An Anthological Review of Research Utilizing MontyLingua, a Python-Based End-to-End Text Processor
<|reference_start|>An Anthological Review of Research Utilizing MontyLingua, a Python-Based End-to-End Text Processor: MontyLingua, an integral part of ConceptNet which is currently the largest commonsense knowledge base, is an English text processor developed using Python programming language in MIT Media Lab. The main feature of MontyLingua is the coverage for all aspects of English text processing from raw input text to semantic meanings and summary generation, yet each component in MontyLingua is loosely-coupled to each other at the architectural and code level, which enabled individual components to be used independently or substituted. However, there has been no review exploring the role of MontyLingua in recent research work utilizing it. This paper aims to review the use of and roles played by MontyLingua and its components in research work published in 19 articles between October 2004 and August 2006. We had observed a diversified use of MontyLingua in many different areas, both generic and domain-specific. Although the use of text summarizing component had not been observe, we are optimistic that it will have a crucial role in managing the current trend of information overload in future research.<|reference_end|>
@article{ling2006an,
    title={An Anthological Review of Research Utilizing MontyLingua, a Python-Based
  End-to-End Text Processor},
    author={Maurice HT Ling},
    journal={Ling, Maurice HT. 2006. An Anthological Review of Research
  Utilizing MontyLingua, a Python-Based End-to-End Text Processor. The Python
  Papers 1 (1): 5-13},
    year={2006},
    archivePrefix={arXiv},
    eprint={cs/0611113},
    primaryClass={cs.CL}
}