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Semantic Data Set Construction from Human Clustering and Spatial Arrangement
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In: Computational Linguistics, Vol 47, Iss 1, Pp 69-116 (2021) (2021)
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Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 410-428 (2021) (2021)
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Multi-SimLex: A Large-Scale Evaluation of Multilingual and Crosslingual Lexical Semantic Similarity
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In: Computational Linguistics, Vol 46, Iss 4, Pp 847-897 (2020) (2020)
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Improving Multi-Modal Representations Using Image Dispersion: Why Less is Sometimes More
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In: http://aclweb.org/anthology/P/P14/P14-2135.pdf (2014)
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Abstract:
Models that learn semantic representations from both linguistic and perceptual in-put outperform text-only models in many contexts and better reflect human concept acquisition. However, experiments sug-gest that while the inclusion of perceptual input improves representations of certain concepts, it degrades the representations of others. We propose an unsupervised method to determine whether to include perceptual input for a concept, and show that it significantly improves the ability of multi-modal models to learn and represent word meanings. The method relies solely on image data, and can be applied to a va-riety of other NLP tasks. 1
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.653.1698
http://aclweb.org/anthology/P/P14/P14-2135.pdf
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| 5 |
Author manuscript, published in "COLING 2012, Mumbai: India (2012)" Multi-way Tensor Factorization for Unsupervised Lexical Acquisition
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In: http://hal.inria.fr/docs/00/78/37/11/PDF/VandeCruysEtAl2012Multi.pdf (2013)
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Learning syntactic verb frames using graphical models
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In: http://www.cl.cam.ac.uk/~do242/Papers/acl12_verb_frames.pdf (2012)
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Author manuscript, published in "Empirical Methods in Natural Language Processing, France (2011)" Latent Vector Weighting for Word Meaning in Context
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In: http://halshs.archives-ouvertes.fr/docs/00/66/64/75/PDF/D11-1094_3_.pdf (2012)
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| 8 |
Statistical metaphor processing
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In: http://wing.comp.nus.edu.sg/~antho/J/J13/J13-2003.pdf (2012)
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| 9 |
Learning syntactic verb frames using graphical models
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In: http://www.aclweb.org/anthology-new/P/P12/P12-1044.pdf (2012)
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| 10 |
Multi-way tensor factorization for unsupervised lexical acquisition
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In: http://aclweb.org/anthology/C/C12/C12-1165.pdf (2012)
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| 11 |
Document and corpus level inference for unsupervised and transductive learning of information structure of scientic documents
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In: http://aclweb.org/anthology/C/C12/C12-2097.pdf (2012)
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| 12 |
Exploring variation across biomedical subdomains
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In: http://www.cl.cam.ac.uk/~do242/Papers/coling10_domain_final.pdf (2010)
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| 13 |
Investigating the cross-linguistic potential of VerbNet-style classification
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In: http://halshs.archives-ouvertes.fr/docs/00/53/90/36/PDF/report-camera-ready.pdf (2010)
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| 14 |
Exploring variation across biomedical subdomains
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In: http://aclweb.org/anthology/C/C10/C10-1078.pdf (2010)
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| 15 |
LexSchem: A large subcategorization lexicon for French verbs
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In: http://lipn.univ-paris13.fr/~messiant/publications/messiant-lrec08.pdf (2008)
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| 16 |
A large-scale classification of English verbs
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In: http://verbs.colorado.edu/~kipper/Papers/lrec-journal.pdf (2008)
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| 17 |
The choice of features for classification of verbs in biomedical texts
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In: http://www.aclweb.org/anthology-new/C/C08/C08-1057.pdf (2008)
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Verb class discovery from rich syntactic data
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In: http://www.cl.cam.ac.uk/users/alk23/cicling-08.pdf (2008)
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| 19 |
Verb class discovery from rich syntactic data
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In: http://www.cl.cam.ac.uk/%7Els418/works/cicling08.pdf (2008)
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| 20 |
Automatic classification of verbs in biomedical texts
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In: http://www.cl.cam.ac.uk/users/alk23/korhonen-acl-06.pdf (2006)
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