Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …

Research publications are the major repository of scientific knowledge. However, their
unstructured and highly heterogenous format creates a significant obstacle to large-scale …

The emergence of “big data” initiatives has led to the need for tools that can automatically
extract valuable chemical information from large volumes of unstructured data, such as the …

A growing volume of heritage data is being digitized and made available as text via optical
character recognition (OCR). Scholars and libraries are increasingly using OCR-generated …

While various claims have been made about text in social media text being noisy, there has
never been a systematic study to investigate just how linguistically noisy or otherwise it is …

In this paper, we present a rule-based sentence boundary disambiguation Python package
that works out-of-the-box for 22 languages. We aim to provide a realistic segmenter which …

The paper reports work on collecting and annotating code-mixed English-Hindi so-cial
media text (Twitter and Facebook messages), and experiments on automatic tagging of …

Background A primary variant of social media, online support groups (OSG) extend beyond
the standard definition to incorporate a dimension of advice, support and guidance for …

Computational syntactic processing is a fundamental technique in natural language
processing. It normally serves as a pre-processing method to transform natural language …

In this paper, we examined several algorithms to detect sentence boundaries in legal text.
Legal text presents challenges for sentence tokenizers because of the variety of …