Unsupervised Technical Domain Terms Extraction (TermTraction - 2020)

Automatic extraction of domain-specific terms based on relevant domain concepts for a given document is a highly challenging task. Domain Term extraction can be defined as the automated process of identifying terminology from domain specific texts. Domain terms are described as textal span which represent/describe the domain. Participants are asked to develop an unsupervised system/s which automatically identify the technical terms from the given text (a document) of English. Such a document provides information about specific technical domains like Computer Science, Physics, Life Science, Law etc.

Domain dependent machine translation needs to pay special attention to the domain configuration especially to the domain terms. Using this as a feature in machine translation (MT) systems has shown benefit for overall translation adequacy.

For this task, Participants will be provided with domain specific corpora/text without any tagging and Participants can use these domain specific monolingual data to develop their unsupervised domain term extraction system/s. Participants have to use only provided monolingual domain corpora for the task but can use available tools to improve their system (i.e POS tagger, morph, etc.).

Goals of the shared task:

• To develop a language processing tool that potentially impacts research and downstream applications like Machine Translation, Summarization, Question Answering etc.
• To provide the community a new dataset and boost the research for Technical domains .
• For the downstream tasks (i.e Machine Translation) technical Domain Term Identification would be the important process. It determines the list of domain terms for a given input text and subsequently Machine Translation can choose its resources.

Task Details