Incremental Dependency Parsing

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Transcription:

Inrementl Dependeny Prsing Mihel Fell 9 June 2011 1

Overview - Inrementl Dependeny Prsing - two lgorithms - evlution - enerl ritiism on present pprohes - possile improvements - ummry 2

Dependeny Prsing The mn loves ke. (entene) Det uj Oj The mn loves ke. (Dependeny rph) 3

Dependeny rph Leled, direted grph (W, A) - W: words in the sentene - A: dependeny reltion etween words 4

Dependeny rph Leled, direted grph (W, A) - W: words in the sentene - A: dependeny reltion etween words Well-formedness riteri: - onneted - yli - unique lel - single hed - projetive 5

Inrementl Dependeny Prsing Dependeny prsing - is roust nd performs well - omits phrsl nodes Wht out doing it inrementlly? 6

Inrementl Dependeny Prsing Dependeny prsing - is roust nd performs well - omits phrsl nodes Wht out doing it inrementlly? One possiility: Left-to-right ottom-up dependeny prsing 7

Bottom-up Dependeny Prsing stk input dep. grph 8

Bottom-up Dependeny Prsing hift: () stk input dep. grph 9

Bottom-up Dependeny Prsing hift: () stk input dep. grph Left-Redue (LR): 10

Bottom-up Dependeny Prsing hift: () stk input dep. grph Right-Redue (RR): Left-Redue (LR): 11

Bottom-up Dependeny Prsing Exmple derivtion of 12

Bottom-up Dependeny Prsing Exmple derivtion of (1) 13

Bottom-up Dependeny Prsing Exmple derivtion of (1) (2) 14

Bottom-up Dependeny Prsing Exmple derivtion of (1) (2) (3) LR 15

Bottom-up Dependeny Prsing Exmple derivtion of (1) (2) (3) LR (4) - 16

Bottom-up dependeny prsing Exmple derivtion of (1) (2) (3) LR (4) (5) - RR - 17

Bottom-up dependeny prsing Dependeny grphs with 3 nodes: We hve derived (4). (2), (3) nd (5) n lso e derived. 18

Bottom-up dependeny prsing Dependeny grphs with 3 nodes: We hve derived (4). (2), (3) nd (5) n lso e derived. (1) nd (6), (7) n t e derived 19

Bottom-up Dependeny Prsing Dependeny grphs with 3 nodes: We hve derived (4). (2), (3) nd (5) n lso e derived. (1) nd (6), (7) n t e derived (1): is omined vi Right-Redution hs hed ersed from stk 20

Bottom-up Dependeny Prsing Dependeny grphs with 3 nodes: We hve derived (4). (2), (3) nd (5) n lso e derived. (1) nd (6), (7) n t e derived (1): is omined with vi Right-Redution hs hed ersed from stk (6), (7): no onneting r etween nd To onnet them, we needed to put onto the stk, too. (hene lose inrementlity) 21

Bottom-up Dependeny Prsing Is there wy to prse (1) nd (6), (7) inrementlly? (6), (7): no!

Bottom-up Dependeny Prsing Is there wy to prse (1) nd (6), (7) inrementlly? (6), (7): no! (1): yes, red input from right to left inrementlity?

(1) n e proessed inrementlly Bottom-up Dependeny Prsing Is there wy to prse (1) nd (6), (7) inrementlly? (6), (7): no! (1): yes, red input from right to left inrementlity?

Inrementl Dependeny Prsing Bottom-up nd Top-down in Dependeny Prsing BU: D H x * D H x Dependent D is tthed to its hed H efore H is tthed to its hed 25

Inrementl Dependeny Prsing Bottom-up nd Top-down in Dependeny Prsing BU: D H x * D H x Dependent D is tthed to its hed H efore H is tthed to its hed TD: * H D x H D x Hed H is tthed to dependent D efore D is tthed to its dependent(s) 26

Inrementl Dependeny Prsing Bottom-up nd Top-down in Dependeny Prsing BU: D H x * D H x Dependent D is tthed to its hed H efore H is tthed to its hed TD: * H D x H D x Hed H is tthed to dependent D efore D is tthed to its dependent(s) Insight: We n proess left-dependents inrementlly vi BU proess right-dependents inrementlly vi TD prsing 27

Inrementl Dependeny Prsing Bottom-up nd Top-down in Dependeny Prsing BU: D H x * D H x Dependent D is tthed to its hed H efore H is tthed to its hed TD: * H D x H D x Hed H is tthed to dependent D efore D is tthed to its dependent(s) Insight: We n proess left-dependents inrementlly vi BU proess right-dependents inrementlly vi TD prsing Ar-Eger Dependeny Prsing 28

Ar-Eger Dependeny Prsing hift: () stk input dep. grph 29

Ar-Eger Dependeny Prsing hift: () stk input dep. grph Left-Ar (LA): 30

Ar-Eger Dependeny Prsing hift: () stk input dep. grph Right-Ar (RA): Left-Ar (LA): 31

Ar-Eger Dependeny Prsing hift: () stk input dep. grph Right-Ar (RA): Left-Ar (LA): Redue (R): 32

Bottom-up vs. Ar-Eger stk input dep. grph hift: ( BU ) hift: ( AE ) 33

Bottom-up vs. Ar-Eger stk input dep. grph hift: ( BU ) hift: ( AE ) eft-redue (LR): Left-Ar (LA): LR LA 34

Bottom-up vs. Ar-Eger hift: ( BU ) stk input dep. grph hift: ( AE ) eft-redue (LR): Left-Ar (LA): LR LA 35

Bottom-up vs. Ar-Eger hift: ( BU ) stk input dep. grph hift: ( AE ) eft-redue (LR): Left-Ar (LA): LR LA 36

Bottom-up vs. Ar-Eger Right-Redue (RR): Right-Ar (RA): RR RA 37

Bottom-up vs. Ar-Eger Right-Redue (RR): Right-Ar (RA): RR RA 38

Bottom-up vs. Ar-Eger Right-Redue (RR): Right-Ar (RA): RR RA R 39

Bottom-up vs. Ar-Eger Right-Redue (RR): Right-Ar (RA): RR RA R Ar-Eger Dependeny Prsing n fully simulte Bottom-up Dependeny Prsing! 40

Bottom-up vs. Ar-Eger Right-Redue (RR): Right-Ar (RA): RR RA R Ar-Eger Dependeny Prsing n fully simulte Bottom-up Dependeny Prsing We n lso derive new grphs with AE! (see next slide) 41

Ar-Eger Dependeny Prsing (1) is not derivle with BU prsing, ut it is with AE: 42

Ar-Eger Dependeny Prsing (1) is not derivle with BU prsing, ut it is with AE: 43

Ar-Eger Dependeny Prsing (1) is not derivle with BU prsing, ut it is with AE: RA 44

Ar-Eger Dependeny Prsing (1) is not derivle with BU prsing, ut it is with AE: RA RA - 45

Ar-Eger Prsing: Evlution - smll wedish treenk (5685 sentenes) - evluting inrementlity: numer of onneted omponents on stk during prse ( 1 mens stritly inrementl) 46

Ar-Eger Prsing: Evlution - smll wedish treenk (5685 sentenes) - evluting inrementlity: numer of onneted omponents on stk during prse ( 1 mens stritly inrementl) stritly inrementl 47

Ar-Eger Prsing: Evlution - smll wedish treenk (5685 sentenes) - evluting inrementlity: numer of onneted omponents on stk during prse ( 1 mens stritly inrementl) stritly inrementl mildly inrementl 48

Intermedite ummry - Dependeny prsing works well in prtie - Inrementl dependeny prsing possile in mny ses - Improving the prsing tehnique is essentil - Ar-Eger performs etter thn Bottom-up dep. prsing - Well-formed prsing results show high inrementlity 49

Intermedite ummry - Dependeny prsing works well in prtie - Inrementl dependeny prsing possile in mny ses - Improving the prsing tehnique is essentil - Ar-Eger performs etter thn Bottom-up dep. prsing - Well-formed prsing results show high inrementlity - ut, wht out those strutures (6) nd (7) we ouldn t prse inrementlly? 50

Roust Inrementlity 51

Roust Inrementlity Drwks of storing omponents on stk - psyholinguisti plusiility: why not integrte diretly? 52

Roust Inrementlity Drwks of storing omponents on stk - psyholinguisti plusiility: why not integrte diretly? - prtility: dely of output s stored omponents re not prt of it 53

Roust Inrementlity - Argument Dependeny Model - dependenies etween ver s rguments - proto roles (proto-gent, proto-ptient) - e.g.: noun(nimte & nomintive) noun(proto-gent) dependeny rel. UBJ governs the noun (phrse) unless ontrditory onstrints override this 54

Roust Inrementlity NONPEC node - onnet strutures to NONPEC node while ver hs not een found - NONPEC n hnge into ny other node nd even divide into severl nodes - My even e in the resulting grph

Roust Inrementlity: Evlution - orpus with - uniform sentene pttern - ver-finl suluses 97.3% urte dependeny grphs, ut 56

ummry - Inrementl Dependeny Prsing is possile nd effiient - Ver-end strutures pose prolems to strit inrementlity - Pseudo-strit inrementlity with strt NONPEC node suggested - Integrtes dep. reltions on-the-fly - still seems lot like renmed stk to me (whih n e output) too vgue 57

Thnk you! 58

Referenes Jokim Nivre (2004). Inrementlity in Deterministi Dependeny Prsing Wolfgng Menzel (2009). Towrds rdilly inrementl prsing of nturl lnguge 59