... Dialogue Question AnswerDecomposition Question InformationExtractionRepresentationOff−line Question Answering Database (QUAB) Question AnswerFigure 1: FERRET - A Predictive Interactive Question- Answering Architecture.model, ... theoriginal question and the predicted questions.The selection of the questions from the QUABsthat are proposed for each user question is based ona similarity-metric that ranks the QUAB questions.To ... is based on question con-cepts rather than question terms. In order totranslate question terms into concepts, we re-placed (a) question stems (i.e. a WH-word +NP construction) with expected...
... June 2008.c2008 Association for Computational LinguisticsThe QuALiM QuestionAnswering Demo:Supplementing Answers with Paragraphs drawn from WikipediaMichael KaisserSchool of InformaticsUniversity ... demo of theQuALiM QuestionAnswering system. Whilethe system actually gets answers from the webby querying major search engines, during pre-sentation answers are supplemented with rel-evant ... theanswer–there always will be the odd case wherea system returns a wrong result.1for QuestionAnsweringwith Linguistic MethodsHistorically, our system is web-based, receivingits answers by...
... 2.4%.1 IntroductionIn QuestionAnswering the correct answer can beformulated with different but related words thanthe question. Connecting the words in the ques-tion with the words in the ... associated with the existing pat-terns from VerbNet. The algorithm is usedin an in-house QuestionAnswering sys-tem for re-ranking the set of candidate an-swers. Tests on factoid questions ... Lexicalchains for question answering. In Proceedings ofCOLING 2002, pages 674–680.Dan I. Moldovan and Vasile Rus. 2001. Logic FormTransformation of WordNet and its Applicability to Question Answering. ...
... tex-tual entailment analysis. Question- Type Classifier (QC): QC is the taskof identifying the type of a given question amonga predefined set of question types. The type ofa question is used as a clue ... question and turn into affirmativeform by replacing the wh-word with a place-holder and associating the question word with the question- type from the QC module. For example:720ing their entailment ... then with the usage of the local densityconstraints, the edge weights will not not only beaffected by that labeled node, but also how densethat node is within that part of the graph.5 Experiments We...
... prediction even with relatively simple per-sonalization models.Pers 1 (97 questions) Pers 2 (49 questions) Pers 3 (25 questions)UH total answers received Q avg pos votes Q content kl trecUH questions ... rating”want in” answer ”in the” in question CA avg asker rating”adenocarcinoma” in question CA History “anybody” in question ”was” in question ”who is” in question Q content typo density”live” ... predicting satisfaction ofaskers with varying number of questions20 previous questions. Interestingly, the simplestrategy of grouping users by number of previousquestions (ASP Group) is even...
... list of 20 questions for each language. Finally, we produced the Gold Standard, by labeling the corpus with the correct answers corresponding to the questions. 1.1 Questions No TYPE QUESTION ... containing NEs of the question Expected Answer Type (EAT). Table 2 presents the results ob-tained for English and Table 3 for Spanish. We indicate the id of the question (Q), the question type (T) ... annotate it or wrongfully an-notated words as being NEs. Not of less impor-tance is the question duality aspect in question 17. Bush is commented in more than 600 sen-tences; therefore, when polarity...
... for clinical question answering: Preliminaryresults. In AAAI 2005 Workshop on QA in RestrictedDomains.D. Demner-Fushman and J. Lin. 2006, in press. An-swering clinical questions with knowledge-basedand ... and Teach EBM.Churchill Livingstone, second edition.E. Voorhees. 2005. Using question series to eval-uate questionanswering system effectiveness. InHLT/EMNLP 2005.Y. Zhao and G. Karypis. 2002. ... hybrid approachto questionanswering in the clinicaldomain that combines techniques fromsummarization and information retrieval.We tackle a frequently-occurring class ofquestions that takes...
... pages488–495.Sanda M. Harabagiu, Marius A. Pas¸ca, and Steven J.Maiorano. 2000. Experimentswith open-domaintextual question answering. In Proceedings of the18th International Conference on ComputationalLinguistics, ... (and consequently word senses).In addition, we proposed a questionanswering sys-tem, which answers interrogative questions associated with what, by using a Web-based encyclopedia as aknowledge ... sen-tence that matched with one of those patterns can be aterm description.The second rule is based on HTML layout. In a typ-ical case, a term in question is highlighted as a heading with tags such...
... Scha, W.J, Schoenmakers and E.P.C. van Utteren. The QuestionAnswering System PHLIQA1. In L. Bolc (editor), Natural Language Question Answering Systems. Macmillan, 1980. [8] Scha, Remko J.H. ... mapping is a component of such question- answering systems as TEAM [4], PHLIQA1 [7] and IRUS [1]. As an example of difficulties which may be encountered, consider the question "Was the patient's ... PATIENT- WITH- DIABETIC-MOTHER. Since any concept can serve as a sort, the final simplification is: 244 A Terminological Simplification Transformation for Natural Language Question- Answering...
... knowledge and external resources forTREC-style question answering. In particular, wedescribe a high performance question answering system called QUALIFIER (QUestion Answer-ing by Lexical Fabric and ... and its Applicability to Question Answering. In Proceedings of the ACL2001 Conference, July 2001.M. A. Pasca and S. M. Harabagiu. 2001. High per-formance question/ answering. In Proceedings ... 2002. Probabilistic question answering from the web. In The Eleventh Interna-tional World Wide Web Conference,2002.E.M.Voorhees. 2002. Overview of the TREC 2001 Question Answering Track. In...
... the physician.Nonetheless, the patient's intimate acquaintance with the disease does notprovide him with deep knowledge of how the disease developed, how it willprogress, ... ratings, despite beingfamiliar with what it was like to rate her suitability for a job. In contrast, theresearchers, despite being unfamiliar with what it was like to rate ... doshowcase make a prize package. Enjoy!Please visit our website at: http://www.experimentswithpeople.comREFERENCESAronson, E., Wilson, T. D., & Brewer, M. B. (1998). Experimentation...
... ● Interfacing PIC Microcontrollers: Embedded Design by Interactive Simulation. ● Programming 8-bit PIC Microcontrollers in C: WithInteractive Hardware Simulation. It completes a set that ... and an ICD connector. With power supplied to the target, load the application project files. Select Debugger, Select Tool, MPLAB ICD2. The debug control panel appears with controls to run, step, ... modify the count period, the timer register can be preloaded with a given number. For example, if an 8-bit register is preloaded with the value 156, a time-out occurs after 256 Ϫ 156 ϭ 100...
... post. Only identifying question and answering sentences from the thread is not enoughfor automatic question answering. For this example,in order to get the complete question, we would needto ... online forums.1 IntroductionAutomatic QuestionAnswering (QA) systems relyheavily on good sources of data that contain ques-tions and answers. Questionanswering forums, suchas technical support ... Example of a QuestionAnswering Thread inUbuntu Support Forumexists as a result of another sentence. For example, question context sentences exist because of the ques-tion itself; an answering...
... bythe original question, the answer passage associ-ated with the top-ranked entailed question was re-turned as the answer. When none of the top 50AGQs were entailed by the question, question- answer ... Paragraphs Question DocumentsAnswersAnswers−M1Answers−M2Answers−M3 QUESTION ANSWERING SYSTEMFigure 1: Integrating Textual Entailment in Q/A.lows. Section 2 describes the three methods ofusing textual entailment in open-domain question answering ... Two Question Answering Systems in TREC 2005. InProceedings of the Fourteenth Text REtrieval Con-ference.Sanda Harabagiu, Andrew Hickl, John Lehmann, andDan Moldovan. 2005b. Experiments with...
... IntroductionThe conventional QuestionAnswering (QA) archi-tecture is a cascade of the following building blocks: Question Analyzer analyzes a question sentenceand identifies the question types (or answertypes).Document ... motivationto build a QA system only from question- answerpairs without depending on the question types. Theirmethod finds clusters of questions and defines howto answer questions in each cluster. However, ... TermExtraction withquestion features (TE+QF) signifi-cantly degraded, the performance of the QBTE (CF)did not severely degrade with the larger number ofretrieved paragraphs.219Table 1: Number of Questions...