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Comprehensive Annotation of Multiword Expressions in a Social Web - - PowerPoint PPT Presentation

Comprehensive Annotation of Multiword Expressions in a Social Web Corpus Nathan Schneider, Spencer Onuffer, Nora Kazour, Emily Danchik, Michael T . Mordowanec, Henrietta Conrad, Noah A. Smith LREC May 28, 2014 2 CMWE, a text corpus


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Comprehensive Annotation of Multiword Expressions in a Social Web Corpus

Nathan Schneider, Spencer Onuffer, Nora Kazour, Emily Danchik, Michael T . Mordowanec, Henrietta Conrad, Noah A. Smith
 LREC • May 28, 2014

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CMWE, a text corpus comprehensively annotated with multiword expressions

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CMWE, a text corpus comprehensively annotated with multiword expressions

✦ 55k words of English web reviews

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CMWE, a text corpus comprehensively annotated with multiword expressions

✦ 55k words of English web reviews ✴ fully heterogeneous MWEs

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CMWE, a text corpus comprehensively annotated with multiword expressions

✦ 55k words of English web reviews ✴ fully heterogeneous MWEs ✴ shallow groupings, allowing gaps

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CMWE, a text corpus comprehensively annotated with multiword expressions

✦ 55k words of English web reviews ✴ fully heterogeneous MWEs ✴ shallow groupings, allowing gaps ✴ strong vs. weak

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CMWE, a text corpus comprehensively annotated with multiword expressions

✦ 55k words of English web reviews ✴ fully heterogeneous MWEs ✴ shallow groupings, allowing gaps ✴ strong vs. weak tinyurl.com/mwecorpus

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Outline

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Outline

  • multiword expressions
  • annotation process
  • the corpus

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daddy longlegs

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daddy longlegs

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daddy longlegs Noam Chomsky

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Noam Chomsky daddy longlegs

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The aliens will destroy Earth unless we their demands.

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The aliens will destroy Earth unless we accept their demands.

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The aliens will destroy Earth unless we accept agree to accede to yield to give in to their demands.

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The aliens will destroy Earth unless we accept agree to accede to yield to give in to comply with cooperate with go along with their demands.

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  • sdfsf

Jonathan Huang

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  • sdfsf

Jonathan Huang

Noam_Chomsky daddy_longlegs give_in_to

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Noam_Chomsky refused to give_in_to the vicious daddy_longlegs .

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Noam_Chomsky refused to give_in_to the vicious daddy_longlegs .

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Noam_Chomsky refused to give_in_to the vicious daddy_longlegs .

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Noam_Chomsky refused to give_in_to the vicious daddy_longlegs .

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Alan_Black refused to give_in_to the vicious daddy_longlegs . Noam_Chomsky refused to give_in_to the vicious daddy_longlegs .

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Alan_Black refused to give_in_to the vicious daddy_longlegs .

Lexical segmentation

Noam_Chomsky refused to give_in_to the vicious daddy_longlegs .

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Definition

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Definition

  • Multiword expression (MWE): 2 or more
  • rthographic words/lexemes that function

together as an idiomatic whole

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Definition

  • Multiword expression (MWE): 2 or more
  • rthographic words/lexemes that function

together as an idiomatic whole

  • idiomatic = not fully predictable in 


form, function, and/or frequency

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Definition

  • Multiword expression (MWE): 2 or more
  • rthographic words/lexemes that function

together as an idiomatic whole

  • idiomatic = not fully predictable in 


form, function, and/or frequency

  • unusual morphosyntax: Me/*Him neither; 


by and large; plural of daddy longlegs?

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Definition

  • Multiword expression (MWE): 2 or more
  • rthographic words/lexemes that function

together as an idiomatic whole

  • idiomatic = not fully predictable in 


form, function, and/or frequency

  • unusual morphosyntax: Me/*Him neither; 


by and large; plural of daddy longlegs?

  • non- or semi-compositional: 


ice cream, daddy longlegs, pay attention

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Definition

  • Multiword expression (MWE): 2 or more
  • rthographic words/lexemes that function

together as an idiomatic whole

  • idiomatic = not fully predictable in 


form, function, and/or frequency

  • unusual morphosyntax: Me/*Him neither; 


by and large; plural of daddy longlegs?

  • non- or semi-compositional: 


ice cream, daddy longlegs, pay attention

  • statistically collocated:


p(highly unlikely) > p(strongly unlikely)

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Definition

  • Multiword expression (MWE): 2 or more
  • rthographic words/lexemes that function

together as an idiomatic whole

  • idiomatic = not fully predictable in 


form, function, and/or frequency

  • unusual morphosyntax: Me/*Him neither; 


by and large; plural of daddy longlegs?

  • non- or semi-compositional: 


ice cream, daddy longlegs, pay attention

  • statistically collocated:


p(highly unlikely) > p(strongly unlikely)

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Definition

  • Multiword expression (MWE): 2 or more
  • rthographic words/lexemes that function

together as an idiomatic whole

  • idiomatic = not fully predictable in 


form, function, and/or frequency

  • unusual morphosyntax: Me/*Him neither; 


by and large; plural of daddy longlegs?

  • non- or semi-compositional: 


ice cream, daddy longlegs, pay attention

  • statistically collocated:


p(highly unlikely) > p(strongly unlikely)

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SPECIALLY LEARNED

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Challenges

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Challenges

  • Not superficially apparent in text
  • Number/frequency
  • Too many expressions to list all of them
  • Individually rare, but frequent in aggregate
  • Diversity
  • Many different construction types
  • Semantically unrestricted
  • Can be gappy

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Fred Jelinek daddy longlegs, hot dog dry out depend on, come across pay attention (to) put up with, give in (to) under the weather cut and dry in spite of pick up where __ left off easy as pie You’re welcome. To each his own. The structure of this paper is as follows.

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16 Fred Jelinek daddy longlegs, hot dog dry out depend on, come across pay attention (to) put up with, give in (to) under the weather cut and dry in spite of pick up where __ left off easy as pie You’re welcome. To each his own. e structure of this paper is as follows.

pay dry out attention (to) pick up where left off __

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16 Fred Jelinek daddy longlegs, hot dog dry out depend on, come across pay attention (to) put up with, give in (to) under the weather cut and dry in spite of pick up where __ left off easy as pie You’re welcome. To each his own. e structure of this paper is as follows.

pay dry the clothes

  • ut

attention (to) pick up where left off __

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16 Fred Jelinek daddy longlegs, hot dog dry out depend on, come across pay attention (to) put up with, give in (to) under the weather cut and dry in spite of pick up where __ left off easy as pie You’re welcome. To each his own. e structure of this paper is as follows.

pay dry the clothes out attention (to) pick up where left off __

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16 Fred Jelinek daddy longlegs, hot dog dry out depend on, come across pay attention (to) put up with, give in (to) under the weather cut and dry in spite of pick up where __ left off easy as pie You’re welcome. To each his own. e structure of this paper is as follows.

pay dry the clothes out close attention (to) pick up where left off __

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16 Fred Jelinek daddy longlegs, hot dog dry out depend on, come across pay attention (to) put up with, give in (to) under the weather cut and dry in spite of pick up where __ left off easy as pie You’re welcome. To each his own. e structure of this paper is as follows.

pay dry the clothes out close attention (to) pick up where left off __ no attention was paid (to)

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16 Fred Jelinek daddy longlegs, hot dog dry out depend on, come across pay attention (to) put up with, give in (to) under the weather cut and dry in spite of pick up where __ left off easy as pie You’re welcome. To each his own. e structure of this paper is as follows.

pay dry the clothes out close attention (to) they pick up where left off no attention was paid (to)

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Examples

My wife had taken_ her '07_Ford_Fusion _in for a routine oil_change .

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Examples

They gave me the run around and missing paperwork only to call back to tell me someone else wanted her and I would need to come in and put down a deposit .

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Examples

They gave_ me _the_run_around and missing paperwork only to call_back to tell me someone else wanted her and I would need to come_in and put_down~ a ~deposit .

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Examples

They gave_ me _the_run_around and missing paperwork only to call_back to tell me someone else wanted her and I would need to come_in and put_down~ a ~deposit .

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weak MWE (collocation); cf. highly~recommended

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Examples

Among the animals that were available to touch were pony's , camels and EVEN AN OSTRICH !!!

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Examples

Among the animals that were available to touch were pony's , camels and EVEN AN OSTRICH !!!

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No MWEs here. (This sentence is in the minority: 
 57% of all sentences/72% >10 words contain an MWE.)

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The corpus

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The corpus

  • The entire Reviews subsection of the

English Web Treebank (Bies et al. 2012), fully annotated for MWEs

  • 723 reviews
  • 3,800 sentences
  • 55,000 words
  • found 3,500 MWE instances

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The corpus

  • The entire Reviews subsection of the

English Web Treebank (Bies et al. 2012), fully annotated for MWEs

  • 723 reviews
  • 3,800 sentences
  • 55,000 words
  • found 3,500 MWE instances
  • Every sentence: negotiated consensus

between at least 2 annotators

  • IAA between pairs: ~77%

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Other English corpora

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Other English corpora

  • SemCor (Miller et al. 1993)
  • Lexical annotation with WordNet synsets
  • NEs, compound nominals, some phrasal

verbs

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Other English corpora

  • SemCor (Miller et al. 1993)
  • Lexical annotation with WordNet synsets
  • NEs, compound nominals, some phrasal

verbs

  • Prague CEDT (Hajič et al. 2012)
  • NEs, light verb constructions, phrasal

idioms, multiword tlemmas

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Other English corpora

  • SemCor (Miller et al. 1993)
  • Lexical annotation with WordNet synsets
  • NEs, compound nominals, some phrasal

verbs

  • Prague CEDT (Hajič et al. 2012)
  • NEs, light verb constructions, phrasal

idioms, multiword tlemmas

  • Wiki50 (Vincze et al. 2011)
  • NEs, compound nominals, LVCs, VPCs,

phrasal idioms

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CMWE, a text corpus comprehensively annotated with multiword expressions

✦ 55k words of English web reviews ✴ fully heterogeneous MWEs ✴ shallow groupings, allowing gaps ✴ strong vs. weak tinyurl.com/mwecorpus

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Preview: 
 A tool for identifying MWEs in context
 
 (sequence tagging, but with gaps!)


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Preview: 
 A tool for identifying MWEs in context
 
 (sequence tagging, but with gaps!)


  • Discriminative lexical semantic

segmentation with gaps: running the MWE

  • gamut. Nathan Schneider, Emily Danchik,

Chris Dyer, and Noah A. Smith. TACL 2014.

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CMWE, a text corpus comprehensively annotated with multiword expressions

✦ 55k words of English web reviews ✴ fully heterogeneous MWEs ✴ shallow groupings, allowing gaps ✴ strong vs. weak tinyurl.com/mwecorpus

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Many_thanks


(*Several thanks)

  • Thanks_a_million


(*Thanks a thousand)


Thanks_a_lot


(?Lots of thanks)


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POS MWEs pattern contig. gappy most frequent types (lowercased lemmas) and their counts

N_N

331 1 customer service: 31

  • il change: 9

wait staff: 5 garage door: 4

ˆ_ˆ

325 1 santa fe: 4

  • dr. shady: 4

V_P

217 44 work with: 27 deal with: 16 look for: 12 have to: 12 ask for: 8

V_T

149 42 pick up: 15 check out: 10 show up: 9 end up: 6 give up: 5

V_N

31 107 take time: 7 give chance: 5 waste time: 5 have experience: 5

A_N

133 3 front desk: 6 top notch: 6 last minute: 5

V_R

103 30 come in: 12 come out: 8 take in: 7 stop in: 6 call back: 5

D_N

83 1 a lot: 30 a bit: 13 a couple: 9

P_N

67 8

  • n time: 10

in town: 9 in fact: 7

R_R

72 1 at least: 10 at best: 7 as well: 6

  • f course: 5

at all: 5

V_D_N

46 21 take the time: 11 do a job: 8

V~N

7 56 do job: 9 waste time: 4

ˆ_ˆ_ˆ

63 home delivery service: 3 lake forest tots: 3

R~V

49 highly recommend: 43 well spend: 1 pleasantly surprise: 1

P_D_N

33 6

  • ver the phone: 4
  • n the side: 3

at this point: 2

  • n a budget: 2

A_P

39 pleased with: 7 happy with: 6 interested in: 5

P_P

39

  • ut of: 10

due to: 9 because of: 7

V_O

38 thank you: 26 get it: 2 trust me: 2

V_V

8 30 get do: 8 let know: 5 have do: 4

N~N

34 1 channel guide: 2 drug seeker: 2 room key: 1 bus route: 1

A~N

31 hidden gem: 3 great job: 2 physical address: 2 many thanks: 2 great guy: 1

V_N_P

16 15 take care of: 14 have problem with: 5

N_V

18 10 mind blow: 2 test drive: 2 home make: 2

ˆ_$

28 bj s: 2 fraiser ’s: 2 ham s: 2 alan ’s: 2 max ’s: 2

D_A

28 a few: 13 a little: 11

R_P

25 1 all over: 3 even though: 3 instead of: 2 even if: 2