Topic Segmentation Task
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A Topic Segmentation Task is a text segmentation task for topic changes.
- Context:
- performance measures: e.g. WindowDiff.
- It can be solved by a Topic Segmentation System (that implements a topic segmentation algorithm).
- It can support Semantic Tasks, such as: Information Retrieval, Question Answering, document classification, speech recognition, and text summarizing.
- It can range from being a Soft-Boundary Topic Segmentation Task to being a Hard-Boundary Topic Segmentation Task.
- It can face challenges due to the ambiguous nature of topic boundaries and requires consideration of lexical, syntactic, and semantic aspects of the text.
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- Example(s):
- Topic segmentation in a document covering multiple subjects, like a news article discussing different events.
- Segmentation of a long academic paper into sections based on different research topics or methods discussed.
- An automated system dividing a corporate meeting transcript into segments each representing a different discussion topic.
- A machine learning model trained on WikiSection dataset to identify topic shifts in articles about cities and diseases.
- Implementing topic segmentation in an online forum to categorize posts into different discussion threads automatically.
- one based on WikiSection.
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- Counter-Example(s):
- See: Text Summarization, Document Classification, Natural Language Processing.