J99-4002 Extraction rule , which licenses subject extractions from sentential comple - ments
J99-4002 lexical rules . One example is the Subject Extraction rule , which licenses subject
D09-1085 first , in ) prep ( second , in ) Subject extraction from an embedded clause In assigning
D09-1085 say . dobj ( pay , dividends ) Subject extraction from a relative clause It consists
W97-1407 + the auxiliary verb ' ) . 3.2 Subject Extraction Subjects are extracted by matching
D09-1085 extraction from a relative clause and subject extraction from an embedded clause provide
P14-1102 more difficult to comprehend than subject extractions , how - ever , perhaps due to
J07-3004 clauses , as well as pied-piping , subject extraction from embedded sentences and argument
D09-1085 paper written by the professor . Subject extraction from a relative clause is characterised
P87-1011 an obvious problem for cases of subject extraction , a topic which we will not have
P02-1043 94.3 % ( 232/246 ) . Embedded subject extraction requires the special lexical
P03-1046 subject and object control verbs , subject extraction and leftnode raising . All takes
D09-1085 Perhaps not surprisingly , root subject extractions from relative clauses are by
J99-2004 each syntactic environment that Subject Extraction an Noun Phrase companies have
C90-3002 syn.bind.subj <np> \ -RSB- Tlaus , subject extraction from a clausal complement of
P14-1102 part-of-speech tags . As with subject extraction , the model in this paper gets
D11-1115 prefers three categories : one subject extraction category S -LSB- wq -RSB- / (
D09-1085 ( a good or a bad decision ) . Subject extraction from an embedded clause is characterised
P02-1043 score of 96.3 % / 98.8 % P/R for subject extraction and 81.4 % / 59.4 % P/R for other
J89-3010 extraposition with expletive it , and subject extractions from sentential complements .
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