|
, informing , story-telling , etc . This
|
paper
|
addresses the problem of the
<term>
automatic
|
#108
This paper addresses the problem of the automatic detection of those activities in meeting situation and everyday rejoinders. |
|
infrastructure
</term>
for this purpose . In this
|
paper
|
we show how two standard outputs from
<term>
|
#276
In this paper we show how two standard outputs from information extraction (IE) systems - named entity annotations and scenario templates - can be used to enhance access to text collections via a standard text browser. |
|
machine learning techniques
</term>
. In this
|
paper
|
, we address the problem of combining several
|
#1029
In this paper, we address the problem of combining several language models (LMs). |
|
</term>
conducted with the U.S. military . This
|
paper
|
proposes a practical approach employing
|
#1242
This paper proposes a practical approach employing n-gram models and error-correction rules for Thai key prediction and Thai-English language identification. |
|
Thai-English language identification
</term>
. The
|
paper
|
also proposes
<term>
rule-reduction algorithm
|
#1263
The paper also proposes rule-reduction algorithm applying mutual information to reduce the error-correction rules. |
|
one or more
<term>
sentences
</term>
. In this
|
paper
|
, we present
<term>
SPoT
</term>
, a
<term>
sentence
|
#1337
In this paper, we present SPoT, a sentence planner, and a new methodology for automatically training SPoT on the basis of feedback provided by human judges. |
|
human-ranked sentence plan
</term>
. In this
|
paper
|
, we compare the relative effects of
<term>
|
#1463
In this paper, we compare the relative effects of segment order, segmentation and segment contiguity on the retrieval performance of a translation memory system. |
|
parsed in
<term>
O ( n6 ) time
</term>
. In this
|
paper
|
, we study a
<term>
parsing technique
</term>
|
#1681
In this paper, we study a parsing technique whose purpose is to improve the practical efficiency of RCL parsers. |
|
<term>
syntactic paraphrases
</term>
. This
|
paper
|
presents a
<term>
formal analysis
</term>
for
|
#1816
This paper presents a formal analysis for a large class of words called alternative markers, which includes other (than), such (as), and besides. |
|
or rule-based approaches
</term>
. In this
|
paper
|
We experimentally evaluate a
<term>
trainable
|
#2052
In this paper We experimentally evaluate a trainable sentence planner for a spoken dialogue system by eliciting subjective human judgments. |
|
relationships among the target variables . This
|
paper
|
describes a method for
<term>
utterance classification
|
#2206
This paper describes a method for utterance classification that does not require manual transcription of training data. |
|
average precision metric
</term>
. In this
|
paper
|
we present
<term>
ONTOSCORE
</term>
, a system
|
#2437
In this paper we present ONTOSCORE, a system for scoring sets of concepts on the basis of an ontology. |
|
performance of our
<term>
systems
</term>
. In this
|
paper
|
, we introduce a
<term>
generative probabilistic
|
#2669
In this paper, we introduce a generative probabilistic optical character recognition (OCR) model that describes an end-to-end process in the noisy channel framework, progressing from generation of true text through its transformation into the noisy output of an OCR system. |
|
conversational speech
</term>
are limited . In this
|
paper
|
, we show how
<term>
training data
</term>
|
#3030
In this paper, we show how training data can be supplemented with text from the web filtered to match the style and/or topic of the target recognition task, but also that it is possible to get bigger performance gains from the data by using class-dependent interpolation of N-grams. |
|
performance for some
<term>
NE types
</term>
. In this
|
paper
|
, we describe a
<term>
phrase-based unigram
|
#3391
In this paper, we describe a phrase-based unigram model for statistical machine translation that uses a much simpler set of model parameters than similar phrase-based models. |
|
counts and
<term>
phrase
</term>
length . In this
|
paper
|
, we propose a novel
<term>
Cooperative Model
|
#3479
In this paper, we propose a novel Cooperative Model for natural language understanding in a dialogue system. |
|
question answering session
</term>
. In this
|
paper
|
we present a novel , customizable
<term>
|
#3713
In this paper we present a novel, customizable IE paradigm that takes advantage of predicate-argument structures. |
|
high quality
<term>
IE
</term>
results . This
|
paper
|
proposes the
<term>
Hierarchical Directed
|
#3790
This paper proposes the Hierarchical Directed Acyclic Graph (HDAG) Kernel for structured natural language data. |
|
<term>
new event detection
</term>
. In this
|
paper
|
we formulate
<term>
story link detection
</term>
|
#4065
In this paper we formulate story link detection and new event detection as information retrieval task and hypothesize on the impact of precision and recall on both systems. |
|
Experimental results validate our hypothesis . This
|
paper
|
concerns the
<term>
discourse understanding
|
#4127
This paper concerns the discourse understanding process in spoken dialogue systems. |