... classification with
latent concepts. Experimental results show
that the performance of our algorithm is com-
petitive with the recently proposed hierarchi-
cal classification algorithms.
1 Introduction
Text ... Oregon, June 19-24, 2011.
c
2011 Association for Computational Linguistics
Hierarchical Text Classification with Latent Concepts
Xipeng Qiu, Xuanjing Huang, Zhao Liu...
... Recognizing textual entailment
with LCCs GROUNDHOG system. In Proceedings
of the Second PASCAL Challenges Workshop.
T. Joachims. 1998. Text categorization with support
vector machines: Learning with ... features
look at n-gram based sentence probabilities be-
fore and after the edit, with and without normal-
ization with respect to sentence lengths. The ratio
of the two probabilit...
... syntactic constituents of
subphrases, so it can directly learn synchronous
context-free grammars (SCFG) from a parallel text
without relying on any linguistic annotations or as-
sumptions, which makes ... methods work with the original SCFG
defined by hierarchical phrase-based model and use
linguistic knowledge to assist translation. Instead,
our model works under the new defined SCFG with...
... from a word with
unknown polarity i , it moves to a node j with
probability P
ij
after the first step. The walk con-
tinues until the surfer hits a word with a known
polarity. Seed words with known ... phrases are identified without consider-
ing their context (Wiebe, 2000; Hatzivassiloglou
and Wiebe, 2000; Banea et al., 2008). In the sec-
ond category, the context of subjective text...
... language text, this tool is also
implemented as a front-end processor and
can be combined with a wide variety of
applications. A morphological analyzer
automatically extracts key words from text ... books or documents relevant to the text,
including various kinds of dictionaries and
reference works. The tools used for accessing
relevant information, such as CD-ROM
dictionaries,...
... parts of the text
manipulation process and to integrate un-
derlying computationally-driven text analysis
with human-guided decision making within ex-
ploratory data analysis over text.
References ... has been little work in text data min-
ing to date, and most people who have talked
about it have either conflated it with informa-
tion access or have not made use of text d...
... the text. Recognizing the structure
of text is an essential task in text understanding,
especially in resolving anaphora and ellipsis.
One of the constituents of the text struc-
ture is a text ... similarity of words
in a sequence of text. The similarity of words,
which represents their cohesiveness, is computed
using a semantic network. Comparison with the
text segments...
... this new text plan-
ner and show how it records the information
needed to engage in a dialogue. Finally, a brief
comparison with other approaches to text gen-
eration is presented.
TEXT PLANNER ... participate in a
dialogue with its users, a generation system
must be capable of reasoning about its past
utterances. The text plans built by our text
planner provide a genera...
... interact with
one another was indicated (Whittaker and Walker,
1991). Recently, such theoretical framework has
been developed and used for annotating a corpus
of audiovisual documents with the ... simple inter-
face is provided that allows the user to submit
a text query, with no other specifications. The
results consist of a hit list with thumbnails of
the video-clips related to the...
...
In TBL, rules with different context information
are used successively for solving different prob-
lems. We will use the same context information
for all data. The optimal context size will ... comparing the results of different
context sizes on the training data. Here we will
perform four steps. We will start with testing dif-
fhrent context sizes of words with their part-of-
s...