1 |
sem 2013 shared task: Semantic textual similarity, including a pilot on typed-similarity
|
|
|
|
In: http://www.aclweb.org/anthology/S/S13/S13-1004.pdf (2013)
|
|
BASE
|
|
Show details
|
|
2 |
Selectional Preferences for Semantic Role Classification
|
|
|
|
In: http://wing.comp.nus.edu.sg/~antho/J/J13/J13-3006.pdf (2012)
|
|
BASE
|
|
Show details
|
|
3 |
Plagiarism detection across distant language pairs
|
|
|
|
In: http://lexitron.nectec.or.th/public/COLING-2010_Beijing_China/PAPERS/pdf/PAPERS005.pdf (2010)
|
|
BASE
|
|
Show details
|
|
4 |
Plagiarism detection across distant language pairs
|
|
|
|
In: http://ixa.si.ehu.es/Ixa/Argitalpenak/Artikuluak/1283944120/publikoak/coling-plagiarism/ (2010)
|
|
BASE
|
|
Show details
|
|
5 |
Exploring Knowledge Bases for Similarity
|
|
|
|
In: http://www.lrec-conf.org/proceedings/lrec2010/pdf/534_Paper.pdf (2010)
|
|
Abstract:
Graph-based similarity over WordNet has been previously shown to perform very well on word similarity. This paper presents a study of the performance of such a graph-based algorithm when using different relations and versions of Wordnet. The graph algorithm is based on Personalized PageRank, a random-walk based algorithm which computes the probability of a random-walk initiated in the target word to reach any synset following the relations in WordNet (Haveliwala, 2002). Similarity is computed as the cosine of the probability distributions for each word over WordNet. The best combination of relations includes all relations in WordNet 3.0, included disambiguated glosses, and automatically disambiguated topic signatures called KnowNets. All relations are part of the official release of WordNet, except KnowNets, which have been derived automatically. The results over the WordSim 353 dataset show that using the adequate relations the performance improves over previously published WordNet-based results on the WordSim353 dataset (Finkelstein et al., 2002). The similarity software and some graphs used in this paper are publicly available at
|
|
URL: http://www.lrec-conf.org/proceedings/lrec2010/pdf/534_Paper.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.681.3382
|
|
BASE
|
|
Hide details
|
|
6 |
Using semantic relatedness and word sense disambiguation for (cl)ir
|
|
|
|
In: http://clef.isti.cnr.it/2009/working_notes/agirre-robust-paperCLEF2009.pdf (2009)
|
|
BASE
|
|
Show details
|
|
7 |
Use of rich linguistic information to translate prepositions and grammar cases to Basque
|
|
|
|
In: http://www.mt-archive.info/EAMT-2009-Agirre.pdf (2009)
|
|
BASE
|
|
Show details
|
|
8 |
SemEval-2010 Task 17: All-words Word Sense . . .
|
|
|
|
In: http://aclweb.org/anthology-new/W/W09/W09-2420.pdf (2009)
|
|
BASE
|
|
Show details
|
|
9 |
A.: CLEF 2009 Ad Hoc Track Overview: Robust-WSD Task
|
|
|
|
In: http://ixa.si.ehu.es/Ixa/Argitalpenak/Artikuluak/1293445010/publikoak/overviewrobust-clef2009-lncs.pdf (2009)
|
|
BASE
|
|
Show details
|
|
10 |
3rd PAN WORKSHOP. UNCOVERING PLAGIARISM, AUTHORSHIP AND SOCIAL SOFTWARE MISUSE 25th ANNUAL CONFERENCE OF THE SPANISH SOCIETY FOR NATURAL LANGUAGE PROCESSING, SEPLN 2009
|
|
|
|
In: http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-502/pan09-proceedings.pdf (2009)
|
|
BASE
|
|
Show details
|
|
11 |
G.: IXA at CLEF 2008 Robust-WSD Task: using Word Sense Disambiguation for (Cross Lingual) Information Retrieval
|
|
|
|
In: http://ixa.si.ehu.es/Ixa/Argitalpenak/Artikuluak/1226564935/publikoak/otegi-paperCLEF2008.pdf (2009)
|
|
BASE
|
|
Show details
|
|
12 |
G.: IXA at CLEF 2008 Robust-WSD Task: using Word Sense Disambiguation for (Cross Lingual) Information Retrieval
|
|
|
|
In: http://ixa.si.ehu.es/Ixa/Argitalpenak/Artikuluak/1258713411/publikoak/pdf/ (2009)
|
|
BASE
|
|
Show details
|
|
13 |
On the use of automatically acquired examples for all-nouns word sense disambiguation
|
|
|
|
In: https://www.aaai.org/Papers/JAIR/Vol33/JAIR-3303.pdf (2008)
|
|
BASE
|
|
Show details
|
|
14 |
KYOTO: A system for mining, structuring and distributing knowledge across languages and cultures
|
|
|
|
In: http://adimen.si.ehu.es/~rigau/publications/lrec08-vac.pdf (2008)
|
|
BASE
|
|
Show details
|
|
15 |
KYOTO: A system for mining, structuring and distributing knowledge across languages and cultures
|
|
|
|
In: http://cwn.ling.sinica.edu.tw/churen/2008kyoto.gwa.pdf (2008)
|
|
BASE
|
|
Show details
|
|
16 |
Kyoto: a system for mining, structuring and distributing knowledge across languages and cultures
|
|
|
|
In: http://www.vossen.info/docs/2008/KYOTO_LREC2008[6].pdf (2008)
|
|
BASE
|
|
Show details
|
|
17 |
Using the multilingual central repository for graph-based word sense disambiguation
|
|
|
|
In: http://www.lrec-conf.org/proceedings/lrec2008/pdf/351_paper.pdf (2008)
|
|
BASE
|
|
Show details
|
|
18 |
Using the Multilingual Central Repository for Graph-Based Word Sense Disambiguation
|
|
|
|
In: http://www.mt-archive.info/LREC-2008-Agirre.pdf (2008)
|
|
BASE
|
|
Show details
|
|
19 |
A preliminary study for building the Basque PropBank
|
|
|
|
In: http://ixa.si.ehu.es/Ixa/Argitalpenak/Artikuluak/1141750676/publikoak/Basque_PropBank.pdf (2006)
|
|
BASE
|
|
Show details
|
|
20 |
Meaningful results for Information Retrieval in the MEANING project
|
|
|
|
In: http://ixa.si.ehu.es/Ixa/Argitalpenak/Artikuluak/1130161980/publikoak/gwn-clir.pdf (2006)
|
|
BASE
|
|
Show details
|
|
|
|