pdt: tectogrammatical representation
DESCRIPTION
PDT: Tectogrammatical Representation. Jan Haji č Institute of Formal and Applied Linguistics School of Computer Science Faculty of Mathematics and Physics Charles University, Prague Czech Republic. Tectogrammatical Annotation (t-layer). Underlying (deep) syntax 4 sublayers ( integrated ): - PowerPoint PPT PresentationTRANSCRIPT
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March 5, 2008 Companions Semantic Representation and Dialog Interfacing Workshop - Tectogrammatics
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PDT:Tectogrammatical
Representation
Jan Hajič
Institute of Formal and Applied Linguistics
School of Computer Science
Faculty of Mathematics and Physics
Charles University, Prague
Czech Republic
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Tectogrammatical Annotation (t-layer)
Underlying (deep) syntax 4 sublayers (integrated):
dependency structure, (detailed) functors valency annotation
topic/focus and deep word order coreference (mostly grammatical only) all the rest (“grammatemes”):
detailed functors, underlying gender, number, ...
Total 39 attributes (vs. 5 at m-layer, 2 at a-layer)
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Analytical vs. Tectogrammatical representation
Underlying verb + tense
Deep function
Elided Actor in
Prepositions out
Another ellipsis...
(TR: sublayer 1 only shown)
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Layer 3: Tectogrammatical
Underlying (deep) syntax 4 sublayers:
dependency structure, (detailed) functors topic/focus and deep word order coreference (mostly grammatical only) all the rest (grammatemes):
detailed functors underlying gender, number, ...
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Tectogrammatical Functors
“Actants”: ACT, PAT, EFF, ADDR, ORIG
modify: verbs, nouns, adjectives cannot repeat in a clause, usually obligatory
Free modifications (~ 50), semantically defined can repeat; optional, sometimes obligatory Ex.: LOC, DIR1, ...; TWHEN, TTILL,...; RSTR; BEN, ATT, ACMP,
INTT, MANN; MAT, APP; ID, DPHR, ...
Special Coordination, Rhematizers, Foreign phrases,...
syntactic semantic
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Tectogrammatical Example
Analytical verb form: he would be allowed to be enrolled
Additional attributes (grammatemes):conditional + “allow”
Collapsed
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Tectogrammatical Example
Predicate with copula (state) you were fired
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Tectogrammatical Example
Passive construction (action) (The) book has been translated [by Mr. X]
Disappeared Added
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Tectogrammatical Example
Object he gave Mary a book
Obj goes into ACT, PAT, ADDR, EFF or ORIG based on governor’s valency frame
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Relative clause (embedded) the woman, who had a French accent, was very pretty
Tectogrammatical Example
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Tectogrammatical Example
Incomplete phrases Peter works well, but Paul badly
Added
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Layer 3: Tectogrammatical
Underlying (deep) syntax 4 sublayers:
dependency structure, (detailed) functors topic/focus and deep word order coreference (mostly grammatical only) all the rest (grammatemes):
detailed functors underlying gender, number, ...
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Deep Word Order, Topic/Focus
Example:
Baker bakes rolls. vs. BakerIC bakes rolls.
Analyticaldep. tree:
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Deep Word OrderTopic/Focus
Deep word order: from “old” information to the “new” one (left-to-
right) at every level (head included) projectivity by definition (almost...)
i.e., partial level-based order -> total d.w.o.
Topic/focus/contrastive topic attribute of every node (t, f, c) restricted by d.w.o. and other constraints
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Layer 3: Tectogrammatical
Underlying (deep) syntax 4 sublayers:
dependency structure, (detailed) functors topic/focus and deep word order coreference (mostly grammatical only) all the rest (grammatemes):
detailed functors underlying gender, number, ...
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Coreference(intro only: see Silvie’s part)
Grammatical (easy) relative clauses
which, who Peter and Paul, who ...
control infinitival constructions
John promised to go ...
reflexive pronouns {him,her,thme}self(-ves)
Mary saw herself in ...
Johngo
he home
promisePRED
ACTPAT
ACT DIR3
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Coreference
Textual Ex.: Peter moved to Iowa after he finished his PhD.
Peter Iowafinish
he PhD
movePRED
ACT DIR1TWHEN
ACT PAT
heAPP
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Layer 3: Tectogrammatical
Underlying (deep) syntax 4 sublayers:
dependency structure, (detailed) functors topic/focus and deep word order coreference (mostly grammatical only) all the rest (grammatemes):
detailed functors underlying gender, number, ...
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“Grammatemes”
Detailed functors (subfunctors) only for some functors:
TWHEN: before/after LOC: next-to, behind, in-front-of, ... also: ACMP, BEN, CPR, DIR1, DIR2, DIR3, EXT
Lexical (underlying) number (SG/PL), tense, modality, degree of
comparison, ... strictly only where necessary (agreement!)
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Tectogrammatical attributes I
node typing complex, coap, qcomplex, root, atom, ...
functor, subfunctor TWHEN: TWHEN.basic, TWHEN.before
is_member, is_generated, is_parenthesis, is_dsp_root, is_state, quot_type, ...
grammatemes (16): aspect, degcmp, deontmod, sempos, tense, indeftype,
politeness, person, ...
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Tectogrammatical attributes II
topic/focus: tfa, deepord
valency: t_lemma, val_frame.rf bookkeeping: id coref_gram.rf, coref_text.rf, compl.rf
reference to TR node, type of coreference sentmod Linking to analytical layer
a.lex.rf (“main” anal. node), a.aux.rf (others)
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Fully Annotated Sentence
He spends his days sketching passers-by, or trying to.
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Definition of Valency
Ability (“desire”) of words (verbs, nouns, adjectives) to combine themselves with other units of meaning
Properties of valency: Specific for every word meaning (in general)
leave: sb left sth for sb vs. sb left from somewhere same as in PropBank leave.02 vs. leave.01
Typically strongly correlates with surface form morphological case (~ ending), preposition+case, ...
Semantic constraintsare very dangerous
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Structure of Valency
word (lemma) word sense group 1
valency frame: slot1 slot2 slot3
surface expression word sense group 2
...
PDT VALLEX (Cz), EngVallex (En)
vyměnit (to replace) vyměnit1
ACT PAT EFF
Nom. Acc.za+Acc.
vyměnit2
...
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PDT-VALLEX Entry dosáhnout: “to reach”, “to get [sb to do sth]” browser/user-formatted example:
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Corpus <-> Valency Lexicon Corpus:
ENTRY: uzavřít vf1: ACT(.1) CPHR({smlouva}.4)
ex: u. dohodu (close a contract)vf2: ACT(.1) PAT(.4)
ex.: u. pokoj (close a room, house)
Lexicon:
Sentence 2035: Sentence 15345: Sentence 51042:
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Valency & Form: Constraints Tree structure:
(Sets of) Constraints: n1: lemma=uvažovat mode=active n2: case=Nom afun=Sb n3: lemma=o afun=AuxP n4: case=Loc afun=Obj
n1
n2 n3
n4
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Example: Valency & Form
1:2 relative clause
to_say: ACT EFF
lemma=say mode=active
afun=AuxC lemma=that
afun=Obj POS=verb
afun=Sbcase=Nom
• linear representation: EFF(that[.v])
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Valency and Text Generation
Using valency for... ...getting the correct (lemma, tag) of verb arguments
Example:
starat_se
PRED
Martin
ACT
tygr
PAT
Martin
....1..........
starat
V..............
o
...............
tygr
....4..........
VALLEX entry: starat (se) ACT(.1) PAT(o.[.4])
se
...............
Martin se stará o tygry.
“Martin takes care of tigers.”
“to take care of”
“tiger”