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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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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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Abstract:
The NLP community has shown a renewed interest in deeper semantic analyses, among them automatic recognition of relations between pairs of words in a text. We present an evaluation task designed to provide a framework for comparing different approaches to classifying semantic relations between nominals in a sentence. This is part of SemEval, the 4 th edition of the semantic evaluation event previously known as SensEval. We define the task, describe the training/test data and their creation, list the participating systems and discuss their results. There were 14 teams who submitted 15 systems. 1 Task Description and Related Work The theme of Task 4 is the classification of semantic relations between simple nominals (nouns or base noun phrases) other than named entities – honey bee, for example, shows an instance of the Product-Producer relation. The classification occurs in the context of a sentence in a written English text. Algorithms for classifying semantic relations can be applied in information retrieval, information extraction, text summarization, question answering and so on. The recognition of textual entailment (Tatu and Moldovan, 2005) is an example of successful use of this type of deeper analysis in high-end NLP applications. The literature shows a wide variety of methods of nominal relation classification. They depend as much on the training data as on the domain of application and the available resources. Rosario and
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.73.4549 http://www.cs.berkeley.edu/~nakov/selected_papers_list/semeval2007_task4.pdf
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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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