A framework for enriching lexical semantic resources with distributional semantics

A Framework for Enriching Lexical Semantic Resources with Distributional Semantics

We present an approach to combining distributional semantic representations induced from text corpora with manually constructed lexical-semantic networks. While both kinds of semantic resources are available with high lexical coverage, our aligned resource combines the domain specificity and availability of contextual information from distributional models with the conciseness and high quality ...

Enriching Lexical Transfer With Cross - Linguistic Semantic

Distributional Lexical Semantics for Stop Lists

In this paper, we consider the use of techniques that lead naturally towards using distributional lexical semantics for the automatic construction of corpora-specific stop word lists. We propose and evaluate a method for calculating stop words based on collocation, frequency information and comparisons of distributions within and across samples. This method is tested against the Enron email cor...

Lexical Resources for Semantics Extraction

In this paper, we report our work on the creation of a number of lexical resources that are crucial for an interlingua based MT from English to other languages. These lexical resources are in the form of sub-categorization frames, verb knowledge bases and rule templates for establishing semantic relations and speech act like attributes. We have created these resources over a long period of time...

Enriching Frame Semantic Resources with Dependency Graphs

We propose two general and robust methods for enriching resources annotated in the Frame Semantic paradigm with syntactic dependency graphs, which can provide useful additional information for applications such as semantic role labeling methods. One method incorporates information of a dependency parser, while the other one assumes the resource to be based on a treebank and uses dependency grap...