Prepositional Phrase Attachment
5 papers with code • 0 benchmarks • 0 datasets
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Latest papers with no code
Revisiting the Prepositional-Phrase Attachment Problem Using Explicit Commonsense Knowledge
We revisit the challenging problem of resolving prepositional-phrase (PP) attachment ambiguity.
Grounded PCFG Induction with Images
Recent work in unsupervised parsing has tried to incorporate visual information into learning, but results suggest that these models need linguistic bias to compete against models that only rely on text.
Using the Web as an Implicit Training Set: Application to Noun Compound Syntax and Semantics
I address noun compound semantics by automatically generating paraphrasing verbs and prepositions that make explicit the hidden semantic relations between the nouns in a noun compound.
SuperNMT: Neural Machine Translation with Semantic Supersenses and Syntactic Supertags
In this paper we incorporate semantic supersensetags and syntactic supertag features into EN{--}FR and EN{--}DE factored NMT systems.
Madly Ambiguous: A Game for Learning about Structural Ambiguity and Why It's Hard for Computers
Madly Ambiguous is an open source, online game aimed at teaching audiences of all ages about structural ambiguity and why it{'}s hard for computers.
Prepositional Phrase Attachment over Word Embedding Products
We present a low-rank multi-linear model for the task of solving prepositional phrase attachment ambiguity (PP task).
Correcting prepositional phrase attachments using multimodal corpora
PP-attachments are an important source of errors in parsing natural language.
