In this paper, we study how complementary two approaches of different nature are when identifying hypernym relations on a structured corpus containing both well ...
Oct 21, 2024 · Extracting hypernym relations from Wikipedia disambiguation pages : comparing symbolic and machine learning approaches. Download PDF · Open ...
In this paper, we study how complementary two approaches of different nature are when identifying hypernym relations on a structured corpus containing both well ...
Extracting hypernym relations from Wikipedia disambiguation pages : comparing symbolic and machine learning approaches. WS 2017 · Mouna Kamel, Cassia Trojahn ...
Bibliographic details on Extracting hypernym relations from Wikipedia disambiguation pages : comparing symbolic and machine learning approaches.
The aim of this paper is to study the behaviour of a supervised learning approach to extract hypernym relations whatever the way they are expressed.
Missing: comparing symbolic
Extracting hypernym relations from Wikipedia disambiguation pages : comparing symbolic and machine learning approaches (2017) Kamel, Mouna and Trojahn ...
Extracting hypernym relations from Wikipedia disambiguation pages : comparing symbolic and machine learning approaches · Hypernym extraction from Wikipedia.
Oct 26, 2024 · The aim of this paper is to study the behaviour of a supervised learning approach to extract hypernym relations whatever the way they are ...
Extracting hypernym relations from Wikipedia disambiguation pages : comparing symbolic and machine learning approaches (2017) Kamel, Mouna and Trojahn ...