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Hits 61 – 80 of 122

61
Alignment of spanish and english TREC topic descriptions
In: http://www.enee.umd.edu/~oard/pdf/trec96.pdf (1997)
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62
Adaptive filtering of multilingual document streams
In: http://www.glue.umd.edu/~oard/pdf/riao97.pdf (1997)
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63
Speech-Based Information Retrieval for Digital Libraries
In: http://www.clis.umd.edu/dlrg/filter/sss/papers/oard_speech.ps (1997)
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64
Speech-based information retrieval for digital libraries
In: http://www.aaai.org/Papers/Symposia/Spring/1997/SS-97-05/SS97-05-022.pdf (1997)
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65
Speech-based information retrieval for digital libraries
In: http://terpconnect.umd.edu/~oard/pdf/speech.pdf (1997)
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66
Speech-Based Information Retrieval for Digital Libraries
In: http://www.glue.umd.edu/~oard/pdf/sssspeech97.pdf (1997)
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67
A Survey of Multilingual Text Retrieval
In: http://www.clis.umd.edu/dlrg/filter/papers/mlir.ps (1996)
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68
A survey of multilingual text retrieval
In: http://www.glue.umd.edu/~oard/pdf/cstr3615.pdf (1996)
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69
A survey of Multilingual Text Retrieval
In: http://drum.lib.umd.edu/bitstream/1903/807/2/CS-TR-3615.pdf (1996)
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70
Evaluating Cross-Language Text Filtering Effectiveness
In: http://www.clis.umd.edu/dlrg/filter/papers/sigir96.ps (1996)
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71
On Automatic Filtering of Multilingual Texts
In: http://www.clis.umd.edu/dlrg/filter/papers/smc.ps (1994)
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72
On automatic filtering of multilingual texts
In: http://www.enee.umd.edu/~oard/pdf/smc94.pdf (1994)
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73
NTCIR-6 at Maryland: Chinese Opinion Analysis Pilot Task
In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings6/NTCIR/44.pdf
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74
1 Wikipedia-based Topic Clustering for Microblogs
In: https://asis.org/asist2011/proceedings/submissions/186_FINAL_SUBMISSION.pdf
Abstract: Microblogging has become a primary channel by which people not only share information, but also search for information. However, microblog search results are most often displayed by simple criteria such as creation time or author. A review of the literature suggests that clustering by topic may be useful, but short posts offer limited scope for clustering using lexical evidence alone. This paper therefore presents an approach to topical clustering based on augmenting lexical evidence with the use of Wikipedia as an external source of evidence for topical similarity. The main idea is to link terms in microblog posts to Wikipedia pages and then to leverage Wikipedia’s link structure to estimate semantic similarity, Results show statistically significant relative improvements of about 3 % in cluster purity using a relatively small (7500-post, 5-topic) Twitter test collection. Linking terms in microblog posts to Wikipedia pages is also shown to offer a useful basis for cluster labeling.
Keyword: labeling
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.460.7545
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75
Combining Lexical and Statistical Translation Evidence for Cross-Language Information Retrieval
In: http://terpconnect.umd.edu/~oard/pdf/jasist14kim.pdf
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76
‘Houston, We have a solution’: A Case Study of the Analysis of Astronaut Speech during NASA Apollo 11 for Long-Term Speaker Modeling
In: http://terpconnect.umd.edu/%7Eoard/pdf/interspeech14-yu.pdf
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77
Ba$=bc;edgfhajilkmaj@bnoea$dgprqts;u@!vwi
In: http://www.umiacs.umd.edu/lamp/pubs/TechReports/LAMP_099/LAMP_099.pdf
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78
Beyond Topicality: Finding Opinionated Chinese Documents
In: http://www.enee.umd.edu/%7Eoard/pdf/asist09.pdf
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79
TDT-2002 Topic Tracking at Maryland:
In: http://www.cs.umd.edu/Library/TRs/CS-TR-4454/CS-TR-4454.pdf
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80
13 Adapting Morphology for Arabic Information Retrieval*
In: http://www.glue.umd.edu/%7Eoard/pdf/arabic06.pdf
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