256 201111 JOURNAL OFCHINESEINFORMATIONPROCESSING Vol.25No.6 Nov.2011 :1003-0077(2011)06-0046-07 ( 030006) : (ChineseFrameNetCFN) Filmore FrameNet 25 F1-74.16%52.70%61.62%; : ; ; :TP391 :A ResearchonChineseFrameNetConstructionandApplicationtechnologies LIU Kaiying (SchoolofComputerandInformationTechnologyShanxiUniversityTaiyuanShanxi030006China) Abstract:ChineseFrameNetisancomputationallexicalsemanticdatabasewhichisbasedontheframesemanticsby FilmorereferringtotheFrameNetbytheCaliforniaUniversityatBerkeleyandsupportedbyChineserealcopus. ThisarticleintroducestheCFN basictheory:framesemanticsandtheenglishframenetproject.thenitanalyzes theconstructingtechnologyintroducestheongoingresearchesonautomaticsemanticannotationbasedoncfn.the experimentalresultsonal25framesdatafortheprecisiontherecalandf1-valuereached74.16%52.70% 61.62% respectively.atlastitintroducesthesituationofsomeresearchesbasedoncfn. Keywords:ChineseFramenet;semanticrolelabeling;framesemanticdependencygraph (Frame Ele- 1 ments) (FrameSemantics) Filmore (Heating-instrument) [1] (Frame) (MotivatingContext) :2011-09-15 :2011-10-10 (Cook) (Food) (Container) : (60873128); 863 (2006AA01Z142); (07CYY022) : (1931 )
6 : 47 1997 (FrameNet) [2] [3] [4] [5] [6] (ChineseFrameNetCFN) 20118 1094 2004 12132 65% 1520 ; [7] 3151 ( ) 309 2 ; FrameNet 9328 10 51 [8] atract( ) cast( 512 86 ) catapult( ) drag()34 20061011 (CauseMotion)9 : (Agent) (Area) (Cause) (Goal) (Initial State) (Path) (Result) (Source) (Theme);11 : (Degree) (Depictive) (Distance) (Explanation) (Handle) (Instrument) (Manner) (Means) (Place) (Subregion) (Time) 8 ;(3) ;(4) 1589 FrameNet (American NationalCorpusANC) : (Multiply- CFN [9] (1)CFN :(1) ;(2) 1 a)cfn FN AnnotatedSub-Corpus ) 240 19 : v 2 CFN
48 2011 CFN : <1> vvvvv v v CFN 34 52 1 CFN v v v <1> ( ) <2> (Ent) (At) (Val1) (Val2) (Inis)(Finis) (Dif) (Val ran) (cir) (Cor) (Dur) (Cor1) (Cor2) 獉獉 (Manr) (Path) (Place) (Speed) (Time) 獉獉 : : : :[ ] : :[ ] : v v v v v v v vvv vv :[ ][ ] v v <2> v v v v v d) ( ) b) : (2) ; CFN : CCL 1 F2000 獉獉 2 獉獉 1 ( ) 10~20 2 ( 2 1 ) CFN : <at-np-subj > <tgt=[ ; ] > <diff-np-obj > tgt [ ] ;at ( 1)np subj c) FN CFN ;
6 : 49 94.1% F1-71.9% F1- PropBank : 50 6 Arg0-Arg5 [13] : PropBank (3) (24) np.dlc(1);np.subj s(1) np.obj(11);dj.obj(4);dni(2); ini(3)np.ext(2);np.subj (1); vp.obj(1) (3) sp.obj(2);pp[].adva(1) (2) dj.comp(1);ap.adva(1) (6) tp.adva (4);tp.subj s(1);tp.adva s(1) (1) pp[].adva(1) (1) np.obj(1) [18] CFN CFN 80.1% CFN 69.9% [19-21] (CRF) : 3 (CRF) [10] [11] PropBank [12] PropBank Arg2Arg5 PropBank 2 [14] 2 PropBank [15]PropBank (28) np.subj(9);np.ext(11);ini(4); np.head (1);pp[].ext (1); CRF [16] PropBank [17] IOB Senseval-3 FrameNet
50 2011 4 mp mr mf std(mf) CRF++ Source- forge(htp://crfpp.sourceforge.net/) 63.04% 60.20% 61.58% 0.0049 CRF CRFL2 C=1 CRF 71.67% 55.27% 62.41% 0.0028 SVM 25 4 ; 61.36% 54.59% 57.78% 0.0036 2-fold ME 32-fold 3 F1-64.28% 61.03% 62.61% 0.0044 CRF 3 72.53% 54.84% 62.45% 0.0025 3 CRFSVM mp mr mf std(mf) 72.60% 49.50% 58.86% 0.0019 62.87% 56.44% 59.48% 0.0050 73.99% 50.73% 60.19% 0.0008 63.97% 57.25% 60.42% 0.0050 75.69% 68.08% 71.68% 0.0054 60.43% 58.07% 59.23% 0.0042 ME Stanford 71.70% 45.46% 55.64% 0.0040 [12] ME 5 mp 1) ;2) ;3) ;mr ; 25 6692 mf F1-;mA 43 2-fold ;std(mf) 3 F1- mf std(mf)= 槡 Var(mF ) (CRF) (SVM) CRF :(1) CRF (ME) ;(2) 25 ; (mf)71.68%; (ma)84.08%; (3) ( ) (mf) CRF 63.26% (SVM) (ME) 4 CFN (CRF) 4.1 4
6 : 51 ( ) 4.3 [26] CFN :(1) (Lexical 121 3.2 1633 UnitDetection)(2) (Unknown 13.5 232 FrameDetection)(3) (FrameDisambigu- ( ation) [22] ) 50 88 14 2077 35 35 3-fold 35 69.28% [23] HumSent T-CRF 7 80.18% 940 128 81.46% 4.2 4.4 [27] [24-25] 1 93.17% ; 1 :
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