... Papers (Companion Volume), pages 113–116,Columbus, Ohio, USA, June 2008.c2008 Association for Computational Linguistics Kernels onLinguisticStructuresforAnswer Extraction Alessandro Moschitti ... semantic kernels for question /answer classification. In ACL’07.A. Moschitti. 2006. Efficient convolution kernels for dependency and constituent syntactic trees. InECML’06.S. Quarteroni and S. ... questions and answers. This is the reasonwhy our kernelsonlinguisticstructures improve itby 63%, which is a remarkable result for an IR task(Allan, 2000).2 Kernelsfor Q/A ClassificationThe design...
... July 2006.c2006 Association for Computational LinguisticsExploring Correlation of Dependency Relation Paths for Answer Extraction Dan ShenDepartment of Computational LinguisticsSaarland UniversitySaarbruecken, ... sentences have a strong im-pact onanswer extraction. It is meaningless toevaluate the questions of which none candidatesentences contain proper answer in answer extrac-tion experiment. To ... correlation ofdependency relation paths to rank candi-date answers in answer extraction. Usingthe correlation measure, we compare de-pendency relations of a candidate answer and mapped question...
... SiljaHuttunen, 2000. Automatic Acquisition of Domain Knowl-edge for Information Extraction. In Proceedings of the18th International Conference on Computational Linguistics(COLING-2000): 940-946, ... limited. In contrast, the decision tree approachuses predicate lexical information only for 5% of thebranching decisions recorded when testing the roleassignment task, and only for 0.01% of ... also be considered. Based on theseobservations, we introduced in FS2 the CONTENTWORD (cw), which adds a new lexicalization fromthe argument constituent for better content repre-sentation. To...
... Further tests confirmedthat the evaluation results depend only minimally on the exact size of the extraction window.We have evaluated all six combinations of pre-processing and extraction methods. ... precision4 and recall5 for all combinations of pre-processing and extraction methods. On the hand-corrected tagging, adja-cent pairs yield the highest precision, but recall ismuch better for ... 1990. Wordassociation norms, mutual information, and lexicog-raphy. Computational Linguistics, 16(1):22-29.Beatrice Daille. 1994. Approche mixte pourl&apos ;extraction automatique de terminologie...
... combine two kernels. The fourth sec-tion details the experiments on a public benchmarkdataset. We close with a summary and conclu-sions.2 Kernelsfor Relation Extraction Relation extraction aims ... 1 shows F-values for three selected rela-tions and micro-averaged results for all 5 relations on the training and test set. In addition the F-scores for the three relations containing the mostinstances ... knowntree kernel approaches alone suggestingthat both types of trees contain comple-mentary information for relation extrac-tion.1 IntroductionThe same semantic relation between entities innatural...
... International Conference on Computational Linguistics and 44th Annual Meeting of the ACL, pages 841–848,Sydney, July 2006.c2006 Association for Computational Linguistics Answer Extraction, Semantic ... focuses on MEDLINE abstracts as thesource for answers.3 Question Answering ApproachConflicting desiderata shape the characteristics of“answers” to clinical questions. On the one hand,conciseness ... ofclinical medicine, lies at the intersection of ques-tion answering, information retrieval, and summa-rization. We employ answerextraction to identifyshort answers, semantic clustering to group...
... for entity and relation recognition. In19th International Conference on ComputationalLinguistics.Sam Scott and Stan Matwin. 1999. Feature engi-neering for text classification. In Proceedings ... Richardella. 2003.Kernel methods for relation extraction. Jour-nal of Machine Learning Research, pages 1083–1106. Dependency Tree Kernelsfor Relation Extraction Aron CulottaUniversity of MassachusettsAmherst, ... in-duction and selection (Scott and Matwin, 1999). For example, in entity detection the original in-stance representation is generally a word vector cor-responding to a sentence. Feature extraction...
... biochemical characterizations of the L9.2mutants were performed, including hydrolysis at differentmono- and divalent cation concentrations. The corres-ponding 5Â-truncation constructs were analyzed ... in B(hydrolysis conditions), and subsequent determination of corres-ponding rate constants (kobs). See legends to Fig. 2 for abbreviationsand experimental conditions.Fig. 6. The effect of ... schematicallypresented in Fig. 5B at hydrolysis conditions with different magnesiumconcentrations, but at 0 mMKCl. See legends to Fig. 2 for abbrevia-tions and experimental conditions.1022 P. Haugen et al. (Eur....
... (2001). Convolution Kernelsfor Nat-ural Language. In Proceedings of Neural Information Pro-cessing Systems (NIPS 14).Collins, M. (2002a). Ranking Algorithms for Named–Entity Extraction: Boosting ... representation, but using verydifferent algorithms and parameter estimation meth-ods from the perceptron algorithms in this paper (seesection 7 for more discussion).6.2 Named–Entity Extraction Over ... manypossibilities for . An obvious example for parsetrees is to have one component of for eachrule in a context-free grammar that underlies thetrees. This is the representation used by StochasticContext-Free...
... For describing the lowest point The number of students hit a trough/plunged to a trough of. 2000 For describing a fluctuation The number fluctuated between ... The number fluctuated between 1 and 3 The number fluctuated wildly around 1 and 4 Some words for describing “approximately” About/around/approximately/well over/roughly ...
... how often? Once a week once a month once a semester once a year 7. Please list the favorable conditions for teaching English: 8. Please list the unfavorable conditions for teaching ... presentation before asking students to repeat sentences. The teacher should predict beforehand what pronunciation problems the students will have and pay attention to their own pronunciation during ... guiding questions on the board: one guiding question for each main point in the listening text. Students think about the guiding questions.After the first listening they answer the questions.27...
... Techniques for correcting students’spoken errors 32 3.3.1. Introduction 32 3.3.2. Correction Techniques 343.3.3. Summary 36Part 3: Conclusion 1. Recapitulation 372. Limitations and suggestions for ... 2.6.2. Findings and discussion 9 2.6.2.1. Teachers Personal Information 9ã Age of teachers 9ã Teaching experience and training 9ã Qualifications 10 2.6.2.2. Information about Schools 10ã Access ... to resource at school 10ã Conditions that facilitate teaching 10ã Conditions that impede teaching 11 2.6.2.3. Students' Attitude 11ã Students' need for English 11ã Students'...
... The class observations were carried out in 3 stages: before the lesson, during the lesson and after the lesson.In before-lesson stage, the researcher focused on making contacts with the teacher ... solution to these problems. 3.4. ConclusionAs mentioned in this chapter, the researcher has collected information for the study from the three sources and discussed the results of the questionnaires, ... participation in communicative activities as well as to find out solutions to the problems.1.3.3. Constraints on learning to speak a foreign languageConstraints on learning to speak a foreign...
... important questions must be answered:1. Does the solution exist?2. Is it unique?3. Is it stable?30 computation operations so it is best to keep the processing on the GPU for as long as possible ... OpenMP specification came out in 1997 with support for Fortran, followed by C/C++ support in 1998. Version 2.0 was released in 2000 for Fortran and 2002 for C/C++. Version 3.0 was released ... common electrode arrays. A few electrode configurations are shown on Figure 19. Figure 19 Example surface electrode configurations [11].Different arrays have different depth of investigation,...