EMNLP
2009
13 years 2 months ago
2009
Randomised techniques allow very big language models to be represented succinctly. However, being batch-based they are unsuitable for modelling an unbounded stream of language whi...
NAACL
2010
13 years 2 months ago
2010
A variety of information extraction techniques rely on the fact that instances of the same relation are "distributionally similar," in that they tend to appear in simila...
NAACL
2010
13 years 2 months ago
2010
The task of identifying the language of text or utterances has a number of applications in natural language processing. Language identification has traditionally been approached w...
ISAMI
2010
13 years 2 months ago
2010
Probabilistic models of languages are fundamental to understand and learn the profile of the subjacent code in order to estimate its entropy, enabling the verification and predicti...
ACL
2010
13 years 2 months ago
2010
We address the problem of selecting nondomain-specific language model training data to build auxiliary language models for use in tasks such as machine translation. Our approach i...
SPIRE
2010
Springer
13 years 3 months ago
2010
Springer
The retrieval of similar documents in the Web from a given document is different in many aspects from information retrieval based on queries generated by regular search engine use...
SIGIR
2002
ACM
13 years 4 months ago
2002
ACM
tion Abstract ChengXiang Zhai (Advisor: John Lafferty) Language Technologies Institute School of Computer Science Carnegie Mellon University With the dramatic increase in online in...
SIGIR
2002
ACM
13 years 4 months ago
2002
ACM
The optimal settings of retrieval parameters often depend on both the document collection and the query, and are usually found through empirical tuning. In this paper, we propose ...
SIGIR
2002
ACM
13 years 4 months ago
2002
ACM
This paper follows a formal approach to information retrieval based on statistical language models. By introducing some simple reformulations of the basic language modeling approa...
SIGIR
2002
ACM
13 years 4 months ago
2002
ACM
We develop a method for predicting query performance by computing the relative entropy between a query language model and the corresponding collection language model. The resultin...