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[PDF] Top 20 A Knowledge Intensive Model for Prepositional Phrase Attachment

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A Knowledge Intensive Model for Prepositional Phrase Attachment

A Knowledge Intensive Model for Prepositional Phrase Attachment

... PP attachment based on corpus co-occurrence statistics, gathered either from manually annotated training data (Collins and Brooks, 1995; Brill and Resnik, 1994) or from automatically acquired training data that ... See full document

11

Prepositional Phrase Attachment over Word Embedding Products

Prepositional Phrase Attachment over Word Embedding Products

... as our tensor product model running with three different word embeddings. Two of the repre- sentative systems we list are the back-off model by Collins and Brooks (1999), and the neural model by ... See full document

12

Ontology Aware Token Embeddings for Prepositional Phrase Attachment

Ontology Aware Token Embeddings for Prepositional Phrase Attachment

... tal flaw in this design is their inability to distin- guish between different meanings and abstractions of the same word. In the two sentences shown above, the word ‘pool’ has different meanings, but the same ... See full document

10

Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment

Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment

... tional knowledge resources (Section ...our model performs comparably to an SVM with access to all enriching features (Table ...our model outperforms the SVM by a margin of ... See full document

12

Prepositional Phrase Attachment Problem Revisited: how Verbnet can Help

Prepositional Phrase Attachment Problem Revisited: how Verbnet can Help

... semantic knowledge into the pars- ing process, in particular, one has to take into account selectional restrictions (Katz and Fodor, 1963) — the semantic, common-sense restrictions that a word imposes on the ... See full document

11

Rule based Approach for Prepositional Phrase Attachment in English Tamil Translation

Rule based Approach for Prepositional Phrase Attachment in English Tamil Translation

... The language has been playing a major role in all the sectors. For the purpose of communicating with the world wide people, and accessing scientific resources in the major field the language knowledge is needed. ... See full document

5

A Statistical Decision Making Method: A Case Study on Prepositional Phrase Attachment

A Statistical Decision Making Method: A Case Study on Prepositional Phrase Attachment

... The Model Switch- ing method as proposed in this paper can be used with any utility function decision criterion for any decision problem with categorical d a t a that can be represented [r] ... See full document

10

A Comparison of Machine Learning Algorithms for Prepositional Phrase Attachment

A Comparison of Machine Learning Algorithms for Prepositional Phrase Attachment

... Minimal Attachment account for more than 55% of cases — the actual attachment ratio depends on the corpus — and work by Taraban and McClel- land (1990) showed that these structural models are poor ... See full document

6

Leveraging a Semantically Annotated Corpus to Disambiguate Prepositional Phrase Attachment

Leveraging a Semantically Annotated Corpus to Disambiguate Prepositional Phrase Attachment

... LDA model generates pairs of lemmas, representing the two arguments of a semantic relation, and can be trained, in an unsupervised manner, on a corpus anno- tated with semantic ...of prepositional ... See full document

11

Using Word Sketches to Resolve Prepositional Phrase Attachment Ambiguity in Arabic

Using Word Sketches to Resolve Prepositional Phrase Attachment Ambiguity in Arabic

... between PP and the preceding noun and verb to which the PP can be bound. There approach achieved above 80% performance which is reasonably good. In [19], the authors used a heuristic-based approach in which different ... See full document

6

Simple Semi Supervised Learning for Prepositional Phrase Attachment

Simple Semi Supervised Learning for Prepositional Phrase Attachment

... our model in §5.2 makes each attachment decision independently, and in this example from the WSJ development test set, incorrectly attaches both on refund and at 5 percent to the ...our model of §5.3 ... See full document

11

The Notion of Argument in Prepositional Phrase Attachment

The Notion of Argument in Prepositional Phrase Attachment

... More recently, Villavicencio (2002) has explored the performance of an argu- ment identifier, developed in the framework of a model of child language learning. Villavicencio concentrates on locative PPs proposing ... See full document

38

Thesauruses for Prepositional Phrase Attachment

Thesauruses for Prepositional Phrase Attachment

... solving prepositional phrase attachment am- biguity, but sparse data remains a significant ...PP attachment model and we obtain significant improvements over the ... See full document

8

Disambiguating prepositional phrase attachment sites with sense information captured in contextualized distributional data

Disambiguating prepositional phrase attachment sites with sense information captured in contextualized distributional data

... obtain attachment decisions for each of the extracted ...entropy model achieved ...same attachment site as the site indicated in that sentence’s parse tree, divided by the total number of ... See full document

7

Statistical Models for Unsupervised Prepositional Phrase Attachment

Statistical Models for Unsupervised Prepositional Phrase Attachment

... Heuristic Extraction of Unambiguous Cases Given a tagged and chunked sentence, the extraction heuristic returns head word tuples of the form v,p, n2 or n,p, n2, where v is the verb, n is[r] ... See full document

7

Statistical Models for Unsupervised Prepositional Phrase Attachment

Statistical Models for Unsupervised Prepositional Phrase Attachment

... Statistical Models for Unsupervised Prepositional Phrase Attachment S t a t i s t i c a l M o d e l s for U n s u p e r v i s e d P r e p o s i t i o n a l P h r a s e A t t a c h m e n t A d w a i t[.] ... See full document

7

A Maximum Entropy Model for Prepositional Phrase Attachment

A Maximum Entropy Model for Prepositional Phrase Attachment

... A Maximum Entropy Model for Prepositional Phrase Attachment A Maximum Entropy Model for Prepositional Phrase Attachment A d w a i t R a t n a p a r k h i , J e f f Reynar,* a n d S a l i m R o u k o s[.] ... See full document

6

An Unsupervised Approach to Prepositional Phrase Attachment using Contextually Similar Words

An Unsupervised Approach to Prepositional Phrase Attachment using Contextually Similar Words

... For each input sentence, Minipar outputs a single dependency tree. For a sentence containing one or more prepositions, we use a program to detect any alternative prepositional attachment sites. For example, ... See full document

8

PP Attachment: A Committee Machine Approach

PP Attachment: A Committee Machine Approach

... [Brill, Resnick 1994] A Rule-Based Approach to Prepositional Phrase Attachment Disambigua- tion.. In Proceedings of the Fifteenth Interna- tional Conferences on Computational Linguis- ti[r] ... See full document

8

Disambiguating Prepositional Phrase Attachments by Using On Line Dictionary Definitions

Disambiguating Prepositional Phrase Attachments by Using On Line Dictionary Definitions

... Karen Jensen and Jean-Louis Binot Disambiguating Prepositional Phrase Attachment.. The value of the BASE attribute of that record can then be taken as argument for the link checking mech[r] ... See full document

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