Báo cáo khoa học: "Learning to Rank Definitions to Generate Quizzes for Interactive Information Presentation" doc
Báo cáo khoa học: "Learning to Rank Definitions to Generate Quizzes for Interactive Information Presentation" doc
... 117–120,
Prague, June 2007.
c
2007 Association for Computational Linguistics
Learning to Rank Definitions to Generate Quizzes for Interactive
Information Presentation
Ryuichiro Higashinaka and ... biographi-
cal facts) to automatically generate “Who
is this?” quizzes. The definitions are or-
dered according to how difficult they make
it to name the person. Such ra...
Báo cáo khoa học: "Learning From Collective Human Behavior to Introduce Diversity in Lexical Choice" potx
... shown that
information overlap judgment is a difficult task for
human annotators. To avoid such a difficulty, we
enforced our annotators to extract non-overlapping
nuggets from a summary to make sure ... paper.
The use of phrasal information as nuggets is an es-
sential element to our experiments, since some head-
line writers often try to use uncommon terms to re-
fer to a...
Báo cáo khoa học: "Learning Semantic Links from a Corpus of Parallel Temporal and Causal Relations" doc
... that temporal information is cru-
cial to causal relation identification.
1 Introduction
Working out how events are tied together temporally
and causally is a crucial component for successful
natural ... Inter-annotator agreement by task.
linked causally in WordNet (Girju, 2003) were used
to collect examples for annotation, with the result-
ing corpora allowing machine learning model...
Báo cáo khoa học: "M AX S IM: A Maximum Similarity Metric for Machine Translation Evaluation" doc
... judges have to rank these
translations).
During the workshop, Kappa values measured for
inter- and intra-annotator agreement for rank and
constituent are substantially higher than those for
adequacy ... need
to be performed.
2.3 ParaEval
The ParaEval metric (Zhou et al., 2006) uses a
large collection of paraphrases, automatically ex-
tracted from parallel corpora, to evaluate...
Báo cáo khoa học: "Comparison of Alignment Templates and Maximum Entropy Models for Natural Language Understanding" docx
... proven
to be very powerful for statistical machine trans-
lation tasks since they allow for many -to- many
alignments between source and target words (Och
et al., 1999). Alignment templates for NLU ... yields a one-
to- one translation from source words to formal se-
mantic concepts, i.e. the length of both sequences
must be equal
(I = J).
Figure 5 depicts a one-
to- one mapping...
Báo cáo khoa học: "Learning to Rank Answers on Large Online QA Collections" pptx
... pa-
per. To answer our first research objective we will
compare the quality of the rankings provided by this
component against the rankings generated by the IR
model used for answer retrieval. To answer ... adapted and
combined for non-factoid answer ranking, and per-
form a comparative feature analysis using a signif-
icant amount of real-world data. For clarity, we
group the featur...
Tài liệu Báo cáo khoa học: An engineered disulfide bridge mimics the effect of calcium to protect neutral protease against local unfolding docx
... applied
spectroscopic methods, lead to an autoproteolytically
susceptible (intermediate) state. Similarly, Panchal
et al. [33] took advantage of autoproteolysis of the
HIV protease to monitor local unfolding ... act as an
indicator for the occurrence of the intermediate in the
unfolding.
Calcium ions are the main contributory factor
to enzyme stability
The binding of calcium ions seem...
Tài liệu Báo cáo khoa học: "Learning to Translate with Multiple Objectives" doc
... weight vector w, takes in a foreign sen-
tence f and returns a translated hypothesis h. The
argmax operates in vector space and our goal is to
find w leading to hypotheses on the Pareto Frontier.
In ... =FindParetoFrontier({M(h)})
8: foreach h ∈ {h}:
if h ∈ {f}, set l=1, else l=0; Add (l, h) to T
9: end for
10: w
∗
=OptimizationSubroutine(T , w)
11: Add w
∗
to W; Set w = w
∗
.
12: en...
Tài liệu Báo cáo khoa học: "Learning to Find Translations and Transliterations on the Web" doc
... Romanized Chinese characters. Finally,
we use the alignment information to generate
transliteration feature for a Chinese token with
respect to English words in the query.
We extract person or location ... associate features to each Chinese
token (characters or words) to reflect the likelihood
of the token being part of the translation. We
describe how to train a CRF mo...