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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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Abstract:
AbstractWe introduce Multi-SimLex, a large-scale lexical resource and evaluation benchmark covering data sets for 12 typologically diverse languages, including major languages (e.g., Mandarin Chinese, Spanish, Russian) as well as less-resourced ones (e.g., Welsh, Kiswahili). Each language data set is annotated for the lexical relation of semantic similarity and contains 1,888 semantically aligned concept pairs, providing a representative coverage of word classes (nouns, verbs, adjectives, adverbs), frequency ranks, similarity intervals, lexical fields, and concreteness levels. Additionally, owing to the alignment of concepts across languages, we provide a suite of 66 crosslingual semantic similarity data sets. Because of its extensive size and language coverage, Multi-SimLex provides entirely novel opportunities for experimental evaluation and analysis. On its monolingual and crosslingual benchmarks, we evaluate and analyze a wide array of recent state-of-the-art monolingual and crosslingual representation models, including static and contextualized word embeddings (such as fastText, monolingual and multilingual BERT, XLM), externally informed lexical representations, as well as fully unsupervised and (weakly) supervised crosslingual word embeddings. We also present a step-by-step data set creation protocol for creating consistent, Multi-Simlex–style resources for additional languages. We make these contributions—the public release of Multi-SimLex data sets, their creation protocol, strong baseline results, and in-depth analyses which can be helpful in guiding future developments in multilingual lexical semantics and representation learning—available via a Web site that will encourage community effort in further expansion of Multi-Simlex to many more languages. Such a large-scale semantic resource could inspire significant further advances in NLP across languages.
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Keyword:
Computational linguistics. Natural language processing; P98-98.5
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URL: https://doi.org/10.1162/coli_a_00391
https://doaj.org/article/a595d1a87fd94f09bc70cc541cae6669
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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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| 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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| 6 |
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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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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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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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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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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| 18 |
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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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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