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Textual Information Access: Statistical Models by Francois Yvon, Eric Gaussier

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Index

A

a priori Bayesian

smoothing

alignment

annotation

automatic

speech recognition
summarization
summarization of opinions
summarization of text

B

backward algorithm

bag of words

vs sequence

Baum-Wels algorithm

Bayes’ rule

Bernoulli

distribution
model

binary independence

model
retrieval (BIR)

bipartisan

ranking

bisegment

BLEU

BM25

burstiness

C

categorization

characteristic

features
function

classification

documents according to their opinion

clustering

unsupervised clustering

co-citations

combinatorial optimization

conditional

entropy
independence
Markovian field
probability
Random Field, see conditional Markovian fields

convex upper bound

core

CRF, see conditional Markovian fields

critical pair classification

cross validation

D

data

fusion
unification

diffusion

kernels

Dirichlet

distribution
smoothing

discriminant models

distortion

divergence from randomness (DFR)

document filtering

dynamic programming

E

EM algorithm

empirical error rate

entropy maximum

evaluation

expectation of a random variable

exponential family

F

F-measure

false negative

false positive

fertility

fisher

kernels
information

forward algorithm

forward-backward algorithm

function words

G

Gaussian

mixing

generalized

linear model
vector model

generative model

vs discriminative

Gibbs sampling

gradient descent

gram matrix

graph kernel

graphical model

H

hidden Markov

chain
models

hierarchical

classification
concepts
model

HMM, see hidden Markov model

I

IBM model

IBM1
IBM2
IBM3
IBM4-IBM6

indexation

information

extraction ...

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