Work

Apollo at SemEval-2018 Task 9: Detecting Hypernymy Relations Using Syntactic Dependencies

Year: 2018

Type: conference-paper

Abstract: This paper presents the participation of Apollo's team in the SemEval-2018 Task 9 "Hypernym Discovery", Subtask 1: "General-Purpose Hypernym Discovery", which tries to produce a ranked list of hypernyms for a specific term.We propose a novel approach for automatic extraction of hypernymy relations from a corpus by using dependency patterns.The results show that the application of these patterns leads to a higher score than using the traditional lexical patterns.

Source: International Workshop on Semantic Evaluation (SemEval)

DOI: 10.18653/v1/s18-1146

Authors: Mihaela Onofrei, Ionut Hulub, Diana Trandabat, Daniela Gifu

Institutions: Alexandru Ioan Cuza University, Romanian Academy

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Authority for Scientific Research and Innovation, Autoritatea Natională pentru Cercetare Stiintifică, Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii

Awards: G4864199281, G4918298728, G6703262589, G788691142