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Emerging linguistic universals in communicating neural network agents ; Les universaux linguistiques émergeant dans les réseaux de neurones communicants
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In: https://hal.inria.fr/tel-03536320 ; Cognitive science. Ecole doctorale cerveau-cognition comportement (ED3C), 2021. English (2021)
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Don’t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors
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In: http://aclweb.org/anthology/P/P14/P14-1023.pdf (2014)
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Don’t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors
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In: http://clic.cimec.unitn.it/marco/publications/acl2014/baroni-etal-countpredict-acl2014.pdf (2014)
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Compositional-ly derived representations of morphologically complex words in distributional semantics
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In: http://aclweb.org/anthology/P/P13/P13-1149.pdf (2013)
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Frege in Space: A Program for Compositional Distributional Semantics
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In: http://clic.cimec.unitn.it/composes/materials/frege-in-space.pdf (2013)
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Entailment above the word level in distributional semantics
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In: http://clic.cimec.unitn.it/marco/publications/bbds-eacl2012.pdf (2012)
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Distributional Semantics with Eyes: Using Image Analysis to Improve Computational Representations of Word Meaning
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In: http://clic.cimec.unitn.it/marco/publications/bruni-etal-acmmm-2012.pdf (2012)
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Stereotypical gender actions can be extracted from Web text ∗
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In: http://clic.cimec.unitn.it/marco/publications/herdagdelen-baroni-2011-jasist-preprint.pdf (2011)
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Nouns are vectors, adjectives are matrices: Representing adjective-noun constructions in semantic space
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In: http://clic.cimec.unitn.it/marco/publications/bz-adj-com-emnlp10.pdf (2010)
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Distributional Memory: A General Framework for Corpus-Based Semantics
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In: http://wing.comp.nus.edu.sg/~antho/J/J10/J10-4006.pdf (2010)
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| 11 |
The WaCky Wide Web: A collection of very large linguistically processed webcrawled corpora. Language Resources and Evaluation
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In: http://clic.cimec.unitn.it/marco/publications/wacky-lrej.pdf (2009)
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| 13 |
Concepts and properties in word spaces
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In: http://clic.cimec.unitn.it/marco/publications/IJL_baroni-lenci.pdf (2008)
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| 14 |
The task Research questions Inducing relation type from properties and patterns Experimental procedure Results
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In: http://clic.cimec.unitn.it/marco/publications/pcompla08pres.pdf (2008)
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Introducing and evaluating ukwac, a very large web-derived corpus of english
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In: http://clic.cimec.unitn.it/marco/publications/lrec2008/lrec08-ukwac.pdf (2008)
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Words and echoes: Assessing and mitigating the non-randomness problem in word frequency distribution modeling
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In: http://purl.org/stefan.evert/PUB/BaroniEvert2007.pdf (2007)
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The zipfR package for lexical statistics: A
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In: http://zipfr.r-forge.r-project.org/materials/zipfr-tutorial.pdf (2006)
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Measuring web corpus randomness: A progress report
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In: http://sslmit.unibo.it/~baroni/publications/cb_wac_5.pdf (2006)
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Large linguistically-processed Web corpora for multiple languages
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In: http://sslmit.unibo.it/~baroni/publications/eacl2006/dewac_eacl.pdf (2006)
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Abstract:
The Web contains vast amounts of linguistic data. One key issue for linguists and language technologists is how to access it. Commercial search engines give highly compromised access. An alternative is to crawl the Web ourselves, which also allows us to remove duplicates and nearduplicates, navigational material, and a range of other kinds of non-linguistic matter. We can also tokenize, lemmatise and part-of-speech tag the corpus, and load the data into a corpus query tool which supports sophisticated linguistic queries. We have now done this for German and Italian, with corpus sizes of over 1 billion words in each case. We provide Web access to the corpora in our query tool, the Sketch Engine. 1
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.80.6868
http://sslmit.unibo.it/~baroni/publications/eacl2006/dewac_eacl.pdf
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1 Introduction 39 Distributions in text
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In: http://sslmit.unibo.it/~baroni/publications/hsk_39_dist_rev2.pdf (2006)
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