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1
Metadata annotation for dramatic texts
Lombardo, Vincenzo; Damiano, Rossana; Pizzo, Antonio. - : Accademia University Press, 2017. : country:DEU, 2017. : place:Berlin, 2017
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2
EVALITA Goes Social: Tasks, Data, and Community at the 2016 Edition
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3
KD Strikes Back: from Keyphrases to Labelled Domains Using External Knowledge Sources
Sprugnoli, Rachele (orcid:0000-0001-6861-5595); Giovanni, Moretti; Sara, Tonelli. - : aAccademia University Press, 2016. : country:ITA, 2016. : place:Torino, 2016
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4
Taming Sense Sparsity: a Common-Sense Approach
Lieto, Antonio; Mensa, Enrico; Radicioni, Daniele P.. - : CEUR Workshop Proceedings, 2016. : country:DEU, 2016. : place:Aachen, 2016
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5
Deep tweets: from entity linking to sentiment analysis
Pierpaolo Basile, Valerio Basile, Malvina Nissim, Nicole Novielli. - : Aaccademia University Press, 2015. : country:ITA, 2015. : place:Torino, 2015
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6
Sentiment analysis on Italian tweets
Valerio Basile; Malvina Nissim. - : Association for Computational Linguistics, 2013. : country:USA, 2013. : place:Stroudsburg, 2013
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7
C-ODO: an OWL metamodel for collaborative ontology design
In: http://www.ra.ethz.ch/CDstore/www2007/km.aifb.uni-karlsruhe.de/ws/ckc2007/papers/GangemiLehmannPresuttiNissimCatenacci.pdf (2007)
Abstract: The design and maintenance of ontologies is a complex so-cial collaborative activity, and this is true especially for semantic-web ontologies. On the one hand, such activity calls for the availability of tools providing support to typical operations such as the reuse of existing ontologies and de-sign patterns, the re-engineering of thesauri, lexicons, folk-sonomies, database schemas, and knowledge from corpora, or to the appropriate evaluation and selection processes which are needed in order to make an ontology functional to a given task. On the other hand, tools able to support the collab-orative performance of all these operations, aiding e.g. the discussion and consensus-reaching processes on an ontology element and its rationale, should be provided too. Current tools substantially fail to address both types of need. In our opinion, this is partly due to the lack of both an adequate re-quirement analysis, which describes the actual processes and data that are usually managed during ontology-design activ-ities, and a unifying conceptual framework, which puts to-gether the several interrelated aspects of (collaborative) on-tology design. In this paper we present a formal framework that represents the notions needed to express requirements for the development of collaborative ontology engineering tools. The framework is formalized as an OWL(DL) ontol-ogy named C-ODO (Collaborative Ontology-Design Ontol-ogy), and is being used within the EU NeOn project. 1.
URL: http://www.ra.ethz.ch/CDstore/www2007/km.aifb.uni-karlsruhe.de/ws/ckc2007/papers/GangemiLehmannPresuttiNissimCatenacci.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.540.8381
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8
Learning Information Status of Discourse Entities
In: http://acl.ldc.upenn.edu/W/W06/W06-1612.pdf (2006)
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9
Cross-Lingual Question Answering by Answer Translation
In: http://www.ltg.ed.ac.uk/~jbos/pubs/bosCLEF2006.pdf (2006)
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10
Comparing knowledge sources for nominal anaphora resolution
In: http://www.comp.leeds.ac.uk/markert/Papers/CL2005.pdf (2005)
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11
Comparing knowledge sources for nominal anaphora resolution
In: http://acl.ldc.upenn.edu/J/J05/J05-3004.pdf (2005)
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12
Question Answering with QED at TREC-2005
In: http://trec.nist.gov/pubs/trec14/./papers/uedinburgh-nissim.qa.pdf (2005)
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13
Using the web in machine learning for other-anaphora resolution
In: http://www.coli.uni-saarland.de/~regneri/courses/WebAsCorpus-08/papers/Modjeska-etal-03.pdf (2003)
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14
Using the web for nominal anaphora resolution
In: http://www.comp.leeds.ac.uk/markert/Papers/eaclws2003.pdf (2003)
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15
Using the Web for Nominal Anaphora Resolution
In: http://www.comp.leeds.ac.uk/markert/Papers/eaclws2003.ps.gz (2003)
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16
Using the Web in Machine Learning for Other-Anaphora Resolution
In: http://ftp.cs.toronto.edu/pub/gh/modjeskaetal.ps (2003)
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17
Answer Translation: An Alternative Approach to Cross-Lingual Question Answering
In: http://www.let.rug.nl/bos/pubs/BosNissim2007CLEF.pdf
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18
Extracting MWEs from Italian corpora: A case study for refining the POS-pattern methodology
In: http://www.aclweb.org/anthology/W/W14/W14-0809.pdf
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19
Using the Web for Anaphora Resolution
In: http://ftp.cs.toronto.edu/pub/gh/markert-nissim-modjeska.pdf
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20
Comparing Knowledge Sources for Nominal Anaphora Resolution
In: http://eprints.whiterose.ac.uk/5389/1/KatjaCL2005.pdf
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