WSD system

otherentity ID: wsdsystem

Related Papers

Dutch Word Sense Disambiguation: Data and Preliminary Results

Authors: nan

Publication: TIPSTER (2001)

DOI: nan

We describe the Dutch word sense disambigua- tion data submitted to SENSEVAL-2, and give preliminary results on the data using a WSD system based on memory-based learning and statistical keyword …...

20132

The University of Alicante Word Sense Disambiguation System

Authors: nan

Publication: TIPSTER (2001)

DOI: nan

The WSD system presented at SENSEVAL-2 uses a knowledge-based method for noun dis- ambiguation and a corpus-based method for verbs and adjectives. The methods are, respec- tively, Specification Marks and …...

20080

Towards Robust High Performance Word Sense Disambiguation of English Verbs Using Rich Linguistic Features

Authors: nan

Publication: TIPSTER (2005)

DOI: nan

. This paper shows that our WSD system using rich linguistic features achieved high accuracy in the classification of English SENSEVAL2 verbs for both fine-grained (64.6%) and coarse-grained (73.7%) senses. …...

12979

SemEval-2007 Task 01: Evaluating WSD on Cross-Language Information Retrieval

Authors: nan

Publication: TIPSTER (2007)

DOI: nan

This paper presents a first attempt of an application-driven evaluation exercise of WSD. We used a CLIR testbed from the Cross Lingual Evaluation Forum. The ex- pansion, indexing and retrieval …...

23561

UPV-WSD : Combining different WSD Methods by means of Fuzzy Borda Voting

Authors: nan

Publication: TIPSTER (2007)

DOI: nan

This paper describes the WSD system devel- oped for our participation to the SemEval-1. It combines various methods by means of a fuzzy Borda voting. The fuzzy Borda vote- counting …...

23129

The Effect of Ambiguity on the Automated Acquisition of WSD Examples

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

Several methods for automatically gen- erating labeled examples that can be used as training data for WSD systems have been proposed, including a semi- supervised approach based on relevance feedback …...

23837