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Technical side of Watson, David Boloker by Mind Map: Technical side of Watson, David Boloker
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Technical side of Watson, David Boloker

Motivation

Offload more of the decision maker tasks to the engine

Strategy

read lots of texts

analyze subject-verb-object

build semantic network

find patterns

officials submit resignations (0.8)

Keywords match isn't enough

need

temporal reasoning

statistical paraphrasing

geospatial reasoning

Arch

decompose the question

run many many searches

our data, 2 FTS engines, Lucene, Indri

generate hypothesis

evidence sourcing

get confidence on hypothesis

deep evidence scoring

sythesis

apply machine learning model to get final confidence

learning from its mistakes

training data is the archive of all historic jeopardy games

output answer & confidence

Had iterations in architecture, each time improving accuracy

till they got 87%

HW

2890 cores

very parallel architecture

90 severs

16TB RAM

20TB disk

Challenges

Real language is full of slang, & metaphores

e.g., pun in question

History

PIQUANT

OpenEuphyra

uses UIMA for SOA

100 annotators

in, Java, Prolog

reveal different kind of features

arch high-level

learn

ingest many sources, wikipedia, yago2, dbpedia, wordnet many more

store all in RDF store

Question analysis

Primary search

Shallow & deep scoring

Merging & ranking

Demo

Audience question

Country that has the largest solar dish?, Israel 24%, Untitled, Negev <10%

Demo machine uses only 7 servers

takes about 20 seconds

About

CTO, Emerging Technologies, IBM