This paper describes the second edition of the shared task on Taxonomy Extraction Evaluation organised as part of SemEval 2016. This task aims to extract hypernym-hyponym relations between a given list of domain-specific terms and then to construct a domain taxonomy based on them. TExEval-2 introduced a multilingual setting for this task, covering four different languages including English, Dutch, Italian and French from domains as diverse as environment, food and science. A total of 62 runs submitted by 5 different teams were evaluated using structural measures, by comparison with gold standard taxonomies and by manual quality assessment of novel relations.Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289 (INSIGHT)peer-r...
HypoTerm is a data-driven semantic relation finder that starts from a list of automatically extracte...
HypoTerm is a data-driven semantic relation finder that starts from a list of automatically extracte...
We introduce ExTaSem!, a novel approach for the automatic learning of lexical taxonomies from domain...
This paper describes the first shared task on Taxonomy Extraction Evaluation organised as part of Se...
This paper describes the first shared task on Taxonomy Extraction Evaluation organised as part of Se...
This paper describes the first shared task on Taxonomy Extraction Evaluation organ-ised as part of S...
We present a system for taxonomy construction that reached the first place in all subtasks of the Se...
We present a system for taxonomy construction that reached the first place in all subtasks of the Se...
Semantic taxonomies are powerful tools that provide structured knowledge to Natural Language Process...
This paper describes our system created for the SemEval 2022 Task 3: Presupposed Taxonomies - Evalua...
This paper describes our system created for the SemEval 2022 Task 3: Presupposed Taxonomies - Evalua...
International audienceGiven a set of terms from a given domain, how can we structure them into a tax...
International audienceGiven a set of terms from a given domain, how can we structure them into a tax...
International audienceGiven a set of terms from a given domain, how can we structure them into a tax...
International audienceGiven a set of terms from a given domain, how can we structure them into a tax...
HypoTerm is a data-driven semantic relation finder that starts from a list of automatically extracte...
HypoTerm is a data-driven semantic relation finder that starts from a list of automatically extracte...
We introduce ExTaSem!, a novel approach for the automatic learning of lexical taxonomies from domain...
This paper describes the first shared task on Taxonomy Extraction Evaluation organised as part of Se...
This paper describes the first shared task on Taxonomy Extraction Evaluation organised as part of Se...
This paper describes the first shared task on Taxonomy Extraction Evaluation organ-ised as part of S...
We present a system for taxonomy construction that reached the first place in all subtasks of the Se...
We present a system for taxonomy construction that reached the first place in all subtasks of the Se...
Semantic taxonomies are powerful tools that provide structured knowledge to Natural Language Process...
This paper describes our system created for the SemEval 2022 Task 3: Presupposed Taxonomies - Evalua...
This paper describes our system created for the SemEval 2022 Task 3: Presupposed Taxonomies - Evalua...
International audienceGiven a set of terms from a given domain, how can we structure them into a tax...
International audienceGiven a set of terms from a given domain, how can we structure them into a tax...
International audienceGiven a set of terms from a given domain, how can we structure them into a tax...
International audienceGiven a set of terms from a given domain, how can we structure them into a tax...
HypoTerm is a data-driven semantic relation finder that starts from a list of automatically extracte...
HypoTerm is a data-driven semantic relation finder that starts from a list of automatically extracte...
We introduce ExTaSem!, a novel approach for the automatic learning of lexical taxonomies from domain...