discriminative random fields- a discriminative framework
Tài liệu Báo cáo khoa học: "Discriminative Word Alignment with Conditional Random Fields" ppt
... only a
small amount of word aligned data we wish to be
able to incorporate information about word associ-
ation from any sentence aligned data available. A
common measure of word association ... Model 1
translation probability as real-valued features for
each candidate pair, as well as a normalised score
67
over all possible candidate alignments for each tar-
get word. We derive a fea...
Báo cáo khoa học: "Discriminative Language Modeling with Conditional Random Fields and the Perceptron Algorithm" pptx
... Discriminative Language Modeling with
Conditional Random Fields and the Perceptron Algorithm
Brian Roark Murat Saraclar
AT&T Labs - Research
{roark,murat}@research.att.com
Michael Collins ... lattice-based MMIE/CMLE in
challenging large scale ASR tasks such as Switchboard.
In fact, state-of-the-art acoustic modeling, as seen, for
example, at annual Switchboard evaluations, invariably...
Tài liệu Báo cáo khoa học: "A Discriminative Syntactic Word Order Model for Machine Translation" pdf
... sentences and
in machine translation. In line with previous work
on NLP tasks such as parsing and recent work on
machine translation, we develop a discriminative or-
der model. An advantage of such a ... 2004;
Al-Onaizan and Papineni, 2006; Kuhn et al., 2006).
In this paper we develop an order model for machine
translation which makes use of both syntactic and
surface information.
The...
Báo cáo khoa học: "A Discriminative Language Model with Pseudo-Negative Samples" pptx
... from a corpus and negative
examples from a Pseudo-Negative generator.
An advantage of sampling is that as many nega-
tive examples can be collected as correct ones, and
a distinction can be clearly ... and
not all relevant features can be included.
A discriminative language model (DLM) assigns
a score
to a sentence , measuring the correct-
ness of a sentence in terms of gramma...
Báo cáo khoa học: "Discriminative Pronunciation Modeling: A Large-Margin, Feature-Rich Approach" docx
... Tsochantaridis, T. Joachims, T. Hofmann, and Y. Al-
tun. 2005. Large margin methods for structured and
interdependent output variables. Journal of Machine
Learning Research, 6.
V. Venkataramani and ... M. Sarac¸lar and S. Khudanpur. 2004. Pronunciation
change in conversational speech and its implications
for automatic speech recognition. Computer Speech
and Language, 18(4).
H. Schramm and P....
Báo cáo khoa học: "A Discriminative Model for Joint Morphological Disambiguation and Dependency Parsing" ppt
... by A. We say a
factor “fires” when all its neighboring variables are
4
Variables for link labels can be integrated in a straightfor-
ward manner, if desired.
true and it evaluates to a non-negative ... For adjectives, the ex-
ample shown in Table 1 and Figure 1 is a typical sce-
nario, where an accusative adjective was tagged as
nominative, and was then misanalyzed by the parser
as mo...
Báo cáo khoa học: "Robust Approach to Abbreviating Terms: A Discriminative Latent Variable Model with Global Information" docx
... forms as
the training/evaluation data.
The evaluation metrics used in the abbreviation
generation are exact-match accuracy (hereinafter
accuracy), including top-1 accuracy, top-2 accu-
racy, and ... History and Philology at Academia Sinica
(b): Chinese Abbreviation Generation
(a) : English Abbreviation Generation
Figure 1: English (a) and Chinese (b) abbreviation
generation as a sequentia...
Báo cáo khoa học: "A Discriminative Latent Variable Model for Statistical Machine Translation" pdf
... to as a
derivation, and each translation may be produced by
many different derivations. As the training data only
provides source and target sentences, the derivations
are modelled as a latent ... while for
the latent variable model the impact is much larger.
6
For example, our max-derivation model trained
on the Europarl data translates carte sur la table as
on the table card. This error...
Báo cáo khoa học: "Discriminative Training of a Neural Network Statistical Parser" pdf
... uses a large-vocabulary
tagger (Ratnaparkhi, 1996) as a preprocessing
stage may compensate for its smaller vocabu-
lary. Also, the main reason for using a smaller
vocabulary is the computational ... computationally tractable for
large datasets and a good approximation to the
theoretically optimal method. The parser which
uses this approach outperforms both a genera-
tive model and...
Báo cáo khoa học: "A Discriminative Hierarchical Model for Fast Coreference at Large Scale" ppt
... mentions are not coreferent, e.g., ψ : M × M × {0, 1} →
381
Jamie,Callan,
Jamie,Callan,
J.,Callan,
J.,Callan,
J.,Callan,
J.,Callan,
Jamie,Callan, Jamie,Callan,
v,
Jamie,Callan,
J.,Callan,
v,v,v,
J.,Callan,
J.,Callan,
J.,Callan,
J.,Callan,
Jamie,Callan,
Figure ... hierarchical approach provides a number of ad-
ditional advantages. First, the recursive nature of the
tree (arbitrary depth an...
Từ khóa:
- safety strategy and a control framework
- linearchain conditional random fields
- using conditional random fields
- scaling conditional random fields
- semimarkov conditional random fields
- training conditional random fields
- semisupervised conditional random fields
- dynamic conditional random fields for jointly labeling multiple sequences
- a unifying framework for lbp and related methods