[PDF] Top 20 Automatic Selectional Preference Acquisition for Latin Verbs
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Automatic Selectional Preference Acquisition for Latin Verbs
... for Latin are concerned, parsing experiments with machine learning tech- niques are ongoing (Bamman and Crane, 2008; Passarotti and Ruffolo, forthcoming), although more work is still needed in this direction, ... See full document
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Disambiguating Nouns, Verbs, and Adjectives Using Automatically Acquired Selectional Preferences
... We therefore examined our disambiguation results to see if there was any pattern in the predicates or arguments that were easily disambiguated themselves or were good disambiguators of the co-occurring word. No ... See full document
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SP 10K: A Large scale Evaluation Set for Selectional Preference Acquisition
... 10,000 selectional triplets consisting of 2,500 frequent verbs, nouns, and adjectives in American ...SP acquisition methods using SP-10K and compare the capac- ity of the state-of-the-art ... See full document
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A Comparison of Selectional Preference Models for Automatic Verb Classification
... We use only one clustering algorithm and one purity metric, because our prior work shows that the most important choices for verb clustering are the distance measure used, and how verbs are rep- resented. These ... See full document
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Modeling Context sensitive Selectional Preference with Distributed Representations
... Selectional Preference (SP) of predicates is a term denoting a bias in co-occurrence of a predicate and its ...resolution, automatic acquisition of SP knowledge has persisted as a popular ... See full document
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Calculating Selectional Preferences of Transitive Verbs in Korean
... an automatic way, which fa- cilitates applying the whole procedure to the future work that deals with other resources or other rela- tional pairs ...(e.g. verbs and ... See full document
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Modeling Selectional Preferences of Verbs and Nouns in String to Tree Machine Translation
... a selectional preference feature for string-to-tree statistical machine translation based on the selectional association measure of Resnik ...improves automatic evaluation metrics. We conclude ... See full document
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Towards Spanish Verbs’ Selectional Preferences Automatic Acquisition: Semantic Annotation of the SenSem Corpus
... annotate verbs in WordNet, we intend to broaden sense distinctions and to perform synset clusterization for nouns, with the ultimate goal of arriving at a more evolved and task-efficient version of Spanish ... See full document
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A Neural Network Approach to Selectional Preference Acquisition
... tional preference induction based on Latent Dirich- let Allocation, which model the selectional pref- erence of a predicate and a single ...a selectional pref- erence model based on topic modeling, ... See full document
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Multiplex Word Embeddings for Selectional Preference Acquisition
... word co-occurrence patterns, resulting in a ma- jor limitation that they coalesce different relation- ships between words into a single vector space. To address this limitation, dependency-based embed- ding model (Levy ... See full document
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Modeling the Acquisition of Mental State Verbs
... We construct the input-generation lexicon by list- ing each of the 28 verbs (i.e. the ‘main predicate’), along with its overall frequency, as well as the fre- quency with which it appears with each argument ... See full document
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A Subcategorization Acquisition System for French Verbs
... the automatic acquisition of subcategorization frames since mid 1990s (Brent, 1993; Briscoe and Carroll, ...German verbs from a lexicalized ...for verbs but also for nouns and adjectives ... See full document
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Discriminative Learning of Selectional Preference from Unlabeled Text
... Discriminative techniques are widely used in NLP and have been applied to the related tasks of word prediction and language modeling. Even-Zohar and Roth (2000) use a classifier to predict the most likely word to fill a ... See full document
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Discovering Asymmetric Entailment Relations between Verbs Using Selectional Preferences
... class-based selectional preference ac- quisition, corpora can be used to estimate these particular kinds of ...class-based selectional preference win(x) → human(x) (since John McEnroe is a ... See full document
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A Non negative Tensor Factorization Model for Selectional Preference Induction
... Distributional similarity methods have proven to be a valuable tool for the in- duction of semantic similarity. Up till now, most algorithms use two-way co- occurrence data to compute the mean- ing of words. ... See full document
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Fully Unsupervised Core Adjunct Argument Classification
... Distinguishing between the two argument types has been discussed extensively in various formu- lations in the NLP literature, notably in PP attach- ment, semantic role labeling (SRL) and subcatego- rization ... See full document
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Exploiting Web Derived Selectional Preference to Improve Statistical Dependency Parsing
... Several previous studies have exploited the web- scale data for word pair acquisition. Keller and Lapata (2003) evaluated the utility of using web search engine statistics for unseen bigram. Nakov and Hearst ... See full document
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Domain Adaptation of a Dependency Parser with a Class Class Selectional Preference Model
... of selectional preferences based on domain- specific word ...domain-specific Selectional Preference model in the target domain using un-annotated ...the selectional preferences ...The ... See full document
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A Random Walk Approach to Selectional Preferences Based on Preference Ranking and Propagation
... This paper presents an unsupervised ran- dom walk approach to alleviate data spar- sity for selectional preferences. Based on the measure of preferences between predi- cates and arguments, the model aggregates all ... See full document
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Subcategorization Acquisition and Evaluation for Chinese Verbs
... the acquisition results of 20 verbs with multi syntactic patterns against manual gold standard; the other checked the performance of the lexicon when applied in a PCFG ... See full document
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