Developments in Generic Entity Resolution

The Effect of Transitive Closure on the Calibration of Logistic Regression for Entity Resolution

This paper describes a series of experiments in using logistic regression machine learning as a method for entity resolution. From these experiments the authors concluded that when a supervised ML algorithm is trained to classify a pair of entity references as linked or not linked pair, the evaluation of the model’s performance should take into account the transitive closure of its pairwise lin...

Corpus based coreference resolution for Farsi text

"Coreference resolution" or "finding all expressions that refer to the same entity" in a text, is one of the important requirements in natural language processing. Two words are coreference when both refer to a single entity in the text or the real world. So the main task of coreference resolution systems is to identify terms that refer to a unique entity. A coreference resolution tool could be...

Political Developments in Iraq, from the Second Persian Gulf War to the fall of Saddam

PET vs. SPECT: in the context of ongoing developments

This paper intends to compare the abilities of the two major imaging modalities in nuclear medicine imaging: Positron Emission Tomography (PET) and Single Photon Emission Computed Tomography (SPECT). The motivations are many-fold: (i) To gain a better understanding of the strengths and limitations of the two imaging modalities in the context of recent and ongoing developments in hardware ...

Rigid Resolution of a Finitely Generated Module Over a Regular Local Ring