A Random Walk Approach to Selectional Preferences Based on Preference Ranking and Propagation
نویسندگان
چکیده
This paper presents an unsupervised random walk approach to alleviate data sparsity for selectional preferences. Based on the measure of preferences between predicates and arguments, the model aggregates all the transitions from a given predicate to its nearby predicates, and propagates their argument preferences as the given predicate’s smoothed preferences. Experimental results show that this approach outperforms several state-of-the-art methods on the pseudo-disambiguation task, and it better correlates with human plausibility judgements.
منابع مشابه
A Hybrid Approach to Deriving Selectional Preferences
A hybrid approach to automatic derivation of class-based selectional preferences is proposed. A lexicon of selectional preferences can assist in handling several forms of ambiguity, a major problem for MT. The approach combines knowledge-rich parsing and lexicons, with statistics and corpus data. We illustrate the use of a selectional preference lexicon for anaphora resolution.
متن کاملThe Impact of Selectional Preference Agreement on Semantic Relational Similarity
Relational similarity is essential to analogical reasoning. Automatically determining the degree to which a pair of words belongs to a semantic relation (relational similarity) is greatly improved by considering the selectional preferences of the relation. To determine selectional preferences, we induced semantic classes through a Latent Dirichlet Allocation (LDA) method that operates on depend...
متن کاملPresenting a Model for Female Customers Behavioral Preferences in selecting Banks based on Grounded Theory Method and Structural Equation Modeling (Case Study: Iran’s Banking Industry)
The customers ’preference is derived from reflection on a product or special commercial brand, and factors such as positive appraisal of a brand performance and holding advantages and being unique, establishes the preference. This study aimed to develop a model of female customers' preferences in selecting banks and to train senior managers and banking staff. It had an applied objective, adopte...
متن کاملExploiting Web-Derived Selectional Preference to Improve Statistical Dependency Parsing
In this paper, we present a novel approach which incorporates the web-derived selectional preferences to improve statistical dependency parsing. Conventional selectional preference learning methods have usually focused on word-to-class relations, e.g., a verb selects as its subject a given nominal class. This paper extends previous work to wordto-word selectional preferences by using webscale d...
متن کاملDetecting novel metaphor using selectional preference information
Recent work on metaphor processing often employs selectional preference information. We present a comparison of different approaches to the modelling of selectional preferences, based on various ways of generalizing over corpus frequencies. We evaluate on the VU Amsterdam Metaphor corpus, a broad corpus of metaphor. We find that using only selectional preference information is enough to outperf...
متن کامل