With the advent of Web 2.0, there exist many online platforms that result in massive textual-
data production. With ever-increasing textual data at hand, it is of immense importance to …

Process of information extraction (IE) is used to extract useful information from unstructured
or semi-structured data. Big data arise new challenges for IE techniques with the rapid …

During the recent era of big data, a huge volume of unstructured data are being produced in
various forms of audio, video, images, text, and animation. Effective use of these …

Background The growing recognition of the microbiome's impact on human health and well-
being has prompted extensive research into discovering the links between microbiome …

Natural language processing (NLP) is useful for extracting information from clinical
narratives, and both traditional machine learning methods and more-recent deep learning …

Abstract Background The United Nations recently made a call to address the challenges of
an estimated 300 million persons worldwide living with a rare disease through the collection …

Abstract We describe MeasEval, a SemEval task of extracting counts, measurements, and
related context from scientific documents, which is of significant importance to the creation of …

Open information extraction (Open IE) is a task for extracting relationship triples in plain texts
without previously determining these relationships. The Open IE systems are generally …

The newly emerged transformer technology has a tremendous impact on NLP research. In
the general English domain, transformer-based models have achieved state-of-the-art …

In the present era of Big Data the demand for developing efficient information processing
techniques for different applications is expanding steadily. One such possible application is …