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UIMA David Gondek Knowledge Capture and Learning DeepQA IBM Research.

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Presentation on theme: "UIMA David Gondek Knowledge Capture and Learning DeepQA IBM Research."— Presentation transcript:

1 UIMA David Gondek Knowledge Capture and Learning DeepQA IBM Research

2 Deep QA Architecture In 1894 C.W. Post created his warm cereal drink Postum in this Michigan city 1985 Post Foods aramour General Foods Grand Rapids … Battle Creek … … Candidate Answer Generation 1)Battle Creek (0.85) 2)Post Foods ( 0.20) 3)1985 (0.05) Merging & Ranking Evidence Retrieval Question Analysis Keywords: 1894, C.W. Post, created … Lexical AnswerType: ( Michingan city ) Date(1984) Relations: Create(Post, cereal drink) … [ … 0.97] [ … 0.72] [ … 0.40] [ … 0.21] [ … 0.83] [ … 0.92] [ … 0.61] [ … 0.60] Evidence Scoring Spatial Temporal Lexical Taxonomic … Related Content (Structured & Unstructured) Primary Search Hypothesis Generation Hypothesis Generation Final Confidence Merging & Ranking Synthesis Hypothesis and Evidence Scoring Question & Topic Analysis Question Decomposition Question Decomposition

3 On 27th May 1498, Vasco da Gama landed in Kappad Beach celebrated May th anniversary arrival in In May 1898 Portugal celebrated the 400th anniversary of this explorer’s arrival in India. Portugal landed in27th May 1498 Vasco da Gama Temporal Reasoning Statistical Paraphrasing GeoSpatial Reasoning explorer On 27th May 1498, Vasco da Gama landed in Kappad Beach On the 27 th of May 1498, Vasco da Gama landed in Kappad Beach Kappad Beach Para- phrases Geo-KB Date Math 3 India We use many semantic substrategies for similarity Wait! This is more than just annotation. Can UIMA handle all these artifacts? Question Passage (showing one here, but there may be many) Background Resources(KBs, axioms, etc)  Search Far and Wide  Explore many hypotheses  Find Judge Evidence  Many inference algorithms Built over parsing, PAS, NED, entity/ predicate disambig, negation, relation extraction, frames, topic detection, taxonomic reasoning, etc..  Search Far and Wide  Explore many hypotheses  Find Judge Evidence  Many inference algorithms Built over parsing, PAS, NED, entity/ predicate disambig, negation, relation extraction, frames, topic detection, taxonomic reasoning, etc.. Why Semantics? Deeper Evidence

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5 UIMA Links UIMA Annotations (stored in the CAS: Common Analysis Structure) Annotations Pipeline Multimodal (SOFA ) Multimodal SOFA Collection Processing Engine UIMA AS (Asynchronous Scale-out) Tools Components (Apache, CMU, JULIE lab) Components ApacheCMUJULIE lab


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