International audienceGiven a set of terms from a given domain, how can we structure them into a taxonomy without manual intervention? This is the task 17 of SemEval 2015. Here we present our simple taxonomy structuring techniques which, despite their simplicity, ranked first in this 2015 benchmark. We use large quantities of text (English Wikipedia) and simple heuristics such as term overlap and document and sentence co-occurrence to produce hypernym lists. We describe these techniques and pre-sent an initial evaluation of results
We propose a novel, semi-supervised approach towards domain taxonomy induction from an input vocabul...
Comunicació presentada al 12th International Workshop on Semantic Evaluation (SemEval-2018), celebra...
University of Minnesota M.S. thesis.July 2018. Major: Computer Science. Advisor: Ted Pedersen. 1 com...
International audienceGiven a set of terms from a given domain, how can we structure them into a tax...
This paper describes the system submitted by the TALN-UPF team to SEMEVAL Task 17 (Taxonomy Extracti...
This paper describes the system submitted by the TALN-UPF team to SEMEVAL Task 17 (Taxonomy Extracti...
This paper describes the first shared task on Taxonomy Extraction Evaluation organised as part of Se...
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 organ-ised as part of S...
We introduce ExTaSem!, a novel approach for the automatic learning of lexical taxonomies from domain...
Comunicació presentada a la 16th International Conference, (CICLing) celebrada del 14 al 20 d'abril...
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...
This paper describes the second edition of the shared task on Taxonomy Extraction Evaluation organis...
Semantic taxonomies are powerful tools that provide structured knowledge to Natural Language Process...
We propose a novel, semi-supervised approach towards domain taxonomy induction from an input vocabul...
Comunicació presentada al 12th International Workshop on Semantic Evaluation (SemEval-2018), celebra...
University of Minnesota M.S. thesis.July 2018. Major: Computer Science. Advisor: Ted Pedersen. 1 com...
International audienceGiven a set of terms from a given domain, how can we structure them into a tax...
This paper describes the system submitted by the TALN-UPF team to SEMEVAL Task 17 (Taxonomy Extracti...
This paper describes the system submitted by the TALN-UPF team to SEMEVAL Task 17 (Taxonomy Extracti...
This paper describes the first shared task on Taxonomy Extraction Evaluation organised as part of Se...
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 organ-ised as part of S...
We introduce ExTaSem!, a novel approach for the automatic learning of lexical taxonomies from domain...
Comunicació presentada a la 16th International Conference, (CICLing) celebrada del 14 al 20 d'abril...
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...
This paper describes the second edition of the shared task on Taxonomy Extraction Evaluation organis...
Semantic taxonomies are powerful tools that provide structured knowledge to Natural Language Process...
We propose a novel, semi-supervised approach towards domain taxonomy induction from an input vocabul...
Comunicació presentada al 12th International Workshop on Semantic Evaluation (SemEval-2018), celebra...
University of Minnesota M.S. thesis.July 2018. Major: Computer Science. Advisor: Ted Pedersen. 1 com...