Hypernym-LIBre ( DOI: 10.5281/zenodo.3662204 ) is a free Web-based corpus for Hypernym detection. Its part-of-speech tagged and dependency annotated version is present at this: (DOI: 10.5281/zenodo.3689303) Here we provide the hypernym-hyponym pairs that were extracted from Hypernym-LIBre using Hearst patterns. This is to further the usage of these extractions with more techniques and methods. We also provide the counts of each pattern in a separate file. Format: hyponym \t hypernym Format for the counts file: pair \t frequency of extraction There are 2 files, one with the pairs, one with unique pair and its counts. Both total ~430MB
Identifying semantic relations in natural language text is an important component of many knowledge ...
Many of the tasks in computational linguistics, such as information retrieval, document classificati...
25th Signal Processing and Communications Applications Conference, SIU 2017 -- 15 May 2017 through 1...
The task of finding hypernyms from large text corpora is a fundamental problem in NLP. It provides a...
The list of hyponym-hypernym pairs was obtained by applying lexical-syntactic patterns described in ...
Comunicació presentada a la 16th International Conference, (CICLing) celebrada del 14 al 20 d'abril...
Comunicació presentada a la 16th International Conference, (CICLing) celebrada del 14 al 20 d'abril...
Abstract Hypernym discovery is challenging because it aims to find suitable instances for a given hy...
© 2020 ABBYY PRODUCTION LLC. All rights reserved. This paper describes a combined approach to hypern...
International audienceAbstract Patterns have been extensively used to extract hypernym relations fro...
International audienceAbstract Patterns have been extensively used to extract hypernym relations fro...
Hypernymy relations (those where an hyponym term shares a "isa" relationship with his hypernym) play...
We compare two processing methods for a single natural language processing task. One uses a treebank...
We compare two different types of extraction patterns for automatically deriving semantic informatio...
Identifying semantic relations in natural language text is an important component of many knowledge ...
Identifying semantic relations in natural language text is an important component of many knowledge ...
Many of the tasks in computational linguistics, such as information retrieval, document classificati...
25th Signal Processing and Communications Applications Conference, SIU 2017 -- 15 May 2017 through 1...
The task of finding hypernyms from large text corpora is a fundamental problem in NLP. It provides a...
The list of hyponym-hypernym pairs was obtained by applying lexical-syntactic patterns described in ...
Comunicació presentada a la 16th International Conference, (CICLing) celebrada del 14 al 20 d'abril...
Comunicació presentada a la 16th International Conference, (CICLing) celebrada del 14 al 20 d'abril...
Abstract Hypernym discovery is challenging because it aims to find suitable instances for a given hy...
© 2020 ABBYY PRODUCTION LLC. All rights reserved. This paper describes a combined approach to hypern...
International audienceAbstract Patterns have been extensively used to extract hypernym relations fro...
International audienceAbstract Patterns have been extensively used to extract hypernym relations fro...
Hypernymy relations (those where an hyponym term shares a "isa" relationship with his hypernym) play...
We compare two processing methods for a single natural language processing task. One uses a treebank...
We compare two different types of extraction patterns for automatically deriving semantic informatio...
Identifying semantic relations in natural language text is an important component of many knowledge ...
Identifying semantic relations in natural language text is an important component of many knowledge ...
Many of the tasks in computational linguistics, such as information retrieval, document classificati...
25th Signal Processing and Communications Applications Conference, SIU 2017 -- 15 May 2017 through 1...