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QASSIT at SemEval-2016 Task 13: On the integration of Semantic Vectors in Pretopological Spaces for Lexical Taxonomy Acquisition

Guillaume Cleuziou, Jose G. Moreno
2016 Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)  
This year, we propose the combination of recent semantic vectors representation into a methodology for semisupervised and auto-supervised acquisition of lexical taxonomies from raw texts.  ...  This paper presents our participation to the Se-mEval "Task 13: Taxonomy Extraction Evaluation (TExEval-2)" (Bordea et al., 2016) .  ...  LPS learning process Pretopological Spaces for Lexical Taxonomy Acquisition We used the learning pretopological spaces framework (LPS) proposed in our previous participation in the TExEval task and fully  ... 
doi:10.18653/v1/s16-1205 dblp:conf/semeval/CleuziouM16 fatcat:flzasxrvqfe3zkcdxlaen7y2qu

SemEval-2016 Task 13: Taxonomy Extraction Evaluation (TExEval-2)

Georgeta Bordea, Els Lefever, Paul Buitelaar
2016 Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)  
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.  ...  QASSIT A semi-supervised methodology is used for the acquisition of lexical taxonomies based on genetic algorithms (Cleuziou and Moreno, 2016).  ... 
doi:10.18653/v1/s16-1168 dblp:conf/semeval/BordeaLB16 fatcat:ynxhifit65grrngoouqyovxyve

A framework for enriching lexical semantic resources with distributional semantics

CHRIS BIEMANN, STEFANO FARALLI, ALEXANDER PANCHENKO, SIMONE PAOLO PONZETTO
2018 Natural Language Engineering  
Additionally, we show the benefits of enriching top-down lexical knowledge resources with bottom-up distributional information from text for addressing high-end knowledge acquisition tasks such as cleaning  ...  Manual evaluations against ground-truth judgments for different stages of our method as well as an extrinsic evaluation on a knowledge-based Word Sense Disambiguation benchmark all indicate the high quality  ...  of the unmapped PCZ senses produced in the third experiment (see Section 6.4).  ... 
doi:10.1017/s135132491700047x fatcat:z6acyjpzpvduzjvzmrrsddity4