related articles
[PDF] A Comparative Study of Open Domain and Opinion Question Answering Systems for Factual and Opinionated Queries [PDF] from aclweb.orgA Balahur, E Boldrini, A Montoyo… – Proceedings of the …, 2009 – aclweb.org … In Proceedings of the SEPLN. MAdris, Spain, pages 55-62, 2008. [15] P. Moreda, H. Llorens, E. Saquete, M. Palomar. Automatic Generalization of a QA Answer Extraction Module Based on Semantic Roles. In: AAI – IBERAMIA, Lisbon, Portugal, pages 233- 242, Springer, 2008. … Cited by 2 – Related articles – View as HTML – All 14 versions
[PDF] A Comprehensive Resource to Evaluate Complex Open Domain Question Answering [PDF] from unitn.itS Quarteroni… – Proceedings of the seventh conference …, 2010 – sisl.disi.unitn.it … In particular, based on the outcome of the question classifier, the answer extraction module determines whether the expected answer type belongs to the factoid group (in YourQA, the following factoids are defined: person, organization, location, quantity and time) or not. … Cited by 2 – Related articles – View as HTML – All 9 versions
[PDF] Question Answering What does this question ask for? Experiments on Expected Answer Type recognition [PDF] from loria.frLH Perez – 2009 – loria.fr … Subsequently a filter preselects small text fragments that contain strings of the same type as the expected answer. Finally, an answer extraction module looks for further clues in the text to determine if the answer candidate can indeed answer the question. … Related articles – View as HTML
Towards the definition of requirements for mixed fact and opinion question answering systems A Balahur, E Boldrini, A Montoyo… – Proceeding of the 1st …, 2009 – dl.acm.org … Finally, the Answer Extraction module selects the potential answers using a NE recognizer for each retrieved document. Freeling has been used. … Automatic Generalization of a QA Answer Extraction Module Based on Semantic Roles. … Related articles
Exploiting wikipedia and eurowordnet to solve cross-lingual question answering S Ferrández, A Toral, Ó Ferrández, A Ferrández… – Information …, 2009 – Elsevier Cited by 5 – Related articles – All 4 versions
Enhancing QA systems with complex temporal question processing capabilities [PDF] from jair.orgE Saquete, JL Vicedo… – Journal of Artificial …, 2009 – aaai.org Page 1. Journal of Artificial Intelligence Research 35 (2009) 775-811 Submitted 03/09; published 08/09 Enhancing QA Systems with Complex Temporal Question Processing Capabilities Estela Saquete stela@dlsi.ua.es Jose L. Vicedo vicedo@dlsi.ua.es Patricio Martinez-Barco … Cited by 7 – Related articles – All 11 versions
Graph-Based Answer Passage Ranking for Question Answering X Li… – Computational Intelligence and Security (CIS), …, 2010 – ieeexplore.ieee.org … return precise answer but not a list of documents. Passage retrieval is performed as an intermediate stage between the document retrieval module and answer extraction module. It has played an important role in question answering … Related articles – All 3 versions
[PDF] Exploiting social q&a collection in answering complex questions [PDF] from aclweb.orgY Wu… – Proceedings of the Joint Conference on Chinese …, 2010 – aclweb.org … (3) Building a question- type-specific classifier by employing the cue expressions and the collected Q&A pairs, which removes noise sentences from answer candidates before using the Answer Extraction module. 3.1 Collecting Q&A Pairs … Cited by 1 – Related articles – View as HTML – All 6 versions
[PDF] Using the Yago ontology as a resource for the enrichment of Named Entities in Arabic WordNet [PDF] from emi.ac.maL Abouenour, K Bouzoubaa… – Workshop on Language …, 2010 – emi.ac.ma … 12 http://code.google.com/p/google-api-translate-java/ Page 4. structure which can be easy to process by the answer extraction module. In order to enrich the NE content in AWN, we have adopted an approach composed of seven steps. Figure 1 below illustrates these steps. … Cited by 2 – Related articles – View as HTML – All 5 versions
Studying Syntactic Analysis in a QA System: FIDJI@ ResPubliQA’09 X Tannier… – Multilingual Information Access Evaluation I. Text …, 2011 – Springer … the following specificities: – Specific guidelines: the final answer is an entire paragraph instead of a fo- cused short answer. The answer extraction module becomes then naturally less useful. – Specific domain and questions … Related articles – All 2 versions
An experiment about using copulative and comparative sentences as constraining relations A Soto, JA Olivas, FP Romero… – … Systems Design and …, 2009 – ieeexplore.ieee.org … Finally, the answer extraction module analyze, considers the selected passages and the expected answer type as well as further statistical or syntactic aspects to locate the text strings that will represent the answer to the question. … Cited by 1 – Related articles – All 3 versions
A proposal of Expected Answer Type and Named Entity annotation in a Question Answering context [PDF] from ua.esE Boldrini, S Ferrández, R Izquierdo… – … , 2009. HSI’09. 2nd …, 2009 – ieeexplore.ieee.org … Given the example, “In which year did Einstein win the Physics Nobel Prize?” the EAT corresponding to this query would be “DATE_YEAR” and its correct classification would be of great help for the answer extraction module. … Cited by 1 – Related articles – All 3 versions
A novel approach for agent ontology and its application in question answering [PDF] from zndxzk.com.cnQ Guo – Journal of Central South University of Technology, 2009 – Springer … 4 Answer extraction based on agent ontology After analyzing the questions presented by users, some entities and their attributes or entity-entity pair will be received, and these results will be submitted to answer extraction module. … Related articles – All 8 versions
Why text segment classification based on part of speech feature selection [PDF] from kobe-u.ac.jpI Nagy, K Tanaka… – Discovery Science, 2010 – Springer … By applying this classifier in a preprocessing step we should be able to reduce the amount of data to analyze, by eliminating all text segment not answering a why question, and therefore facilitate the work of the answer extraction module of the QA system. … Related articles – All 6 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 … Related articles – All 3 versions
Generalized Quantifiers and Natural Language A Badia – Quantifiers in Action, 2009 – Springer … document). 4. an answer extraction module, which works on the documents selected by the previous node by focusing on selected parts of the document and trying to extract an answer to the original question. Most systems …
Opinion and Generic Question Answering systems: a performance analysis [PDF] from jrc.itA Balahur, E Boldrini, A Montoyo… – Proceedings of the ACL- …, 2009 – dl.acm.org … In Proceedings of HLT/EMNLP. 2005. Paloma Moreda, Hector Llorens, Estela Saquete, Manuel Palomar. 2008. Automatic Generalization of a QA Answer Extraction Module Based on Se- mantic Roles. In: AAI – IBERAMIA, Lisbon, Portu- gal, pages 233-242, Springer. Janyce. … Cited by 11 – Related articles – All 19 versions
[PDF] Ripple Down Rules for Question Analysis [PDF] from vilangtek.comNQ Dat – 2011 – vilangtek.com Page 1. Ripple Down Rules for Question Analysis Nguyen Quoc Dat Faculty of Information Technology University of Engineering and Technology Vietnam National University, Hanoi Supervised by Dr. Pham Bao Son A thesis submitted in fulfillment of the requirements … Related articles – View as HTML
[PDF] Research of Passage Retrieval for Question Answering System [PDF] from cityu.edu.hk??????????????? – 2010 – lbms03.cityu.edu.hk … systems. The passage retrieval module is usually added as an intermediate stage between the document retrieval module and answer extraction module. It can facilitate quick answer extraction and improve the efficiency of answer finding by users. … View as HTML
[PDF] Open Domain Factoid Question Answering System [PDF] from aptnk.inA Patanaik – 2009 – aptnk.in … For example, if the question is “Who invented Penicillin” the filter returns text that contain names of people. Finally, an answer extraction module looks for further clues in the text to determine if the answer candidate can indeed answer the question. … Related articles – View as HTML
Recommending best answer in a collaborative question answering system [PDF] from qut.edu.auL Chen – 2009 – eprints.qut.edu.au Page 1. RECOMMENDING BEST ANSWER IN A COLLABORATIVE QUESTION ANSWERING SYSTEM Mrs Lin Chen Submitted in fulfilment of the requirements for the degree of Master of Information Technology (Research) School of Information Technology … Related articles – Library Search – All 3 versions
Temporal Expression Identification Based on Semantic Roles H Llorens, E Saquete… – Natural Language Processing and …, 2010 – Springer … 4795, pp. 41-58. Springer, Heidelberg (2007) 21. Moreda, P., Llorens, H., Saquete, E., Palomar, M.: Automatic Generalization of a QA Answer Extraction Module Based on Semantic Roles. In: Geffner, H., Prada, R., Machado Alexandre, I., David, N. (eds.) IBERAMIA 2008. … Cited by 1 – Related articles
Temporal Expression Identi?cation Based on Semantic Roles? H Llorens, E Saquete… – … Language Processing and …, 2010 – books.google.com … 4795, pp. 41-58. Springer, Heidelberg (2007) 21. Moreda, P., Llorens, H., Saquete, E., Palomar, M.: Automatic Generalization of a QA Answer Extraction Module Based on Semantic Roles. In: Ge?ner, H., Prada, R., Machado Alexandre, I., David, N.(eds.) IBERAMIA 2008. … Related articles
Improving effectiveness of dialogue in learning communities: a thesis presented in partial fulfilment of the requirements for the degree of Ph. D. in Information Systems … [PDF] from massey.ac.nzJ Yang – 2009 – mro.massey.ac.nz Page 1. Copyright is owned by the Author of the thesis. Permission is given for a copy to be downloaded by an individual for the purpose of research and private study only. The thesis may not be reproduced elsewhere without the permission of the Author. Page 2. … Related articles – All 2 versions
Toponym Disambiguation in Information Retrieval [PDF] from upv.esD Buscaldi – 2010 – riunet.upv.es Page 1. Toponym Disambiguation in Information Retrieval Davide Buscaldi Dpto. Sistemas Informáticos y Computación Universidad Politécnica de Valencia A thesis submitted for the degree of PhilosophiæDoctor (PhD) Under the supervision of Dr. Paolo Rosso 2010 October … Cited by 3 – Related articles – All 17 versions
[PDF] SEARCHING A WEBSITE VIA SPOKEN QUESTIONS [PDF] from boun.edu.trM Durukal – 2011 – busim.ee.boun.edu.tr … If none of them meets these conditions, the system returns an empty answer. They suggest that the system can give better results by improving the query formulation module and the answer extraction module by using statistical approaches and observations. … Related articles – View as HTML
[PDF] Using Linguistically Motivated Features in Document Retrieval for Question Answering [PDF] from psu.eduLAS Pizzato – 2009 – Citeseer Page 1. Using Linguistically Motivated Features in Document Retrieval for Question Answering Luiz Augusto Sangoi Pizzato M.Sc., B.CompSc. This thesis is presented for the degree of Doctor of Philosophy Department of Computing Faculty of Science Macquarie University … Related articles – View as HTML – All 8 versions
Arabic named entity recognition [PDF] from upv.esY Benajiba – 2009 – dspace.cc.upv.es Page 1. Universidad Politécnica de Valencia Departamento de Sistemas Informáticos y Computación Reconocimiento de Formas e Inteligencia Artificial Arabic Named Entity Recognition The accepted dissertation of Yassine Benajiba in partial fulfillment of the requirements … Cited by 2 – Related articles – All 14 versions
[PDF] Advances on Semantic Web and New Technologies [PDF] from ceur-ws.orgMJS García… – 2009 – ceur-ws.org Page 1. Advances on Semantic Web and New Technologies March, 2009 Editors: Dra. María Josefa Somodevilla García Dr. David Eduardo Pinto Avendaño Page 2. The Workshop on Semantic Web and New Technologies was held by second time at the Faculty of … Related articles – View as HTML
[PDF] QA+ ML@ Wikipedia&Google [PDF] from utl.ptJPCG Silva – 2009 – dspace.ist.utl.pt Page 1. QA+ML@Wikipedia&Google Jo˜ao Pedro Carlos Gomes Silva Dissertaç ˜ao para obtenç ˜ao do Grau de Mestre em Engenharia Informática e de Computadores J ´uri Presidente: Doutora Ana Maria Severino de Almeida … Cited by 1 – Related articles – View as HTML – All 3 versions
[PDF] Toponym Disambiguation in Natural Language Processing [PDF] from upv.esD Buscaldi – 2010 – dsic.upv.es Page 1. Toponym Disambiguation in Natural Language Processing Davide Buscaldi Dpto. Sistemas Informáticos y Computación Universidad Politécnica de Valencia A thesis submitted for the degree of PhilosophiæDoctor (PhD) Under the supervision of Dr. Paolo Rosso … Related articles – View as HTML
Bootstrapping named entity resources for adaptive question answering systems [PDF] from uc3m.esP 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 7 versions
Language modeling approaches to question answering [PDF] from drexel.eduP Banerjee – 2009 – dspace.library.drexel.edu Page 1. Language Modeling Approaches to Question Answering A Dissertation Submitted to the Faculty of Drexel University by Protima Banerjee in partial fulfillment of the requirements for the degree of Doctor of Philosophy July 2009 Page 2. … Cited by 1 – Related articles – Library Search – All 11 versions
Topic indexing and retrieval for open domain factoid question answering [PDF] from ed.ac.ukK Ahn – 2009 – era.lib.ed.ac.uk Page 1. Topic Indexing and Retrieval for Open Domain Factoid Question Answering Kisuh Ahn T H E U NIVER S 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 2009 Page 2. … Related articles – All 2 versions
[BOOK] Spoken dialogue systems technology and design W Minker, GG Lee, S Nakamura… – 2010 – books.google.com Page 1. Wolfgang Minker Gary Geunbae Lee Satoshi Nakamura Joseph Mariani Editors Spoken Dialogue Systems Technology and Design Springer Page 2. Spoken Dialogue Systems Technology and Design Page 3. Editors … Cited by 3 – Related articles – Library Search – All 2 versions
[PDF] ??????????????? [PDF] from ia.ac.cn???, ???, ??, ???… – ?????????????? …, 2009 – nlpr.ia.ac.cn … semantic. We describe how to leverage the domain specific semantic in the data preprocessing module, question processing module and answer extraction module to enhance the performance of question answering system. … Related articles – View as HTML – All 3 versions
Experiencia Mexicana en la Búsqueda de Respuestas en Español [PDF] from unam.mxA LÓPEZ LÓPEZ, M MONTES Y GÓMEZ… – Computación y …, 2009 – ojs.unam.mx … Finally, the answer extraction module uses the subset of passages obtained by the previous module and the expected answer type identified in the first one, to locate the exact text string representing the answer to a given question. … All 8 versions
[PDF] In Search of the Why [PDF] from ru.nlS Verberne – 2010 – lands.let.ru.nl … In Chapter 3 we investigate the value of annotations on the discourse level for the ex- traction of answers. We implement an answer extraction module that uses manual annotations of the RST Treebank for extracting answer passages from the documents. … Cited by 1 – Related articles – View as HTML – All 4 versions
Acquiring syntactic and semantic transformations in question answering [PDF] from ed.ac.ukM Kaisser – 2010 – era.lib.ed.ac.uk Page 1. Acquiring Syntactic and Semantic Transformations in Question Answering Michael Kaisser T H E U NIVER S 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 2010 … Cited by 1 – Related articles – All 4 versions
[PDF] Aplicación de los Roles Semánticos en la identificación de Expresiones Temporales [PDF] from ujaen.esH Llorens, E Saquete… – Actas de las ponencias, 2009 – ararat.ujaen.es … Computational Linguistics, 28 (3): 245-288, 2002. 2. P. Moreda, H. Llorens, E. Saquete, and M. Palomar. Automatic generalization of a qa answer extraction module based on semantic roles. In AAI-IBERAMIA, volume 5290 of LNAI, LNCS, pages 233-242. Springer, 2008. … Related articles – View as HTML – All 4 versions
Is question answering fit for the semantic web?: a survey V Lopez, V Uren, M Sabou… – Semantic Web, 2011 – IOS Press … consulting a reposito- ry of documents (TREC): (1) a query formulation mechanism that translates the NL queries into the required IR queries, (2) a search engine over the Web, instead of an IR engine searching the documents, and (3) the answer extraction module that extracts … Cited by 1 – Related articles – All 2 versions
[PDF] Natural Language Interfaces to Conceptual Models [PDF] from gate.ac.ukDD Damljanovic – 2011 – gate.ac.uk Page 1. Danica D. Damljanovic Natural Language Interfaces to Conceptual Models Submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy at The University of Sheffield Department of Computer Science July 2011 Page 2. Page 3. Abstract … Related articles – View as HTML – All 3 versions