Work

IIIT at SemEval-2016 Task 11: Complex Word Identification using Nearest Centroid Classification

Year: 2016

Type: conference-paper

Abstract: This paper describes the system that was submitted to SemEval2016 Task 11: Complex Word Identification.It presents a preliminary investigation into exploring word difficulty for non-native English speakers.We developed two systems using Nearest Centroid Classification technique to distinguish complex words from simple words.Optimized over G-score, the presented solution obtained a G-score of 0.67, while the winner achieved a G-score of 0.77 and the average G-score of all the submitted systems in the task was 0.56.

Source: International Workshop on Semantic Evaluation (SemEval)

DOI: 10.18653/v1/s16-1158

Authors: Ashish Palakurthi, Radhika Mamidi

Institution: International Institute of Information Technology, Hyderabad

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W2467800307

FWCI: 0.359

Cites: 12

Cited by: 5

Related to: 10