Ontology learning from text: A look back and into the future
Ontologies are often viewed as the answer to the need for interoperable semantics in
modern information systems. The explosion of textual information on the Read/Write Web …
modern information systems. The explosion of textual information on the Read/Write Web …
Statistical language models for information retrieval a critical review
CX Zhai - Foundations and Trends® in Information Retrieval, 2008 - nowpublishers.com
Statistical language models have recently been successfully applied to many information
retrieval problems. A great deal of recent work has shown that statistical language models …
retrieval problems. A great deal of recent work has shown that statistical language models …
The probabilistic relevance framework: BM25 and beyond
S Robertson, H Zaragoza - Foundations and Trends® in …, 2009 - nowpublishers.com
Abstract The Probabilistic Relevance Framework (PRF) is a formal framework for document
retrieval, grounded in work done in the 1970–1980s, which led to the development of one of …
retrieval, grounded in work done in the 1970–1980s, which led to the development of one of …
[LIBRO][B] An introduction to information retrieval
CD Manning - 2009 - edl.emi.gov.et
As recently as the 1990s, studies showed that most people preferred getting information
from other people rather than from information retrieval systems. Of course, in that time …
from other people rather than from information retrieval systems. Of course, in that time …
[LIBRO][B] Modern information retrieval
R Baeza-Yates, B Ribeiro-Neto - 1999 - people.ischool.berkeley.edu
Information retrieval (IR) has changed considerably in recent years with the expansion of the
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …
[PDF][PDF] Latent semantic indexing: A probabilistic analysis
Latent semantic indexing (LX) is an information retrieval technique based on the spectral
analysis of the term-document matrix, whose empirical success had heretofort been without …
analysis of the term-document matrix, whose empirical success had heretofort been without …
A study of smoothing methods for language models applied to ad hoc information retrieval
C Zhai, J Lafferty - ACM Sigir Forum, 2017 - dl.acm.org
Language modeling approaches to information retrieval are attractive and promising
because they connect the problem of retrieval with that of language model estimation, which …
because they connect the problem of retrieval with that of language model estimation, which …
Probabilistic models of information retrieval based on measuring the divergence from randomness
We introduce and create a framework for deriving probabilistic models of Information
Retrieval. The models are nonparametric models of IR obtained in the language model …
Retrieval. The models are nonparametric models of IR obtained in the language model …
A study of smoothing methods for language models applied to information retrieval
C Zhai, J Lafferty - ACM Transactions on Information Systems (TOIS), 2004 - dl.acm.org
Language modeling approaches to information retrieval are attractive and promising
because they connect the problem of retrieval with that of language model estimation, which …
because they connect the problem of retrieval with that of language model estimation, which …
A markov random field model for term dependencies
This paper develops a general, formal framework for modeling term dependencies via
Markov random fields. The model allows for arbitrary text features to be incorporated as …
Markov random fields. The model allows for arbitrary text features to be incorporated as …