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SemEval-2013 task 4: Free paraphrases of noun compounds. Nakov
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In: http://www.aclweb.org/anthology/S/S13/S13-2025.pdf (2013)
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Semeval-2013 task 4: Free paraphrases of noun compounds
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In: https://www.cs.york.ac.uk/semeval-2013/accepted/92_Paper.pdf (2013)
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Hierarchical approach to emotion recognition and classification in texts
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In: http://www.site.uottawa.ca/~diana/publications/DimanCanadianAI2010.pdf (2010)
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Semeval-2 task 9: The interpretation of noun compounds using paraphrasing verbs and prepositions
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In: http://afflatus.ucd.ie/Papers/semeval2nc.pdf (2010)
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Semeval-2 task 9: The interpretation of noun compounds using paraphrasing verbs and prepositions
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In: http://afflatus.ucd.ie/Papers/sew2009paraphrase.pdf (2010)
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The Same Semantic Relations Link Structurally Different Realizations of Concepts
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In: http://elanguage.net/journals/lilt/article/download/215/159/ (2009)
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SemEval Task 9: The Interpretation of Noun Compounds Using Paraphrasing Verbs and Prepositions
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In: http://www.aclweb.org/anthology/S/S10/S10-1007.pdf (2009)
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Using the web as a linguistic resource to automatically correct lexico-syntactic errors
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In: http://www.lrec-conf.org/proceedings/lrec2008/pdf/220_paper.pdf (2008)
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Abstract:
This paper presents an algorithm for correcting language errors typical of second-language learners. We focus on preposition errors, which are very common among second-language learners but are not addressed well by current commercial grammar correctors and editing aids. The algorithm takes as input a sentence containing a preposition error (and possibly other errors as well), and outputs the correct preposition for that particular sentence context. We use a two-phase hybrid rule-based and statistical approach. In the first phase, rule-based processing is used to generate a short expression that captures the context of use of the preposition in the input sentence. In the second phase, Web searches are used to evaluate the frequency of this expression, when alternative prepositions are used instead of the original one. We tested this algorithm on a corpus of 133 French sentences written by intermediate second-language learners, and found that it could address 69.9 % of those cases. In contrast, we found that the best French grammar and spell checker currently on the market, Antidote, addressed only 3 % of those cases. We also showed that performance degrades gracefully when using a corpus of frequent n-grams to evaluate frequencies. 1.
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.676.9482
http://www.lrec-conf.org/proceedings/lrec2008/pdf/220_paper.pdf
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Using Roget’s Thesaurus for Fine-grained Emotion Recognition
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In: http://aclweb.org/anthology/I/I08/I08-1041.pdf (2008)
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SemEval-2007 task 04: Classification of semantic relations between nominals
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In: http://www.cs.berkeley.edu/~nakov/selected_papers_list/semeval2007_task4.pdf (2007)
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SemEval-2007 task 04: Classification of semantic relations between nominals
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In: http://acl.ldc.upenn.edu/W/W07/W07-2003.pdf (2007)
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S.: Learning noun-modifier semantic relations with corpus-based and wordnet-based features
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In: http://www.aaai.org/Papers/AAAI/2006/AAAI06-124.pdf (2006)
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Learning noun-modifier semantic relations with corpus-based and wordnet-based features
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In: http://www.h-its.org/english/homes/nastase/Publications/AAAI0613NastaseV.pdf (2006)
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Comparative Analysis of Text Data in Successful Face-to-Face and Electronic Negotiations", Group Decision and Negotiations, to appear in 2006,15 pages. Book chapters
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In: http://www.site.uottawa.ca/~mshah/Papers/Mohak/GDN_06.pdf (2004)
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Not as Easy as It Seems: Automating the Construction of Lexical Chains Using Roget's Thesaurus
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In: http://www.site.uottawa.ca/~mjarmasz/pubs/CAI2003-131.pdf (2003)
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S.: Roget’s thesaurus and semantic similarity
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In: http://www.csi.uottawa.ca/~szpak/recent_papers/TR-2003-01.pdf (2003)
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Automating the Measurement of Linguistic Features to Help Classify Texts as Technical
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In: http://www.uqtr.uquebec.ca/~delisle/Recherche/conf-papers/TALN-2K.pdf (2000)
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Theory-Neutral Parser Engineering
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In: http://www.site.uottawa.ca/~scarlett/romand2000.pdf (2000)
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More Alike Than Not - An Analysis Of WORD FREQUENCIES IN FOUR GENERAL-PURPOSE TEXT CORPORA
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In: http://www.uqtr.uquebec.ca/~delisle/Recherche/conf-papers/PACLING-99.pdf (1999)
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Semi-automatic recognition of noun modifier relationships
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In: http://www.aclweb.org/anthology-new/C/C98/C98-1015.pdf (1998)
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