The Role of Conceptual Relations in Word Sense Disambiguation

Understanding the role of conceptual relations in Word Sense Disambiguation

In this article, we concentrate in conceptual relations as a source of information for Word Sense Disambiguation (WSD) systems. We start with a review the most relevant research in the field, then we implement our own algorithm. As a starting point we have chosen the conceptual density algorithm of Agirre and Rigau. We generalize the original algorithm, parameterizing many aspects. This new alg...

Exploiting Semantic Role Resources for Preposition Disambiguation

This article describes how semantic role resources can be exploited for preposition disambiguation. The main resources include the semantic role annotations provided by the Penn Treebank and FrameNet tagged corpora. The resources also include the assertions contained in the Factotum knowledge base, as well as information from Cyc and Conceptual Graphs. A common inventory is derived from these i...

Conceptual Vectors and Fuzzy Templates for Discriminating Hyperonymy (is-a) and Meronymy (part-of) relations

Hierarchy building from dictionaries and free texts is often viewed as an application of NLP for domain modeling. The reversal (i.e. building and using such hierarchy for Word Sense Disambiguation) is also definitively useful in NLP. Indeed, we do observe that, even in very specialized texts, polysemous terms as well as blurring linguistic phenomena like metonymy or metaphor are frequent. Conce...

The Role of Conceptual Relation in Word Sense Disambiguation

رفع ابهام معنایی واژگان مبهم فارسی با مدل موضوعی LDA

Word sense disambiguation is the task of identifying the correct sense for the word in a given context among a finite set of possible sense. In this paper a model for farsi word sense disambiguation is presented. The model use two group of features: first, all word and stop words around target word and topic models as second features. We extract topics from a farsi corpus with Latent Dirichlet ...