@inproceedings{ala-sharma-2020-graph,
    title = "Graph Based Automatic Domain Term Extraction",
    author = "Ala, Hema  and
      Sharma, Dipti",
    editor = "Sharma, Dipti Misra  and
      Ekbal, Asif  and
      Arora, Karunesh  and
      Naskar, Sudip Kumar  and
      Ganguly, Dipankar  and
      L, Sobha  and
      Mamidi, Radhika  and
      Arora, Sunita  and
      Mishra, Pruthwik  and
      Mujadia, Vandan",
    booktitle = "Proceedings of the 17th International Conference on Natural Language Processing (ICON): TermTraction 2020 Shared Task",
    month = dec,
    year = "2020",
    address = "Patna, India",
    publisher = "NLP Association of India (NLPAI)",
    url = "https://preview.aclanthology.org/ingest-emnlp/2020.icon-termtraction.1/",
    pages = "1--4",
    abstract = "We present a Graph Based Approach to automatically extract domain specific terms from technical domains like Biochemistry, Communication, Computer Science and Law. Our approach is similar to TextRank with an extra post-processing step to reduce the noise. We performed our experiments on the mentioned domains provided by ICON TermTraction - 2020 shared task. Presented precision, recall and f1-score for all experiments. Further, it is observed that our method gives promising results without much noise in domain terms."
}