Computer Science ›› 2017, Vol. 44 ›› Issue (8): 1-8.doi: 10.11896/j.issn.1002-137X.2017.08.001
WANG Dong-sheng, WANG Wei-min, WANG Shi, FU Jian-hui and ZHU Feng
| [1] WOODS W A.Conceptual indexing:A better way to organizeknowledge:Technical Report SMLI TR-97-61[R].Sun Microsystems,Inc.,1997. [2] GREEN J,BERT F,et al.Baseball:an automatic question-answerer[C]∥Proceedings Western Computing Conference,1961.ACM,1961:219-224. [3] FERRUCCI D,BROWN E,CHU-CARROLL J,et al.BuildingWatson:An overview of the Deep QA project[J].AI Magazine,2010,31(3):59-79. [4] FRASER N,DALSGAARD P.Spoken Dialogue System:A European Perspective[C]∥Proc.Int’l Symp.Spoken Dialogue.1996:25-36. [5] 宗成庆.统计自然语言处理[M].北京:清华大学出版社,2008. [6] WILENSKY R,CHIN D N,LURIA M,et al.The BerkeleyUnix Consultant project[J].Computational Linguistics,1994,14(4):35-84. [7] CARPENTER B,CHU-CARROLL J.Natural language call routing:A robust,self-organized approach[C]∥Proc.Int.Conf.Spoken Language Proc..1998:2059-2062. [8] BRILL E,LIN J J,BANKO M,et al.Data-Intensive Question Answering[C]∥TREC.2001:90. [9] MOLL D,VICEDO J L.Question answering in restricted domains:An overview[J].Computational Linguistics,2007,33(1):41-61. [10] MOLDOVAN D,RUS V.Logic Form Transformation of WordNet and its Applicability to Question Answering[C]∥Procee-dings of 37th Meeting of Association of Computational Linguistics (ACL’2001).2001. [11] ADROUTSOPOULOS I,RITCHIE G D,T HANISCH P.Natural Language Interfaces to Databases:An Introduction[J].Journal of Natural Language Engineering,1995,1(1):29-81. [12] UNOLD O,DABROWSKI G.Use of learning classifier system for inferring natural language grammar[M]∥Learning Classi-fier Systems.Springer Berlin Heidelberg,2007:17-24. [13] KOZAREVA Z,HOVY E.Tailoring the automated construction of large-scale taxonomies using the Web[J].Language Resources and Evaluation,2013,47(3):859-890. [14] ZETTLEMOYER L S,COLLINS M.Learning to map sentences to logical form:Structured classification with probabilistic categorial grammars[C]∥ Proceedings of the 21st Conference on Uncertainty in AI.2005:658-666. [15] ANDRENUCCI A,SNEIDERS E.Automated Question Ans-wering:Review of the Main Approaches[C]∥ICITA (1).2005:514-519. [16] BINOT J L,et al.Natural language interfaces:a new philosophy[J].Sun Expert Magazine,1991. [17] OTT N.Aspects of the Automatic Generation of SQL state-ments in a Natural Language Query Interface[J].Information Systems,1992,17(2):147-159. [18] MOLLA D,et al.NLP for Answer Extraction in Technical Domains[C]∥Proc.of EACL 2003.Morgan Kaufmann,USA,2003. [19] WANG Y Y,DENG L,ACERO A.Semantic Frame-Based Spoken Language Understanding[J].Spoken Language Understanding:Systems for Extracting Semantic Information from Speech,2011,48(3):41-91. [20] FENG Z W.Complex Features in Description of Chinese Lan-guage[J].Journal of Chinese Information Processing,1990,4(3):20-29.(in Chinese) 冯志伟.汉语句子描述中的复杂特征[J].中文信息学报,1990,4(3):20-29. [21] BURTON R R.Semantic Grammar:An Engineering Technique for Constructing Natural Language Understanding Systems[J].ACM Sigart Bulletin,1976(61):26. [22] WALTZ D L.An english language question answering system for a large relational database[J].Communications of the ACM,1978,1(7):526-539. [23] HENDRIX G,SACERDOTI E,S AGALOWICZ D,et al.Developing a natural language interface to complex data[J].ACM Transactions on Database System,1978,3(2):105-147. [24] THOMPSON F B,THOMPSON B H.Practial natural language processing:the REL system prototype[J].Advances in Compu-ters,1975,13:109-168. [25] TEMPLETON M,BURGER J.Problems in Natural language in- terface to DBMS with examples from EUFID[C]∥Proceedings of the 1st Conference on Applied Natural Language Processing.Santa Monica,California,1983:3-16. [26] WANG Y Y,ACERO A.Rapid development of spoken language understanding grammars[J].Speech Communication,2006,48(3):390-416. [27] SENEFF S.TINA:A Natural Language System for SpokenLanguage Applications[J].Computational Linguistics,1992,18(1):61-86. [28] FRANCEZ N,WINTNER S.Unification Grammars[M].New York:Cambridge University Press,2012. [29] WARD W,ISSAR S.Recent improvements in the CMU spoken language understanding system[C]∥Proc.ARPA Human Language Technology.1996:213-216. [30] SHAPIRO S C.Generalized augmented transition network gram-mars for generation from semantic networks[J].Computational Linguistics,1982,8(1):12-25. [31] PIERACCINI R,LUBENSKY D.Spoken language communication with machines:the long and winding road from research to business[C]∥International Conference on Industrial,Enginee-ring and Other Applications of Applied Intelligent Systems.Springer Berlin Heidelberg,2005:6-15. [32] PSAROLOGOU A.A Stochastic Petri Net based NLU Scheme for Technical Documents Understanding[D].Wright State University,2016. [33] WONG Y W,MOONEY R J.Learning for semantic parsingwith statistical machine translation[C]∥Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computatio-nal Linguistics.Association for Computational Linguistics,2006:439-446. [34] HE Y,YOUNG S.Semantic processing using the hidden vector state model[J].Computer Speeech and Language,2005,9(1):85-106. [35] MENG H M,WAI C,PIERACCINI R.The use of belief net-works for mixed-initiative dialog modeling[J].IEEE Transactions on Speech and Audio Processing,2003,11(6):757-773. [36] WU W L,LU R Z,DUAN J Y,et al.Spoken language understanding using weakly supervised learning[J].Computer Speech &Language,2010,24(2):358-382. [37] MINKER W,WAIBEL A,MARIANI J.Stochastically-based se-antic analysis[J].Springer International,1999,3(2):177-194. [38] PIERACCINI R.Spoken language understanding,the research/industry chasm[C]∥HLT/NAACL Workshop on Spoken Language Understanding for Conversational Systems.Boston,2004. [39] WANG Y Y,ACERO A.SGStudio:rapid semantic grammar development for spoken language understanding[C]∥INTERSPEECH.2005:1869-1872. [40] SCHAPIRE R E,ROCHERY M,RAHIM M,et al.Boosting withprior knowledge for call classification[J].IEEE Transactions on Speech and Audio Processing,2005,13(2):174-181. [41] RAYNER M,HOCKEY B A.Transparent combination of rule-based and data-driven approaches in a speech understanding architecture[C]∥Proceedings of the Tenth Conference on European Chapter of the Association for Computational Linguistics.Budapest,Hungary,2003:12-17. [42] WANG Y,MAHAJAN M,HUANG X.A unified context-freegrammar and n-gram model for spoken language processing[C]∥International Conference of Acoustics,Speech,and Signal Processing.Istanbul,Turkey,2000:1639-1642. [43] WANG D S.A domain-specific question answering system basedon ontology and question templates[C]∥2010 11th ACIS International Conference on Software Engineering Artificial Intelligence Networking and Parallel/Distributed Computing (SNPD).IEEE,2010:151-156. [44] WANG D S,WANG S,WANG W M,et al.Interactive question answering based on Ontology and semantic Grammar[J].Journal of Chinese Information Processing,2016,2(2):142-152.(in Chinese) 王东升,王石,王卫民,等.基于本体和语义文法的上下文相关问答[J].中文信息学报,2016,2(2):142-152. [45] DUTA N.Natural Language Understanding and Prediction:from Formal Grammars to Large Scale Machine Learning[J].Fundamenta Informaticae,2014,131(3):425-440. [46] WANG Y Y.Strategies for statistical spoken language under-standing with small amount of data-an empirical study[C]∥INTERSPEECH-2010.2010:2498-2501. [47] WANG Y Y,LEE J,MAHAJAN M,et al.Combining statistical and knowledge-based spoken language understanding in conditional models[C]∥Proceedings of the Annual Meeting of the Association for Computational Linguistics.Association for Computational Linguistics,2006:882-889. [48] KLASINAS I,POTAMIANOS A,IOSIF E,et al.Web data harvesting for speech understanding grammar induction[C]∥INTERSPEECH.2013:2733-2737. [49] GEMMEKA J F,VAN DE LOO J,DE PAUW G,et al.A Self-Learning Assistive Vocal Interface Based on Vocabulary Lear-ning and Grammar Induction[C]∥Interspeech.2012:831-834. [50] VAN DE LOO J,DE PAUW G,G EMMEKE J F,et al.Towards shallow grammar induction for an adaptive assistive vocal interface:a concept tagging approach[C]∥Natural Language Processing for Improving Textual Accessibility (NLP4ITA) Workshop Programme.2012:27. [51] PALOGIANNIDI E,KLASINAS I,POTAMIANOS A,et al.Spoken dialogue grammar induction from crowdsourced data[C]∥2014 IEEE International Conference on Acoustics,Speech and Signal Processing (ICASSP).IEEE,2014:3211-3215. [52] GEORGILADAKIS S,UNGER C,IOSIF E,et al.Fusion ofknowledge-based and data-driven approaches to grammar induction[C]∥Interspeech.2014:288-292. [53] CHORIANOPOULOU A,ATHANASOPOULOU G,IOSIF E,et al.tucSage:Grammar Rule Induction for Spoken Dialogue Systems via Probabilistic Candidate Selection[C]∥SemEval 2014.2014:668. [54] GASPERS J,CIMIANO P,WREDE B.Semantic parsing of spee-ch using grammars learned with weak supervision[C]∥Confe-rence of the North American Chapter of the Association for Computational Linguistics:Human Language Technologies (NAACL-HLT).2015. [55] PARGELLIS A,FOSLER-LUSSIER E,LRR C H,et al.Auto-induced semantic classes[J].Speech Communication,2004,43(3):183-203. [56] PANGOS A,IOSIF E,POTAMIANOS A,et al.Combining statistical similarity measures for automatic induction of semantic classes[C]∥IEEE Workshop on Auto-matic Speech Recognition and Understanding (2005).IEEE,2005:278-283. [57] PALOGIANNIDI E.Using crowdsourcing for grammar induc-tion with application to spoken dialogue systems[D].Technical University of Crete,2013. [58] KAISER E C,JOHNSTON M,HEEMAN P A.Profer:Predictive,robust finite-state parsing for spoken language[C]∥IEEE International Conference on Acoustics,Speech,and Signal Processing,1999.IEEE,1999:629-632. [59] DIEKERMA A R,YILMAZEL O,LIDDY E D.Evaluation of restricted domain question-answering systems[C]∥ Proceedings of the ACL Workshop on Question Aaswering in Restricted Domains.2004. [60] FERRUCCI D,LEVAS A,BAGCHI S,et al.Watson:beyond jeopardy![J].Artificial Intelligence,2013,199:93-105. [61] LOPEZ V,FERNNDEZ M,MOTTA E,et al.Poweraqua:Supporting users in querying and exploring the semantic Web[J].Semantic Web,2012,3(3):249-265. [62] LOPEZ V,UREN V,SABOU M,et al.Is question answering fit for the semantic web?:a survey[J].Semantic Web,2011,2(2):125-155. [63] BENAMARA F.Cooperative question answering in restricted do-mains:the WEBCOOP experiment[C]∥Proceedings of the Workshop Question Answering in Restricted Domains.ACL,2004:21-26. |
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