wehaveintroducedinferenceproceduresthatarecapableofgeneratingopen-domaintextualinferences fromtheextracted knowledge. Ourevaluation resultssuggestmanyopportunitiesforfutureworkin thisarea. Acknowledgments The authors would like to thank the anonymous reviewers for their helpful comments and suggestions. The project or effort described here has beensponsoredbytheU.S.ArmyResearch,Development, and Engineering Command (RDECOM). Statementsandopinionsexpresseddonotnecessarily reflect the position orthe policy ofthe United States Government, and no official endorsement shouldbeinferred. References CollinBaker,CharlesFillmore,andJohnLowe. 1998. TheBerkeleyFrameNetproject. InChristianBoitet andPeteWhitelock,editors,ProceedingsoftheThirty- SixthAnnualMeetingoftheAssociationforComputationalLinguisticsandSeventeenthInternationalConference on ComputationalLinguistics, pages 86–90, SanFrancisco,California.MorganKaufmannPublishers. RoyBar-Haim,JonathanBerant,andIdoDagan. 20<strong>09</strong>. A compactforest for scalable inferenceover entailmentandparaphraserules.InProceedingsofthe20<strong>09</strong> Conference on Empirical Methods in Natural LanguageProcessing,pages1056–1065,Singapore,August.AssociationforComputationalLinguistics. K.Burton,A.Java,andI.Soboroff. 20<strong>09</strong>. Theicwsm 20<strong>09</strong>spinn3rdataset. InProceedingsoftheThirdAnnualConferenceonWeblogsandSocialMedia. LynnCarlsonandDanielMarcu. 2001. Discoursetaggingmanual.TechnicalReportISI-TR-545,ISI,July. EugeneCharniakandMarkJohnson. 2005. Coarse-tofinen-bestparsingandmaxentdiscriminativereranking. InProceedingsofthe43rdAnnualMeetingon AssociationforComputationalLinguistics. PeterClarkandPhilHarrison.20<strong>09</strong>.Large-scaleextractionanduseofknowledgefromtext. InK-CAP’<strong>09</strong>: Proceedings of the fifth international conference on Knowledgecapture,pages153–160,NewYork,NY, USA.ACM. PeterClark,ChristianeFellbaum,JerryR.Hobbs,Phil Harrison, William R. Murray, and John Thompson. 2008. AugmentingWordNetforDeepUnderstanding ofText.InJohanBosandRodolfoDelmonte,editors, 50 SemanticsinTextProcessing.STEP2008Conference Proceedings,volume1ofResearchinComputational Semantics,pages45–57.CollegePublications. Stefan Evert, Adam Kilgarriff, andSergeSharoff, editors.2008.4thWebasCorpusWorkshopCanwebeat Google? Christiane Fellbaum. 1998. WordNet: An Electronic LexicalDatabase(Language,Speech,andCommunication).TheMITPress,May. Danilo Giampiccolo, Hoa Trang Dang, Bernardo Magnini, Ido Dagan, and Bill Dolan. 2008. The fourthfascalrecognizingtextualentailmentchallenge. InProceedingsoftheFirstTextAnalysisConference. AndrewGordonandReid Swanson. 2008. Envisioningwithweblogs.InInternationalConferenceonNew MediaTechnology. AndrewGordonandReidSwanson. 20<strong>09</strong>. Identifying personalstoriesinmillionsofweblogentries.InThird InternationalConferenceonWeblogsandSocialMedia. Jonathan Gordon, Benjamin Van Durme, and Lenhart Schubert. 20<strong>09</strong>. Weblogsasasourceforextracting generalworldknowledge. InK-CAP’<strong>09</strong>: ProceedingsofthefifthinternationalconferenceonKnowledge capture,pages185–186,NewYork,NY,USA.ACM. A.C.Graesser,M.Singer,andT.Trabasso. 1994. Constructinginferencesduringnarrativetextcomprehension.PsychologicalReview,101:371–395. IrynaGurevychandTorstenZesch,editors. 20<strong>09</strong>. The PeoplesWebMeetsNLP:CollaborativelyConstructed SemanticResources. PaulKingsburyandMarthaPalmer.2003.Propbank:the nextleveloftreebank. InProceedingsofTreebanks andLexicalTheories. DouglasB.Lenat. 1995. Cyc: alarge-scaleinvestment inknowledgeinfrastructure. Communicationsofthe ACM,38(11):33–38. DavidMcClosky,EugeneCharniak,andMarkJohnson. 2006. Rerankingandself-trainingforparseradaptation. In ACL-44: Proceedings of the 21st InternationalConferenceonComputationalLinguisticsandthe44thannualmeetingoftheAssociationforComputationalLinguistics,pages337–344,Morristown,NJ, USA.AssociationforComputationalLinguistics. IsaacPersingandVincentNg. 20<strong>09</strong>. Semi-supervised causeidentificationfromaviationsafety reports. In ProceedingsoftheJointConferenceofthe47thAnnual Meeting of the ACL and the 4th International JointConferenceonNaturalLanguageProcessingof theAFNLP,pages843–851,Suntec,Singapore,August.AssociationforComputationalLinguistics. Rashmi Prasad, Alan Lee, Nikhil Dinesh, Eleni Miltsakaki,GeraudCampion,AravindJoshi,andBonnie
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NAACL HLT 2010 First International
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Introduction It has been a long ter
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Table of Contents Machine Reading a
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- Page 12 and 13: "coherent", based on criteria such
- Page 14 and 15: (SRL). While there are a number of
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- Page 18 and 19: even if those words reflect somethi
- Page 20 and 21: Building an end-to-end text reading
- Page 22 and 23: found to be wrong or correct (by su
- Page 24 and 25: Text Queue Parser 4 Summary Text Mi
- Page 26 and 27: formalized procedure to attach elem
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- Page 30 and 31: NVNPN 2 'person':'intercept':'pass'
- Page 32 and 33: 6 Related Work To build the knowled
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- Page 38 and 39: to run against a web-scale corpus a
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- Page 42 and 43: of the pattern space for any given
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- Page 46 and 47: e1 [ enter, nsubj, {customer, John}
- Page 48 and 49: To identify such pairs, the topic s
- Page 50 and 51: ≈ 57% 2. More words (bold) were j
- Page 52 and 53: References Sergey Brin and Lawrence
- Page 54 and 55: strengthsandweaknessesofthesystemin
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- Page 64 and 65: inference. Pruning involves using a
- Page 66 and 67: TEXTRUNNER SRL-IE P R F1 P R F1 Bin
- Page 68 and 69: that maximizes information gain div
- Page 70 and 71: References Eugene Agichtein and Lui
- Page 72 and 73: 1. Patterns based on words vs. pred
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- Page 76 and 77: ence of an attack. For instance, th
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- Page 96 and 97: References Sören Auer, Christian B
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- Page 102 and 103: TextRunner, Kylin, KOG, WOE, WPE).
- Page 104 and 105: Doug Downey, Matthew Broadhead, and
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Source Text Translation* QRG-CE Tex
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1987). We simplified the syntax of
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Gentner, D. (1983). Structure-Mappi
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sources can help in tasks like name
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werset in the previous step and bas
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we were able to construct a list of
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found at threshold of 2. There were
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Supporting rule-based representatio
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the domain of the spatial argument
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the time of the movement. This link
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don’t seem to be plausible candid
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PRISMATIC: Inducing Knowledge from
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Figure 1: System Overview by a suit
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ferent dimensions. Continuing with
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Author Index Barbella, David, 96 Ba