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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  
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  ...  non-hybrid approaches in a general English hypernym discovery task.  ...  ., 2018) 8 Our simple hybrid model outperforms all systems in the competition on the general English hypernym discovery task except for CRIM.  ... 
doi:10.18653/v1/p19-1327 dblp:conf/acl/HeldH19 fatcat:brn65n6nwncnrbyniecye27qh4

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.  ...  Acknowledgments This research was conducted while both authors were affiliated with the Computer Research Institute of Montréal (CRIM), and was supported by the Natural Sciences and Engineering Research  ... 
doi:10.18653/v1/s18-1116 dblp:conf/semeval/Bernier-Colborne18 fatcat:iep5gqlqenfdhoykjhmd3uybpi

Fully-Unsupervised Embeddings-Based Hypernym Discovery

Maurizio Atzori, Simone Balloccu
2020 Information  
We also evaluate the algorithm on a new dataset to measure the improvements when finding hypernyms for sets of words instead of singletons.  ...  words if provided, allowing to find common hypernyms for a set of co-hyponyms—a task ignored in other systems but very useful when coupled with set expansion (that finds co-hyponyms automatically).  ...  Extraction Component The hypernym discovery task requires finding a set of candidates who could be hypernym for a given hyponym.  ... 
doi:10.3390/info11050268 fatcat:rck4yyygubemvg2wysfj2lr2ti

Clustering User Preferences Using W-kmeans

Christos Bouras, Vassilis Tsogkas
2011 2011 Seventh International Conference on Signal Image Technology & Internet-Based Systems  
We also investigate the effects this approach has on the recommendation engine by evaluating the overall performance it has in terms of precision -recall on our online recommendation system.  ...  Although commonly only document clustering is suggested by Web mining techniques for recommendation systems, one of the various tasks of personalized recommendation is categorization of Web users.  ...  ACKNOWLEDGMENT This research has been co-financed by the European Union (European Social Fund -ESF) and Greek national funds through the Operational Program "Education and Lifelong Learning" of the National  ... 
doi:10.1109/sitis.2011.19 dblp:conf/sitis/BourasT11 fatcat:zj2ovrwms5g5nccrqtzh5zzxwy

Improving Cross-Lingual Word Embeddings by Meeting in the Middle [article]

Yerai Doval, Jose Camacho-Collados, Luis Espinosa-Anke, Steven Schockaert
2018 arXiv   pre-print
This is in contrast to the original alignment, which is typically learned such that the structure of the monolingual spaces is preserved.  ...  By applying this transformation our aim is to obtain a better cross-lingual integration of the vector spaces.  ...  hypernym discovery.  ... 
arXiv:1808.08780v1 fatcat:dyu5wvilkzeupbrnwtkwfujweu

Pruning and repopulating a lexical taxonomy: experiments in Spanish, English and French

Rogelio Nazar, Antonio Balvet, Gabriela Ferraro, Rafael Marín, Irene Renau
2020 Journal of Intelligent Systems  
The second task consists of recursively producing a chain of hypernyms for a given noun, until the most general node in the taxonomy is reached (e.g. brie → cheese → food → etc.).  ...  The first task consists of revising the entire taxonomy and returning a Boolean for each assertion of hypernymy between two nouns (e.g. brie is a kind of cheese).  ...  The second one is Project Fondecyt Regular 1191481 "Inducción automática de taxonomías de marcadores discursivos a partir de corpus multilingües" (Automatic induction of taxonomies of discourse markers  ... 
doi:10.1515/jisys-2020-0044 fatcat:i53p6x63izevxf6ewkuzz5l5jm

Improving Cross-Lingual Word Embeddings by Meeting in the Middle

Yerai Doval, Jose Camacho-Collados, Luis Espinosa-Anke, Steven Schockaert
2018 Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing  
This is in contrast to the original alignment, which is typically learned such that the structure of the monolingual spaces is preserved.  ...  By applying this transformation our aim is to obtain a better cross-lingual integration of the vector spaces.  ...  Acknowledgments Yerai Doval is supported by the Spanish Ministry of Economy, Industry and Competitiveness (MINECO) through projects FFI2014-51978-C2-2-R, TIN201785160C21-R and TIN201785160C22-R; the Spanish  ... 
doi:10.18653/v1/d18-1027 dblp:conf/emnlp/DovalCAS18 fatcat:5il7j6e4orh3bfe4umpksuuepi

Towards Robust Text Classification with Semantics-Aware Recurrent Neural Architecture

Blaž Škrlj, Jan Kralj, Nada Lavrač, Senja Pollak
2019 Machine Learning and Knowledge Extraction  
We test the effectiveness of the approach on three text classification tasks: news topic categorization, sentiment analysis and gender profiling.  ...  This paper presents an efficient semantic text mining approach, which converts semantic information related to a given set of documents into a set of novel features that are used for learning.  ...  Acknowledgments: The GPU used for this research was donated by the NVIDIA Corporation. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/make1020034 fatcat:o6bjp46cljdj3kng2kxsfvvzei

Improving Distributed Semantic Search with Hybrid Topology and Peer Recommendation [chapter]

Juan Li
2009 Studies in Computational Intelligence  
In this paper, we propose a novel framework for discovery Semantic Web data in large-scale distributed networks.  ...  Recommendation from peers of the same community is employed to extract only semantically related results thus improving the precision.  ...  Compared to search in pure structured P2P systems, our hybrid search system has inherent support for complex semantic query or partial match; in addition, the retrieved results are more relevant.  ... 
doi:10.1007/978-3-642-01209-9_8 fatcat:xqpa7x5qgbbv5aq32zqaf4wuuq

Discovery of novel biomarkers and phenotypes by semantic technologies

Carlo A Trugenberger, Christoph Wälti, David Peregrim, Mark E Sharp, Svetlana Bureeva
2013 BMC Bioinformatics  
However, there is an even larger source of valuable information available that can potentially be tapped for such discoveries: repositories constituted by research documents.  ...  More and more, the discovery of relevant biomarkers is aided by in silico techniques based on applying data mining and computational chemistry on large molecular databases.  ...  Acknowledgements The authors wish to thank Matthew Wiener, Matthew Walker, Paul Ziegler, and Guochun Xie of Merck Research Labs for helpful comments on manuscript drafts.  ... 
doi:10.1186/1471-2105-14-51 pmid:23402646 pmcid:PMC3605201 fatcat:abn5vckzqjbbtpk7jao2lx7a5m

Discovery of Novel Biomarkers by Text Mining: A New Avenue for Drug Research?

Carlo A Trugenberger David Peregrim
2013 Journal of Molecular Biomarkers & Diagnosis  
The reported text mining approach to biomarker discovery shows much promise and has the potential to be developed into a new avenue for pharmaceutical research, especially to shorten time-to-market of  ...  While numerical methods for the analysis of structured data like those in genomics and proteomics databases are well developed and standard toolboxes are easily available, knowledge discovery from unstructured  ...  The top scoring hypernym of the cross-terms is selected as the "constructed hypernym" for the unknown term (Table 1 ).  ... 
doi:10.4172/2155-9929.s3-004 fatcat:2nllv7vyvvb3xebqpewfokv3ne

Classification of Linked Data Sources Using Semantic Scoring

Semih YUMUSAK, Erdogan DOGDU, Halife KODAZ
2018 IEICE transactions on information and systems  
The query execution is therefore costly, and knowing the content of data in such datasets should help in targeted querying.  ...  Linked data sets are created using semantic Web technologies and they are usually big and the number of such datasets is growing.  ...  Above all, SPARQL endpoints are used as an entry point for most of the linked data sources, usually with a simple web page as a user interface for SPARQL querying.  ... 
doi:10.1587/transinf.2017swp0011 fatcat:a5fczlmq2bbyjc2gph3q62t7m4

Web-based extraction of semantic relation instances for terminology work [chapter]

Jakob Halskov, Caroline Barrière
2010 Benjamins Current Topics  
The WWW is used for knowledge pattern (KP) discovery, KP filtering and relation instance discovery.  ...  The system is tested with the help of the biomedical UMLS Metathesaurus for four different relation types and is manually evaluated by four domain experts.  ...  In particular, assessing the correctness of system proposals for positive effects of selenium seemed to cause the experts considerable trouble.  ... 
doi:10.1075/bct.23.02hal fatcat:ckytf5nz3fcr3dxocjur3lxhwa

Effectiveness of Lexico-syntactic Pattern Matching for Ontology Enrichment with Clinical Documents

K. Liu, W. W. Chapman, G. Savova, C. G. Chute, N. Sioutos, R. S. Crowley
2010 Methods of Information in Medicine  
Conclusion-The LSP matching method is an effective method for concept and concept relationship discovery in biomedical domains.  ...  Objective-To evaluate the effectiveness of a Lexico-Syntactic Pattern (LSP) matching method for ontology enrichment using clinical documents.  ...  Acknowledgments The authors wish to thank Karma Lisa Edwards and Lucy Cafeo of the University of Pittsburgh for editorial assistance, and Kevin Mitchell for expert technical help. We thank Dr.  ... 
doi:10.3414/me10-01-0020 pmid:21057720 pmcid:PMC3125434 fatcat:bdow3usvu5hvvph73qcnrh54p4

Bridging the demand and the offer in data science

Adam S.Z. Belloum, Spiros Koulouzis, Tomasz Wiktorski, Andrea Manieri
2019 Concurrency and Computation  
discovery using hypernym-hyponym relations included in online dictionaries.  ...  During the relation discovery, we first build non-hierarchical relations, and with the use of hypernym-hypernym relations, we build hierarchical relations within each cluster.  ... 
doi:10.1002/cpe.5200 fatcat:ttxeochxknbzrnhhvgadf6leda
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