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Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics (Dagstuhl Seminar 21351)
Croft, William; Savary, Agata; Baldwin, Timothy. - : Dagstuhl Reports. DagRep, Volume 11, Issue 7, 2021
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2
Evaluating Document Coherence Modeling
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 621-640 (2021) (2021)
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3
The duality of expertise: identifying expertise claims and community opinions within online forum dialogue
Niemann, Michael MacGillivray. - : Monash University. Faculty of Information Technology. Caulfield School of Information Technology, 2015
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4
Using Distributional Similarity of Multi-Way Translations to Predict Multiword Expression Compositionality
In: http://aclweb.org/anthology/E/E14/E14-1050.pdf (2014)
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5
Automatic detection and language identification of multilingual documents
In: http://www.transacl.org/wp-content/uploads/2014/02/38.pdf (2014)
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6
How noisy social media text, how diffrnt social media sources
In: http://aclweb.org/anthology/I/I13/I13-1041.pdf (2013)
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7
c○2013 The Association for Computational Linguistics Order copies of this and other ACL proceedings from:
In: http://aclweb.org/anthology/P/P13/P13-4.pdf (2013)
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8
Using ontological and document similarity to estimate museum exhibit relatedness
In: http://ww2.cs.mu.oz.au/~tim/pubs/jocch2011.pdf (2011)
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9
The Interaction between Linguistics and Computational Linguistics
In: http://elanguage.net/journals/lilt/article/viewFile/2577/2552/ (2011)
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10
Automatic evaluation of topic coherence
In: http://www.aclweb.org/anthology-new/N/N10/N10-1012.pdf (2010)
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11
Word Sense and Semantic Relations in Noun Compounds
In: http://ww2.cs.mu.oz.au/~tim/pubs/tslp2013-ncwsd.pdf (2010)
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12
Experiments on pattern-based relation learning
In: http://ww2.cs.mu.oz.au/~tim/pubs/cikm2009.pdf (2009)
Abstract: Relation extraction is the task of extracting semantic relations— such as synonymy or hypernymy—between word pairs from corpus data. Past work in relation extraction has concentrated on manually creating templates to use in directly extracting word pairs for a given semantic relation from corpus text. Recently, there has been a move towards using machine learning to automatically learn these patterns. We build on this research by running experiments investigating the impact of corpus type, corpus size and different parameter settings on learning a range of lexical relations.
Keyword: Algorithms; Categories and Subject Descriptors; Experimentation Keywords; I.2.6 [Learning; information extraction; Knowledge acquisition General Terms; relation extraction
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.9401
http://ww2.cs.mu.oz.au/~tim/pubs/cikm2009.pdf
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13
The Hare and the Tortoise: Speed and Accuracy in Translation Retrieval
In: http://ww2.cs.mu.oz.au/~tim/pubs/mt-tm.pdf (2009)
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14
Lexical Association Measures
In: http://ufal.mff.cuni.cz/books/preview/pecina_preview.pdf (2008)
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15
Standardised evaluation of english noun compound interpretation
In: http://wing.comp.nus.edu.sg/publications/2008/lrec-mwe08.pdf (2008)
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16
Benchmarking noun compound interpretation
In: http://www.aclweb.org/anthology-new/I/I08/I08-1074.pdf (2008)
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17
Benchmarking noun compound interpretation
In: http://www-csli.stanford.edu/~tbaldwin/pubs/ijcnlp2008-nn.pdf (2008)
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18
Dynamic path prediction and recommendation in a museum environment
In: http://acl.ldc.upenn.edu/W/W07/W07-0907.pdf (2007)
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19
Structured Classification for Multilingual Natural Language Processing
In: http://eprints.infodiv.unimelb.edu.au/archive/00003814/01/thesis.pdf (2007)
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20
Interpreting noun compounds using bootstrapping and sense collocation
In: http://hum.csse.unimelb.edu.au/pacling2007/pdf/PACLING200715.pdf (2007)
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