Now showing items 1-10 of 11
Document re-ranking by generality in bio-medical information retrieval.
Document ranking is well known to be a crucial process in information retrieval (IR). It presents retrieved documents in an order of their estimated degrees of relevance to query. Traditional document rank- ing methods ...
Fundamental properties of aboutness.
(ACM Press, 1999-08)
Using the organizational and narrative thread structures in an e-book to support comprehension.
(The Robert Gordon University, 2007-08)
Stories, themes, concepts and references are organized structurally and purposefully in most books. A person reading a book needs to understand themes and concepts within the context. Schank’s Dynamic Memory theory suggested ...
A knowledge acquisition tool to assist case authoring from texts.
(The Robert Gordon University, 2009-03)
Case-Based Reasoning (CBR) is a technique in Artificial Intelligence where a new problem is solved by making use of the solution to a similar past problem situation. People naturally solve problems in this way, without ...
Aboutness from a commonsense perspective.
Information retrieval (IR) is driven by a process which decides whether a document is about a query. Recent attempts spawned from logic-based information retrieval theory have formalized properties characterizing ...
Commonsense aboutness for information retrieval.
(IOS Press, 2000)
Information retrieval (IR) is driven by a process which decides whether a document is about a query. Recent attempts have been made to formalize properties of “aboutness”, but no consensus has been reached. The properties ...
A latent variable model for query expansion using the hidden Markov model.
We propose a novel probabilistic method based on the Hid- den Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed LVM, the combinations of query terms ...
Introduction to special issue on reasoning in natural language information processing.
For any applications related to Natural Language Processing (NLP), reasoning has been recognized as a necessary underlying aspect. Most of the existing work in NLP deals with specific NLP problems in a highly heuristic ...
LRD: latent relation discovery for vector space expansion and information retrieval.
In this paper, we propose a text mining method called LRD (latent relation discovery), which extends the traditional vector space model of docu-ment representation in order to improve information retrieval (IR) on docu-ments ...
Automatically structuring domain knowledge from text: a review of current research.
This paper presents an overview of automatic methods for building domain knowledge structures (domain models) from text collections. Applications of domain models have a long history within knowledge engineering and ...