Download presentation

Presentation is loading. Please wait.

Published byDarcy Adams Modified over 2 years ago

1
Parsing I Context-free grammars and issues for parsers

2
2/45 Bibliography More or less all books on CL or NLP will have chapters on parsing, and some may be all or mostly about parsing Many are written for computer scientists –They explain linguistic things like POSs and PS grammars –They go into detail about implementation (eg talk of Earley’s algorithm, shift- reduce parsers) D Jurafsky & JH Martin Speech and Language Processing, Upper Saddle River NJ (2000): Prentice Hall. Chs 9 & 10 RM Kaplan ‘Syntax’ = Ch 4 of R Mitkov (ed) The Oxford Handbook of Computational Linguistics, Oxford (2003): OUP J Allen Natural Language Understanding (2 nd ed) (1994): Addison Wesley

3
3/45 Parsing Bedrock of (almost) all NLP Familiar from linguistics But issues for NLP are practicalities rather than universality –Implementation –Grammar writing –Interplay with lexicons –Suitability of representation (what do the trees show?)

4
4/45 Basic issues Top-down vs. bottom-up Handling ambiguity –Lexical ambiguity –Structural ambiguity Breadth first vs. depth first Handling recursive rules Handling empty rules

5
5/45 Some terminology Rules written A B c oTerminal vs. non-terminal symbols oLeft-hand side (head): always non-terminal oRight-hand side (body): can be mix of terminal and non-terminal, any number of them oUnique start symbol (usually S) o‘ ’ “rewrites as”, but is not directional (an “=” sign would be better)

6
6/45 S NP VP NP det n VP v VP v NP 1. Top-down with simple grammar Lexicon det {an, the} n {elephant, man} v shot S NP VP S NP VP NP det n the man shot an elephant det n det {an, the} the n {elephant, man} man VP v VP v NP v v shot shot No more rules, but input is not completely accounted for… So we must backtrack, and try the other VP rule

7
7/45 Lexicon det {an, the} n {elephant, man} v shot S NP VP NP det n VP v VP v NP 1. Top-down with simple grammar S NP VP S NP VP NP det n the man shot an elephant det n det {an, the} the n {elephant, man} man VP v VP v NP v NP v shot shot NP det n det n det {an, the} an n {elephant, man} elephant No more rules, and input is completely accounted for

8
8/45 Breadth-first vs depth-first (1) When we came to the VP rule we were faced with a choice of two rules “Depth-first” means following the first choice through to the end “Breadth-first” means keeping all your options open We’ll see this distinction more clearly later, And also see that it is quite significant

9
9/45 S NP VP NP det n VP v VP v NP 2. Bottom-up with simple grammar Lexicon det {an, the} n {elephant, man} v shot S NP VP S NP det n the man shot an elephant VP v NPVP We’ve reached the top, but input is not completely accounted for… So we must backtrack, and try the other VP rule det {an, the} n {elephant, man} v shot detnv n NP VP v NP VP S NP VP S We’ve reached the top, and input is completely accounted for

10
10/45 S NP VP NP det n VP v VP v NP Same again but with lexical ambiguity Lexicon det {an, the} n {elephant, man, shot} v shot shot can be v or n

11
11/45 S NP VP NP det n VP v VP v NP 3. Top-down with lexical ambiguity Lexicon det {an, the} n {elephant, man, shot} v shot S NP VP S NP VP NP det n the man shot an elephant det n det {an, the} the n {elephant, man} man VP v VP v NP v NP shot det n an elephant Same as before: at this point, we are looking for a v, and shot fits the bill; the n reading never comes into play

12
12/45 S NP VP NP det n VP v VP v NP 4. Bottom-up with lexical ambiguity Lexicon det {an, the} n {elephant, man, shot} v shot S NP VP S NP det n the man shot an elephant VP v NP VP det {an, the} n {elephant, man, shot} v shot det n v n NP n VP v NP VP S Terminology: graph nodes arcs (edges)

13
13/45 det n S NP VP NP det n VP v VP v NP 4. Bottom-up with lexical ambiguity Lexicon det {an, the} n {elephant, man, shot} v shot the man shot an elephant NP det n v NP n VP S S Let’s get rid of all the unused arcs

14
14/45 det n S NP VP NP det n VP v VP v NP 4. Bottom-up with lexical ambiguity Lexicon det {an, the} n {elephant, man, shot} v shot the man shot an elephant NP det n v NP VP S Let’s get rid of all the unused arcs

15
15/45 det n S NP VP NP det n VP v VP v NP 4. Bottom-up with lexical ambiguity Lexicon det {an, the} n {elephant, man, shot} v shot the man shot an elephant NP det n v NP VP S And let’s clear away all the arcs…

16
16/45 det n S NP VP NP det n VP v VP v NP 4. Bottom-up with lexical ambiguity Lexicon det {an, the} n {elephant, man, shot} v shot the man shot an elephant NP det n v NP VP S And let’s clear away all the arcs…

17
17/45 Breadth-first vs depth-first (2) In chart parsing, the distinction is more clear cut: At any point there may be a choice of things to do: which arcs to develop Breadth-first vs. depth-first can be seen as what order they are done in Queue (FIFO = breadth-first) vs. stack (LIFO= depth-first)

18
18/45 S NP VP NP det n NP det n PP VP v VP v NP VP v NP PP PP prep NP Same again but with structural ambiguity Lexicon det {an, the, his} n {elephant, man, shot, pyjamas} v shot prep in S NP VP det n theman v NP shot det n anelephant prep NP in det n hispyjamas PP in his pyjamas the man shot an elephant We introduce a PP rule in two places

19
19/45 Lexicon det {an, the, his} n {elephant, man, shot, pyjamas} v shot prep in S NP VP det n theman v NP shot det n anelephant prep NP in det n hispyjamas PP in his pyjamas the man shot an elephant We introduce a PP rule in two places S NP VP NP det n NP det n PP VP v VP v NP VP v NP PP PP prep NP Same again but with structural ambiguity

20
20/45 S NP VP S NP VP NP det n NP det n PP the man shot an elephant in his pyjamas det n det {an, the, his} n {elephant, man, shot, pyjamas} 5. Top-down with structural ambiguity At this point, depending on our strategy (breadth-first vs. depth-first) we may consider the NP complete and look for the VP, or we may try the second NP rule. Let’s see what happens in the latter case. PP prep NP prep in PP prep NP The next word, shot, isn’t a prep, So this rule simply fails the man S NP VP NP det n NP det n PP VP v VP v NP VP v NP PP PP prep NP

21
21/45 S NP VP S NP VP NP det n NP det n PP the man shot an elephant in his pyjamas det n det {an, the, his} the n {elephant, man, shot, pyjamas} man VP v VP v NP VP v NP PP v shot anelephant 5. Top-down with structural ambiguity shot v As before, the first VP rule works, But does not account for all the input. v NP shot NP det n NP det n PP det n det {an, the, his} n {elephant, man, shot, pyjamas} Similarly, if we try the second VP rule, and the first NP rule … S NP VP NP det n NP det n PP VP v VP v NP VP v NP PP PP prep NP

22
22/45 S NP VP S NP VP NP det n NP det n PP the man shot an elephant in his pyjamas det n det {an, the, his} the n {elephant, man, shot, pyjamas} man VP v VP v NP VP v NP PP v shot 5. Top-down with structural ambiguity shot v NP det n NP det n PP So what do we try next? This? Or this? Depth-first: it’s a stack, LIFO Breadth-first: it’s a queue, FIFO S NP VP NP det n NP det n PP VP v VP v NP VP v NP PP PP prep NP an elephant v NP shot det n

23
23/45 S NP VP S NP VP NP det n NP det n PP the man shot an elephant in his pyjamas det n det {an, the, his} the n {elephant, man, shot, pyjamas} man VP v VP v NP VP v NP PP v shot 5. Top-down with structural ambiguity (depth-first) NP det n NP det n PP anelephant v NP det {an, the, his} n {elephant, man, shot, pyjamas} shot det n PP PP prep NP prep in prep NP in his pyjamas S NP VP NP det n NP det n PP VP v VP v NP VP v NP PP PP prep NP

24
24/45 S NP VP S NP VP NP det n NP det n PP the man shot an elephant in his pyjamas det n det {an, the, his} the n {elephant, man, shot, pyjamas} man VP v VP v NP VP v NP PP v shot 5. Top-down with structural ambiguity (breadth-first) NP det n NP det n PP v NP PP prep NP in his pyjamas shot det n an det {an, the, his} elephant n {elephant, man, shot, pyjamas} PP prep NP prep in S NP VP NP det n NP det n PP VP v VP v NP VP v NP PP PP prep NP

25
25/45 Recognizing ambiguity Notice how the choice of strategy determines which result we get (first). In both strategies, there are often rules left untried, on the list (whether queue or stack). If we want to know if our input is ambiguous, at some time we do have to follow these through. As you will see later, trying out alternative paths can be quite intensive

26
26/45 6. Bottom-up with structural ambiguity S NP VP NP det n the man shot an elephant in his pyjamas VP v NP VP VP v NP S NP VP NP det n NP det n PP VP v VP v NP VP v NP PP PP prep NP detnv nprepdetn NP NP det n PP PP prep NP PP NP VP VP v NP PP VP S S S S

27
27/45 6. Bottom-up with structural ambiguity the man shot an elephant in his pyjamas NP S NP VP NP det n NP det n PP VP v VP v NP VP v NP PP PP prep NP detnv nprepdetn NP PP NP VP S S S

28
28/45 Recursive rules “Recursive” rules call themselves We already have some recursive rule pairs: NP det n PP PP prep NP Rules can be immediately recursive AdjG adj AdjG (the) big fat ugly (man)

29
29/45 Recursive rules Left recursive AdjG AdjG adj AdjG adj Right recursive AdjG adj AdjG AdjG adj AdjG adj AdjG adj big fat rich old AdjG adj AdjG adj big fat rich old

30
30/45 NP det n the NP det n NP det AdjG n AdjG AdjG adj AdjG adj 7. Top-down with left recursion NP det n NP det AdjG n the big fat rich old man the AdjG AdjG adj AdjG adj NP det AdjG n AdjG adj You can’t have left- recursive rules with a top-down parser, even if the non-recursive rule is first

31
31/45 NP det n NP det AdjG n AdjG adj AdjG AdjG adj 7. Top-down with right recursion NP det n NP det AdjG n the big fat rich old man the AdjG adj AdjG AdjG adj NP det AdjG n adj AdjG big adj AdjG fat adj AdjG rich adj AdjG old adj AdjG adjold man old

32
32/45 NP det n NP det AdjG n AdjG AdvG adj AdjG AdjG adj AdvG AdvG adv AdvG adv 8. Bottom-up with left and right recursion AdjG rule is right recursive, AdvG rule is left recursive the very very fat ugly man detadv adj n AdjG adj AdjG AdvG adv AdvG AdjG AdvG adj AdjG AdjG AdvG AdvG adv AdvG AdjG AdvG adj AdjG AdjG NP det AdjG n NP Quite a few useless paths, but overall no difficulty

33
33/45 NP det n NP det AdjG n AdjG AdvG adj AdjG AdjG adj AdvG AdvG adv AdvG adv 8. Bottom-up with left and right recursion AdjG rule is right recursive, AdvG rule is left recursive the very very fat ugly man detadv adj n AdjG adj AdjG AdvG adv AdvG AdjG AdvG adj AdjG AdvG AdvG adv AdvG AdjG AdvG adj AdjG AdjG NP det AdjG n NP

34
34/45 Empty rules For example NP det AdjG n AdjG adj AdjG AdjG ε Equivalent to NP det AdjG n NP det n AdjG adj AdjG adj AdjG Or NP det (AdjG) n AdjG adj (AdjG)

35
35/45 NP det AdjG n AdjG adj AdjG AdjG ε 7. Top-down with empty rules NP det AdjG n the man the AdjG adj AdjG AdjgG ε NP det AdjG n adj AdjG man NP det AdjG n the big fat man the AdjG adj AdjG AdjgG ε NP det AdjG n adj AdjG big adj AdjG fat man

36
36/45 8. Bottom-up with empty rules the fat man detadjn AdjG ε AdjG adj AdjG NP det AdjG n NP Lots of useless paths, especially in a long sentence, but otherwise no difficulty NP det AdjG n AdjG adj AdjG AdjG ε AdjG

37
37/45 Some additions to formalism Recursive rules build unattractive tree structures: you’d rather have flat trees with unrestricted numbers of daughters Kleene star AdjG adj* NP AdjG det adj adj adj adj n the big fat old ugly man

38
38/45 Some additions to formalism As grammars grow, the rule combinations multiply and it gets clumsy NP det n NP det AdjG n NP det n PP NP det AdjG n PP NP n NP AdjG n NP n PP NP AdjG n PP NP (det) n (AdjG) n (PP)

39
39/45 Processing implications Parsing with Kleene star –Neatly combines empty rules and recursive rules

40
40/45 NP det adj* n 9. Top-down with Kleene star NP det adj* n the man the adj* = adj adj* adj* = ε man NP det adj* n the big fat man the adj* = adj adj* adj* = ε NP det adj* n bigfat man NP det adj* n adj adj*

41
41/45 10. Bottom-up with Kleene star the fat man detadjn NP det adj* n NP NP det adj* n detadjn NP the fat ugly man adj

42
42/45 Processing implications Parsing with bracketed symbols –Parser has to expand rules either in a single pass beforehand or (better) on the fly (as it comes to them) –So bracketing convention is just a convenience for rule-writers NP (det) n (AdjG) n (PP) NP det n (AdjG) n (PP) NP n (AdjG) n (PP)

43
43/45 Top down vs. bottom-up Bottom-up builds many useless trees Top-down can propose false trails, sometimes quite long, which are only abandoned when they reach the word level –Especially a problem if breadth-first Bottom-up very inefficient with empty rules Top-down CANNOT handle left-recursion Top-down cannot do partial parsing –Especially useful for speech Wouldn’t it be nice to combine them to get the advantages of both?

44
44/45 Left-corner parsing The “left corner” of a rule is the first symbol after the rewrite arrow –e.g. in S NP VP, the left corner is NP. Left corner parsing starts bottom-up, taking the first item off the input and finding a rule for which it is the left corner. This provides a top-down prediction, but we continue working bottom-up until the prediction is fulfilled. When a rule is completed, apply the left-corner principle: is that completed constituent a left- corner?

45
45/45 S NP VP NP det n VP v VP v NP 9. Left-corner with simple grammar NP det n the man shot an elephant VP v det the man NP n S NP VP S VP shot v but text not all accounted for, so try VP v NP NP det an NP det n n elephant

Similar presentations

OK

Top-Down Parsing - recursive descent - predictive parsing

Top-Down Parsing - recursive descent - predictive parsing

© 2017 SlidePlayer.com Inc.

All rights reserved.

Ads by Google

Ppt on mammals and egg laying animals list Ppt on production theory in economics Ppt on global warming in hindi language Ppt on preparedness for disaster in india Ppt on bluetooth security system Ppt on 2nd world war memorial washington Ppt on lines in fashion design Ppt on different solid figures in geometry File type ppt on cybercrime news Ppt on statistics in maths what does mode