Báo cáo khoa học: "Learning Script Knowledge with Web Experiments" doc
Báo cáo khoa học: "Learning Script Knowledge with Web Experiments" doc
... Sweden, 11-16 July 2010.
c
2010 Association for Computational Linguistics
Learning Script Knowledge with Web Experiments
Michaela Regneri Alexander Koller
Department of Computational Linguistics ... unsuper-
vised learning of the events that make up
a script, along with constraints on their
temporal ordering. We collect natural-
language descriptions of script- specific
event sequ...
Tài liệu Báo cáo khoa học: "Learning to Translate with Multiple Objectives" doc
... of translation edit rate
with targeted human annotation. In AMTA.
Valentin I. Spitkovsky, Hiyan Alshawi, and Daniel Juraf-
sky. 2011. Lateen em: Unsupervised training with
multiple objectives, ... different metrics M
k
(h) for
evaluating the quality of h. Without loss of gen-
erality, we assume metric scores are bounded be-
tween 0 and 1, with 1 being perfect. Each hypoth-
esis h can be...
Tài liệu Báo cáo khoa học: "Learning Word Senses With Feature Selection and Order Identification Capabilities" pdf
... e(D, T) be the coverage rate
of the feature set T with respect to a set of con-
texts D, i.e., the ratio of the number of the occur-
rences with at least one feature in their local con-
texts ... helps to avoid the bias to-
ward the selection of fewer features, since with
fewer features, there are more occurrences without
features in contexts, and their context vectors will
be zero valu...
Báo cáo khoa học: "Learning to Translate with Source and Target Syntax" pot
... bijec-
tively with those of α.
• The terminal-labeled frontier nodes of γ are
aligned (many-to-many) with those of α.
In the substitution operation, an aligned pair of
substitution nodes is rewritten with ... previous work (Chiang, 2007),
with differences shown in Table 2. Rules with non-
terminals were extracted from a subset of the data
(labeled “Core” in Table 2), and rules witho...
Tài liệu Báo cáo khoa học: "K-means Clustering with Feature Hashing" docx
... experimented on a document clustering
task.
1 Introduction
In natural language processing (NLP) and text min-
ing, clustering methods are crucial for various tasks
such as document clustering. ... authors also justified their
method by showing that with feature hashing, dot-
product is unbiased, and the length of each vector
is well-preserved with high probability under some
conditions.
Pl...
Tài liệu Báo cáo khoa học: "Learning Event Durations from Event Descriptions" docx
... again SVM
with 67.9% test precision. Compared with the
baseline (51.5%) and human agreement (79.8%),
this again is a very promising result, especially
for a multi-classification task with such ... annotations would be consistent with
this distribution. Thus, the baseline will be an
annotator who knows the global distribution and
annotates in accordance with it, but does not re...
Báo cáo khoa học: "A Hierarchical Model of Web Summaries" docx
... manually created document ontology to
model the content of an underlying document col-
lection. While the primary usage of ontologies is
as a means of organizing and navigating document
collections, ... Fixed hLDA (Reisinger and Pa¸sca, 2009)
where the set of topics associated with a document is
known a priori. In both cases, document labels are
mapped to constraints on the set of topics on...
Tài liệu Báo cáo khoa học: "Learning Hierarchical Translation Structure with Linguistic Annotations" ppt
... the baseline at the 95% confidence level are labelled with a single star, at the 99% level with two.
with a 3-gram language model smoothed with modi-
fied Knesser-Ney discounting (Chen and Goodman,
1998), ... phrase-pair spans filled with source-
language linguistically motivated labels. We show
how we can employ this crucial input to extract and
train a hierarchical translation struct...
Tài liệu Báo cáo khoa học: "Learning with Unlabeled Data for Text Categorization Using Bootstrapping and Feature Projection Techniques" doc
... words
within a document as a context. To extract contexts
from a document, we use sliding window
techniques (Maarek et al., 1991). The window is a
slide from the first word of the document ... title word with the maximum
similarity score with a word W, c
max
is the category
of the title word T
max
, and T
secondmax
is other title
word with the second high similarity score with...
Tài liệu Báo cáo khoa học: "Learning Parse and Translation Decisions From Examples With Rich Context" pdf
... the complexity of
parse grammars with hand-coded rules turned out to
be much more difficult than expected, if not impos-
sible. Newer statistical approaches with often only
very limited context ... trained on very large
corpora.
To cope with the complexity of unrestricted text,
parse rules in any kind of formalism will have to
consider a complex context with many different mor...
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