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SemEval-2013 task 4: Free paraphrases of noun compounds. Nakov
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
In: https://www.cs.york.ac.uk/semeval-2013/accepted/92_Paper.pdf (2013)
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3
Hierarchical approach to emotion recognition and classification in texts
In: http://www.site.uottawa.ca/~diana/publications/DimanCanadianAI2010.pdf (2010)
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4
Semeval-2 task 9: The interpretation of noun compounds using paraphrasing verbs and prepositions
In: http://afflatus.ucd.ie/Papers/semeval2nc.pdf (2010)
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5
Semeval-2 task 9: The interpretation of noun compounds using paraphrasing verbs and prepositions
In: http://afflatus.ucd.ie/Papers/sew2009paraphrase.pdf (2010)
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6
The Same Semantic Relations Link Structurally Different Realizations of Concepts
In: http://elanguage.net/journals/lilt/article/download/215/159/ (2009)
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7
SemEval Task 9: The Interpretation of Noun Compounds Using Paraphrasing Verbs and Prepositions
In: http://www.aclweb.org/anthology/S/S10/S10-1007.pdf (2009)
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8
Using the web as a linguistic resource to automatically correct lexico-syntactic errors
In: http://www.lrec-conf.org/proceedings/lrec2008/pdf/220_paper.pdf (2008)
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9
Using Roget’s Thesaurus for Fine-grained Emotion Recognition
In: http://aclweb.org/anthology/I/I08/I08-1041.pdf (2008)
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10
SemEval-2007 task 04: Classification of semantic relations between nominals
In: http://www.cs.berkeley.edu/~nakov/selected_papers_list/semeval2007_task4.pdf (2007)
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
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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11
SemEval-2007 task 04: Classification of semantic relations between nominals
In: http://acl.ldc.upenn.edu/W/W07/W07-2003.pdf (2007)
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12
S.: Learning noun-modifier semantic relations with corpus-based and wordnet-based features
In: http://www.aaai.org/Papers/AAAI/2006/AAAI06-124.pdf (2006)
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13
Learning noun-modifier semantic relations with corpus-based and wordnet-based features
In: http://www.h-its.org/english/homes/nastase/Publications/AAAI0613NastaseV.pdf (2006)
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14
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
In: http://www.site.uottawa.ca/~mshah/Papers/Mohak/GDN_06.pdf (2004)
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15
Not as Easy as It Seems: Automating the Construction of Lexical Chains Using Roget's Thesaurus
In: http://www.site.uottawa.ca/~mjarmasz/pubs/CAI2003-131.pdf (2003)
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16
S.: Roget’s thesaurus and semantic similarity
In: http://www.csi.uottawa.ca/~szpak/recent_papers/TR-2003-01.pdf (2003)
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17
Automating the Measurement of Linguistic Features to Help Classify Texts as Technical
In: http://www.uqtr.uquebec.ca/~delisle/Recherche/conf-papers/TALN-2K.pdf (2000)
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18
Theory-Neutral Parser Engineering
In: http://www.site.uottawa.ca/~scarlett/romand2000.pdf (2000)
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19
More Alike Than Not - An Analysis Of WORD FREQUENCIES IN FOUR GENERAL-PURPOSE TEXT CORPORA
In: http://www.uqtr.uquebec.ca/~delisle/Recherche/conf-papers/PACLING-99.pdf (1999)
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20
Semi-automatic recognition of noun modifier relationships
In: http://www.aclweb.org/anthology-new/C/C98/C98-1015.pdf (1998)
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