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Language processing pipelines for knowledge technologies
Published on Oct 06, 20161415 Views
The Natural Language Processing is usually considered a (pre)processing step in text-based knowledge technologies. To the expected audience of PhD students the tasks, methods and techniques used in co
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Chapter list
Language processing pipelines for knowledge technologies00:00
Example - Stanley Kubrick01:38
Is such a dialogue possible today?05:09
What do we need for such a dialogue?07:30
Basic concepts09:55
Language Technologies (LT)/112:08
Language Technologies (LT)/214:56
Language Technologies (LT)/315:51
Language Technologies (LT)/416:57
Corpus annotation/119:02
Corpus annotation/220:46
Corpus annotation: morphology/122:28
Corpus annotation: morphology/225:30
Corpus annotation: morphology/325:59
Corpus annotation: morphology/426:09
Corpus annotation: morphology/428:23
Corpus annotation: morphology/629:35
Corpus annotation: morphology/730:19
Corpus annotation: morphology/832:00
Corpus annotation: morphology/932:57
Corpus annotation: syntax/133:30
Corpus annotation: syntax/338:21
Corpus annotation: syntax/238:25
Corpus annotation: syntax/438:47
Corpus annotation: syntax/539:51
Corpus annotation: syntax/640:38
Corpus annotation: syntax/742:11
Corpus annotation: syntax/842:42
Corpus annotation: syntax/944:41
Corpus annotation: syntax/1045:36
Corpus annotation: syntax/1146:24
Corpus annotation: semantics/147:00
Corpus annotation: semantics/248:55
Corpus annotation: semantics/349:24
Corpus annotation: semantics/450:10
More complex useful LT tasks51:21
XLike linguistic processing pipelines/153:33
XLike linguistic processing pipelines/254:39
XLike linguistic processing pipelines/355:12
XLike linguistic processing pipelines/456:38
XLike linguistic processing pipelines/557:22
XLike linguistic processing pipelines/657:58
XLike linguistic processing pipelines/758:33
XLike linguistic processing pipelines/801:02:14
Wikifier service01:03:01
LT repositories/101:07:10
LT repositories/201:08:15
Bright future for NLP/LT01:09:14
Thank you for your attention! 01:09:33