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HAWK – Hybrid Question Answering using Linked Data
Published on Jul 15, 20152341 Views
The decentral architecture behind theWeb has led to pieces of information being distributed across data sources with varying structure. Hence, answering complex questions often requires combining in
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Chapter list
HAWK - Hybrid Question Answering - 100:00
Motivation - 100:28
Motivation - 201:46
HAWK - Hybrid Question Answering - 201:56
HAWK - Hybrid Question Answering - 302:14
HAWK - Hybrid Question Answering - 402:22
Hawk - POS Tagging / Segmentation - 102:45
Hawk - POS Tagging / Segmentation - 203:03
HAWK - Hybrid Question Answering - 503:23
Hawk - Entity Annotation - 103:40
Hawk - Entity Annotation - 203:46
HAWK - Hybrid Question Answering - 604:06
Hawk - Dependency Parsing - 104:18
Hawk - Dependency Parsing - 204:23
HAWK - Hybrid Question Answering - 704:55
Hawk - Linguistic Pruning - 105:00
Hawk - Linguistic Pruning - 205:40
HAWK - Hybrid Question Answering - 805:55
Hawk - Semantic Annotation - 106:01
Hawk - Semantic Annotation - 206:22
Hawk - Semantic Annotation - 306:53
HAWK - Hybrid Question Answering - 907:05
Hawk - SPARQL Generation - 107:10
Hawk - SPARQL Generation - 207:53
Hawk - SPARQL Generation - 308:01
HAWK - Hybrid Question Answering - 1008:11
Hawk - Semantic Pruning - 108:27
Hawk - Semantic Pruning - 208:52
HAWK - Hybrid Question Answering - 1109:38
Hawk - Semantic Ranking - 109:53
Hawk - Semantic Ranking - 210:10
HAWK - Evaluation - 110:23
HAWK - Evaluation - 210:56
HAWK - Evaluation - 311:30
HAWK - Evaluation - 413:02
HAWK - Evaluation - 515:13
HAWK - Evaluation - 615:18
HAWK - Evaluation - 716:16
HAWK - Conclusion - 116:39
HAWK - Conclusion - 217:55