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SemEval-2018 Task 9: Hypernym Discovery

Jose Camacho-Collados, Claudio Delli Bovi, Luis Espinosa Anke, Sergio Oramas, Tommaso Pasini, Enrico Santus, Vered Shwartz, Roberto Navigli, Horacio Saggion
2018 Proceedings of The 12th International Workshop on Semantic Evaluation  
This paper describes the SemEval 2018 Shared Task on Hypernym Discovery.  ...  Instead, our reformulated task is defined as follows: given an input term, retrieve (or discover) its suitable hypernyms from a target corpus.  ...  We would also like to thank the task participants who provided helpful inputs to improve the task through their comments in the Google Group.  ... 
doi:10.18653/v1/s18-1115 dblp:conf/semeval/Camacho-Collados18 fatcat:dnh3mfuwy5hlrjwlpa7g3pwjbu

CRIM at SemEval-2018 Task 9: A Hybrid Approach to Hypernym Discovery

Gabriel Bernier-Colborne, Caroline Barriere
2018 Proceedings of The 12th International Workshop on Semantic Evaluation  
This report describes the system developed by the CRIM team for the hypernym discovery task at SemEval 2018.  ...  This system exploits a combination of supervised projection learning and unsupervised pattern-based hypernym discovery. It was ranked first on the 3 sub-tasks for which we submitted results.  ...  Introduction The goal of the hypernym discovery task at Sem-Eval 2018 is to predict the hypernyms of a query given a large vocabulary of candidate hypernyms.  ... 
doi:10.18653/v1/s18-1116 dblp:conf/semeval/Bernier-Colborne18 fatcat:iep5gqlqenfdhoykjhmd3uybpi

SJTU-NLP at SemEval-2018 Task 9: Neural Hypernym Discovery with Term Embeddings [article]

Zhuosheng Zhang, Jiangtong Li, Hai Zhao, Bingjie Tang
2018 arXiv   pre-print
This paper describes a hypernym discovery system for our participation in the SemEval-2018 Task 9, which aims to discover the best (set of) candidate hypernyms for input concepts or entities, given the  ...  We introduce a neural network architecture for the concerned task and empirically study various neural network models to build the representations in latent space for words and phrases.  ...  The hypernym discovery task (Camacho-Collados et al., 2018) aims to discover the most appropriate hypernym(s) for input concepts or entities from a pre-defined corpus.  ... 
arXiv:1805.10465v1 fatcat:vvm5jspgo5gxlauq362f4v4wty

SJTU-NLP at SemEval-2018 Task 9: Neural Hypernym Discovery with Term Embeddings

Zhuosheng Zhang, Jiangtong Li, Hai Zhao, Bingjie Tang
2018 Proceedings of The 12th International Workshop on Semantic Evaluation  
This paper describes a hypernym discovery system for our participation in the SemEval-2018 Task 9, which aims to discover the best (set of) candidate hypernyms for input concepts or entities, given the  ...  We introduce a neural network architecture for the concerned task and empirically study various neural network models to build the representations in latent space for words and phrases.  ...  The hypernym discovery task (Camacho-Collados et al., 2018) aims to discover the most appropriate hypernym(s) for input concepts or entities from a pre-defined corpus.  ... 
doi:10.18653/v1/s18-1147 dblp:conf/semeval/ZhangLZT18 fatcat:4jurvetikzdqpfqji4mzqwwmlm

UMDuluth-CS8761 at SemEval-2018 Task 9: Hypernym Discovery using Hearst Patterns, Co-occurrence frequencies and Word Embeddings [article]

Arshia Z. Hassan and Manikya S. Vallabhajosyula and Ted Pedersen
2018 arXiv   pre-print
Hypernym Discovery is the task of identifying potential hypernyms for a given term. A hypernym is a more generalized word that is super-ordinate to more specific words.  ...  Our system Babbage participated in Subtask 1A for English and placed 6th of 19 systems when identifying concept hypernyms, and 12th of 18 systems for entity hypernyms.  ...  The objective of SemEval-2018 Task 9 (Camacho-Collados et al., 2018) is to generate a ranked list of hypernyms when given an input hyponym and a vocabulary of candidate hypernyms.  ... 
arXiv:1805.10271v1 fatcat:65g576gphvdqtja56weprguuom

ADAPT at SemEval-2018 Task 9: Skip-Gram Word Embeddings for Unsupervised Hypernym Discovery in Specialised Corpora

Alfredo Maldonado, Filip Klubička
2018 Proceedings of The 12th International Workshop on Semantic Evaluation  
This paper describes a simple but competitive unsupervised system for hypernym discovery. The system uses skip-gram word embeddings with negative sampling, trained on specialised corpora.  ...  Candidate hypernyms for an input word are predicted based on cosine similarity scores.  ...  Introduction The SemEval-2018 shared task on Hypernymy Discovery sought to study approaches for identifying words that hold a hypernymic relation (Camacho-Collados et al., 2018) .  ... 
doi:10.18653/v1/s18-1151 dblp:conf/semeval/MaldonadoK18 fatcat:e6vhi252h5cvlnkvyfjmg6vnym

Apollo at SemEval-2018 Task 9: Detecting Hypernymy Relations Using Syntactic Dependencies

Mihaela Onofrei, Ionut Hulub, Diana Trandabat, Daniela Gifu
2018 Proceedings of The 12th International Workshop on Semantic Evaluation  
This paper presents the participation of Apollo's team in the SemEval-2018 Task 9 "Hypernym Discovery", Subtask 1: "General-Purpose Hypernym Discovery", which tries to produce a ranked list of hypernyms  ...  National Authority for Scientific Research and Innovation, UEFISCDI, project number PN-III-P2-2.1-BG-2016-0390, contract 126BG/2016 and project number PN-III-P1-1.2-PCCDI-2017-0818, contract 73PCCDI/2018  ...  Introduction This paper presents the Apollo team's system for hypernym discovery which participated in task 9 of Semeval 2018 (Camacho-Collados et al., 2018) based on unsupervised machine learning.  ... 
doi:10.18653/v1/s18-1146 dblp:conf/semeval/Plamada-Onofrei18 fatcat:rxh3jwlmpjbh5f53qlnxbt7xm4

Fully-Unsupervised Embeddings-Based Hypernym Discovery

Maurizio Atzori, Simone Balloccu
2020 Information  
We then evaluate HyperRank against the SemEval 2018 Hypernym Discovery task and show that, regardless of the language or domain, our algorithm significantly outperforms all the existing unsupervised algorithms  ...  This paper we addresses Hypernym Discovery, the NLP task that aims at finding valid hypernyms from words in a given text, proposing HyperRank, an unsupervised approach that therefore does not require manually-labeled  ...  When evaluating our approach we compare ourselves with all the systems who took part in SemEval 2018 Hypernym Discovery task.  ... 
doi:10.3390/info11050268 fatcat:rck4yyygubemvg2wysfj2lr2ti

Document Structure Measure for Hypernym discovery [article]

Aswin Kannan, Shanmukha C Guttula, Balaji Ganesan, Hima P Karanam, Arun Kumar
2018 arXiv   pre-print
Hypernym discovery is the problem of finding terms that have is-a relationship with a given term.  ...  We introduce a new context type, and a relatedness measure to differentiate hypernyms from other types of semantic relationships.  ...  Data Pre-processing We worked on the following two sub-tasks in the SemEval 2018 Hypernym Discovery Task 9: • Music • Medical The corpus data provided by SemEval for each subtask is unstructured data  ... 
arXiv:1811.12728v1 fatcat:a57mk7jedbgm7ptefwfcemrlqe

The Effectiveness of Simple Hybrid Systems for Hypernym Discovery

William Held, Nizar Habash
2019 Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics  
non-hybrid approaches in a general English hypernym discovery task.  ...  Even with a simple methodology for each individual system, utilizing a hybrid approach establishes new stateof-the-art results on two domain-specific English hypernym discovery tasks and outperforms all  ...  We evaluate this model on the English sub-tasks of SemEval 2018 Task 9 for Hypernym Discovery.  ... 
doi:10.18653/v1/p19-1327 dblp:conf/acl/HeldH19 fatcat:brn65n6nwncnrbyniecye27qh4

HyperBox: A Supervised Approach for Hypernym Discovery using Box Embeddings [article]

Maulik Parmar, Dr. Apurva Narayan
2022 arXiv   pre-print
For this task, we use the dataset published for SemEval 2018 Shared Task on Hypernym Discovery. We compare the performance of our model on two specific domains of knowledge: medical and music.  ...  We present a novel model HyperBox to learn box embeddings for hypernym discovery. Given an input term, HyperBox retrieves its suitable hypernym from a target corpus.  ...  ., 2014) for the task of hypernym discovery.  ... 
arXiv:2204.02058v2 fatcat:ezzgv42vw5guhnsntd3wtv4xfa

UMDuluth-CS8761 at SemEval-2018 Task9: Hypernym Discovery using Hearst Patterns, Co-occurrence frequencies and Word Embeddings

Arshia Zernab Hassan, Manikya Swathi Vallabhajosyula, Ted Pedersen
2018 Proceedings of The 12th International Workshop on Semantic Evaluation  
Hypernym Discovery is the task of identifying potential hypernyms for a given term. A hypernym is a more generalized word that is super-ordinate to more specific words.  ...  Our system Babbage participated in Subtask 1A for English and placed 6th of 19 systems when identifying concept hypernyms, and 12th of 18 systems for entity hypernyms.  ...  The objective of SemEval-2018 Task 9 (Camacho-Collados et al., 2018) is to generate a ranked list of hypernyms when given an input hyponym and a vocabulary of candidate hypernyms.  ... 
doi:10.18653/v1/s18-1149 dblp:conf/semeval/HassanVP18 fatcat:jp6pudo6cng3ddd46udnpyaqee

RUSSE'2020: Findings of the First Taxonomy Enrichment Task for the Russian language [article]

Irina Nikishina and Varvara Logacheva and Alexander Panchenko and Natalia Loukachevitch
2020 arXiv   pre-print
The participants were asked to extend an existing taxonomy with previously unseen words: for each new word their systems should provide a ranked list of possible (candidate) hypernyms.  ...  In comparison to the previous tasks for other languages, our competition has a more realistic task setting: new words were provided without definitions.  ...  We thank Dmitry Ustalov for updating the RUSSE web site with the information about the current shared task.  ... 
arXiv:2005.11176v1 fatcat:4pcpb5icpjfbzgmjqgcjd66qgu

Hypernym Detection Using Strict Partial Order Networks [article]

Sarthak Dash, Md Faisal Mahbub Chowdhury, Alfio Gliozzo, Nandana Mihindukulasooriya, Nicolas Rodolfo Fauceglia
2019 arXiv   pre-print
An extensive evaluation over eleven benchmarks across different tasks shows that SPON consistently either outperforms or attains the state of the art on all but one of these benchmarks.  ...  Benchmarks We used the benchmark of SemEval 2018 Task on Hypernym Discovery.  ...  2018 General-purpose hypernym discovery task.  ... 
arXiv:1909.10572v2 fatcat:rinjqpjecffgrc22oic6kswlhm

Hypernym Detection Using Strict Partial Order Networks

Sarthak Dash, Md Faisal Mahbub Chowdhury, Alfio Gliozzo, Nandana Mihindukulasooriya, Nicolas Rodolfo Fauceglia
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
An extensive evaluation over eleven benchmarks across different tasks shows that SPON consistently either outperforms or attains the state of the art on all but one of these benchmarks.  ...  Benchmarks We used the benchmark of SemEval 2018 Task on Hypernym Discovery.  ...  2018 General-purpose hypernym discovery task.  ... 
doi:10.1609/aaai.v34i05.6263 fatcat:cj52zpiapbh6pem6cmobuiehyq
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