Computer Engineering

Place name recognition is one of the key tasks in Information
Extraction. In this paper, we tackle this task in English News from
India. We first analyze the results obtained by using available tools
and corpora and then train our own models to obtain better results.
Most of the previous work done on entity recognition for English
makes use of similar corpora for both training and testing. Yet we
observe that the performance drops significantly when we test
the models on different datasets. For this reason, we have trained
various models using combinations of several corpora. Our results
show that training models using combinations of several corpora
improves the relative performance of these models but still more
research on this area is necessary to obtain place name recognizers
that generalize to any given dataset.