Proximity searching consists in retrieving from a database, objects that are close to a query. For this type of searching problem, the most general model is the metric space, where...
We present a passage relevance model for integrating syntactic and semantic evidence of biomedical concepts and topics using a probabilistic graphical model. Component models of t...
Proximity of query terms in a document is an important criterion in IR. However, no investigation has been made to determine the most useful term sequences for which proximity sho...
Jing Bai, Yi Chang, Hang Cui, Zhaohui Zheng, Gordo...
Extractors and taggers turn unstructured text into entityrelation (ER) graphs where nodes are entities (email, paper, person, conference, company) and edges are relations (wrote, ...
An information retrieval IR engine can rank documents based on textual proximityof keywords within each document. In this paper we apply this notion to search across an entire dat...
Roy Goldman, Narayanan Shivakumar, Suresh Venkatas...