NPNP
Publications (166)

1Morphological Analysis Can Improve a CCG Parser for Englishfrom a rightward NP to and a leftward NP to a sentence, (S\NP)/NP . The grammar consists of a few schematic rules to combine...

2WideCoverage Semantic Representations from a CCG Parsera year to maintain NP S NP VP VP VP NP NP NP NP NP VP NP conj NP NP VP NP it λpλx could ...

3Towards a Syntactic Account of Punctuation1996  Bernard E M Jonesabbreviated to their categories, as in. ( i )  (3). (1) \[NP \[NP the following\] : \] ==~ \[Ne = NP :\] (2) \[S \[PP In...

4Weakly Supervised Supertagging with GrammarInformed Initialization2008  Jason Baldridgea priori to see the category sequence (S\NP)/NP NP/N than the sequence S/S NP\NP. Given the categories for a word, this i...

5Levels Of Representation In Natural Language Based Information Systems And Their Relation To The Methodology Of Computational Linguistics1980  G. ZIFONUNived categor ies of NL S/NP/ . . . /NP category of mary verbs I J m times ON/NP/ . . . /NP category of common noun...

6Typeinheritance Combinatory Categorial Grammar2004  John Beaversslash operators. For example, eat is assigned category (S NP) NP, i.e. eat is a function from an NP to its right to a function...

7A Simple Transformation for OfflineParsable Grammars and its Termination Properties1994  Mare Dymetmanc))}, g(co.~p(c')) !. s(s(NP, VP)) + np(NP), vp(VP) g(s(s(NP, VP))) * g(np(NP)), g(vp(VP)) g(X) ~ g(y), ( {X =...

8A Syntactic TimeSeries Model for Parsing Fluent and Disfluent Speech2008  Tim Miller,William Schulerthe information about the error that has occurred — the ‘NP → NP PPUNF’ rule. Thus, by the time the error section is completed...

9An NPCluster Based Approach to Coreference Resolutiondata set shows that our approach outperforms the baseline NPNP based approach in both recall and precision. 1 Introduction...

10Normalform parsing for Combinatory Categorial Grammars with generalized composition and typeraising2010  Julia Hockenmaier,Yonatan Biskstructures are equally possible. the man that John saw NP (NP\NP)/(S/NP) NP (S\NP)/NP >T S/(S\NP) >B1 S/NP >B0 NP\NP