Writer’s uncertainty identification in scientific biomedical articles: a tool for automatic if-clause tagging

A hybrid approach for automatic clause boundary identification in Hindi

A complex sentence, divided into clauses, can be analyzed more easily than the complex sentence itself. We present here, the task of clauses identification in Hindi text. To the best of our knowledge, not much work has been done on clause boundary identification for Hindi, which makes this task more important. We have built a Hybrid system which gives 90.804% F1-scores and 94.697% F1-scores for...

Green fluorescent protein tagging: A novel tool in biomedical research

In recent years, the green fluorescent protein (GFP) isolated from the jellyfish, Aequorea victoria, has become a novel tool in biomedical research. The tagging of GFP to proteins of interest has widely been used in studies involving various biological events both in vitro and in vivo. In this report, the authors demonstrate the utility of GFP tagging for studying localization of protein kinase...

Automatic keyphrase extraction from scientific articles

This paper describes the organization and results of the automatic keyphrase extraction task held at the Workshop on Semantic Evaluation 2010 (SemEval-2010). The keyphrase extraction task was specifically geared towards scientific articles. Systems were automatically evaluated by matching their extracted keyphrases against those assigned by the authors as well as the readers to the same documen...

Automatic Identification of Chinese Event Descriptive Clause

This paper gives a new definition of Chinese clause called ”Event Descriptive Clause” and proposes an automatic method to identify these clauses in Chinese sentence. By analyzing the characteristics of the clause, the recognition task is formulated as a classification of Chinese punctuations. The maximum entropy classifier is trained and two kinds of useful features and their combinations are e...

Discourse-Level Argumentation in Scientific Articles: Human and Automatic Annotation