NIST NAMED HISTORIC CHEMICAL LANDMARK

Brookhaven Lab named historic chemical landmark.

Historic development of chemical notations

The gradual development of SYSTEMS of typed symbols for describing chemical structures and substrunures (radicals) is traced from its beginning in 1787. Such symbols are emphasized because *computers are symbol processors par excellence." Computers are the central tools of the Information Age, but future trends in the management of chemical structure information are likely to reflect deeply roo...

Subset Selection for Landmark Modern and Historic Images

An automatic mechanism for the selection of image subset of modern and historic images out of a landmark large image set collected from the internet is designed in this paper. This selection depends on the extraction of dominant features using Gabor filtering. These features are selected carefully from a preliminary image set and fed into a neural network as a training set. The mechanism collec...

An Open Corpus for Named Entity Recognition in Historic Newspapers

The availability of openly available textual datasets (“corpora”) with highly accurate manual annotations (“gold standard”) of named entities (e.g. persons, locations, organizations, etc.) is crucial in the training and evaluation of named entity recognition systems. Currently there are only few such datasets available on the web, and even less for texts containing historical spelling variation...

Annotation of Chemical Named Entities

We describe the annotation of chemical named entities in scientific text. A set of annotation guidelines defines 5 types of named entities, and provides instructions for the resolution of special cases. A corpus of fulltext chemistry papers was annotated, with an inter-annotator agreement score of 93%. An investigation of named entity recognition using LingPipe suggests that scores of 63% are p...