[PDF] Top 20 Prepositional Phrase Attachment over Word Embedding Products
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Prepositional Phrase Attachment over Word Embedding Products
... Using tensors to represent products of elementary vectors has been a recent trend in NLP. Because most tasks in NLP benefit from exploiting con- junctions of elementary features, tensor models offer the ... See full document
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Prepositional Phrase Attachment Problem Revisited: how Verbnet can Help
... extensively used for developing metrics and procedures for determining the relatedness/similarity of lex- ical concepts. The task of identifying whether and how given words are related has many applications in natural ... See full document
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Simple Semi Supervised Learning for Prepositional Phrase Attachment
... (2007). Prepositional phrase attachment may be one area where lexicalized models are especially ...of word senses as features, taking after Stetina and Nagao (1997), might result in better ... See full document
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Ontology Aware Token Embeddings for Prepositional Phrase Attachment
... The word types soapsuds and buoyancy do not occur in the training data, but OntoLSTM-PP was able to leverage the parame- ters learned for the synsets that contributed to their token ...the word type ... See full document
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Towards Semi-Automated Annotation for Prepositional Phrase Attachment
... sitional phrase {P, N2} is attached to either V or ...PP- attachment task that presumes the presence of an oracle to extract the two hypothesized structures for attachment (At- terer and Sch¨utze, ... See full document
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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
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An Unsupervised Approach to Prepositional Phrase Attachment using Contextually Similar Words
... to prepositional phrase attachment that outperforms previous unsupervised techniques and approaches the performance of supervised ...The attachment decision for a 4-tuple (V, N 1 , P, N 2 ) is ... See full document
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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
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Rule based Approach for Prepositional Phrase Attachment in English Tamil Translation
... the Word Sense ambiguation problem may arise. To resolve the Word Sense Ambiguation problem and word reordering, an algorithm called “prepositional attachment algorithm” is ...overcome ... See full document
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Disambiguating prepositional phrase attachment sites with sense information captured in contextualized distributional data
... a Word Sense Dis- ambiguation (WSD) ...the attachment decision, it does not need to be explicitly present within the ...proper word sense decisions for PP-attachment disam- biguation, and ... See full document
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Squibs: Prepositional Phrase Attachment without Oracles
... In bilexical mode, we trained and tested the parser as before except that RRR-sent was used instead of RRR-based artificial sentences. In trilexical mode, we first trained a parser and ran it on the test data to identify ... See full document
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Thesauruses for Prepositional Phrase Attachment
... Quadruples and triples are more reliable since the con- text rules out those unhelpful PPs. For example, our model automatically deals with polysemous words with- out the need for explicit word sense ... See full document
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Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment
... Enriching word vectors A substantial body of work has demonstrated that multiple features can help in disambiguating PP attachments (Section ...enrich word vectors with addi- tional knowledge resources ... See full document
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The Notion of Argument in Prepositional Phrase Attachment
... statistics over semantic classes of verbs to smooth a distribution of subcategorization frames and then applies a simple frequency cutoff to select the most reliable subcategorization ...using word classes ... See full document
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Using Word Sketches to Resolve Prepositional Phrase Attachment Ambiguity in Arabic
... (PP) attachment ambiguity wherein the PP can be attached to the preceding verb (high attachment) or the noun (low attachment) is a challenging problem in Arabic natural language processing [1, 2, 3, ... See full document
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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
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Prepositional Phrase Attachment in Shallow Parsing
... recognition, word sense disambiguation, and machine translation when moving from the source domain to the new target ...PP attachment systems trained on the ... See full document
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The Effect of Corpus Size in Combining Supervised and Unsupervised Training for Disambiguation
... subj<buy john<subj<buy”. All words, de- pendencies and partial dependencies of a sen- tence are stored together as one document. This storage mechanism enables fast on-line queries for lexical and dependency ... See full document
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A Rule Based and MT Oriented Approach to Prepositional Phrase Attachment
... A Rule Based and MT Oriented Approach to Prepositional Phrase Attachment A R u l e B a s e d a n d M T O r i e n t e d A p p r o a c h t o 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 K u[.] ... See full document
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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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