...
cision in an information retrieval system.
The noun-phrase analysis techniques are
also potentially useful for book indexing
and automatic thesaurus extraction.
1 Introduction
1.1 Information ... Noun-Phrase Analysis in Unrestricted Text for Information Retrieval
David A. Evans, Chengxiang Zhai
Laboratory for Computational Linguistics
Carnegie Mellon Univerist...
... heuristics which
employ information originated from
morphosyntactic or shallow semantic analysis,
e.g. in Baldwin (1997). These approaches,
however, perform remarkably well. In Lappin and
Leass (1994) ...
Dept. Information Systems and
Computation
Valencia University of Technology
lmoreno@dsic.upv.es
Abstract
In this paper we deal with several kinds of
anaphora in unre...
...
between structural context and meaning, and
that the barest kind of routine comparison re-
sults in a high (although not absolute) degree of
accuracy in the determination of meaning.
Non-structural ... treatment of the pro-
blem of inflected forms, for example, it is im-
possible in the majority of instances to identify
the grammatical case of Russian nouns. In
addition to...
... time-
consuming and not easy to carry out in a high number
of samples. In addition, the information obtained by
nuclear run-on shows the location of active polymerases,
but it gives no information ... &
Kokubo T (2001) Mutations in the TATA-binding pro-
tein, affecting transcriptional activation, show
synthetic lethality with the TAF145 gene lacking the
TAF N-terminal domain in...
... = 0}.
For the purposes of modelling word-meanings, we
might think of ‘orthogonal’ as a model for ‘com-
pletely unrelated’ (having similarity score zero).
This makes perfect sense for information ... 4.
3 Other forms of Negation in IR
There have been rigourous studies of Boolean op-
erators for information retrieval, including the p-
norms of Salton et al. (1983) and the matrix f...
... student’s understanding of that
facet. Finally, we train a machine learning classi-
fier on training data and use it to classify unseen
test examples, assigning a Table 1 label for each
reference ... this paper
is on this fine-grained facet-based representation –
considerations in defining it, the process of extract-
ing it, and the benefit of using it.
2 Representing the Target Kno...
... in the introduction and
in section 2, since CRFs and models for parsing
constitute the main issue in our work, we discuss
some important models here.
Beyond the models for parsing discussed in
section ... de-
scribed in (Charniak, 2000; Charniak et al., 1998)
and (Collins, 1997), integrate more information
than what is used in equations 4 and 5. Consider-
ing a particular no...
... is assigned the value “root” for
states containing a root and the value “morph” for
states containing a morpheme. Since there are no
prefixes in Turkish, a model trained with this feature
will ... reasons for
this. One can be that morphological information is
not helpful in NER tasks. Morphemes in Turkish
words are giving the necessary syntactic meaning to
the word which may not...
... of NTP binding by blocking the NTP-bind-
ing site with NTP analogs may also be a possible way
to inhibit the NTPase and subsequently the helicase
activity (Fig. 1). This binding results in the ... by obstructing NTP binding, (iii) inhibits NTPase activity via
an undefined or allosteric mechanism, (iv) inhibits the coupling of NTP hydrolysis with the unwinding reaction, and (v) inhibits trans...
... many important learning
and inference problems including min-risk decod-
ing, training globally normalized log-linear mod-
els, syntactic language modeling, and unsupervised
learning via the EM algorithm ... many important learning
and inference problems including min-risk decod-
ing, training globally normalized log-linear mod-
els, syntactic language modeling, and unsupervised
learning via...