Resummatsioonitehnikad

Resummatsioonitehnikad refer to methods used to summarize lengthy texts or conversations. These techniques aim to extract the most important information and present it in a condensed form, preserving the core meaning and key points.

Common resummatsioonitehnikad include extractive summarization, which involves selecting and concatenating important sentences or phrases directly from the original text. Another approach is abstractive summarization, where the system generates new sentences to convey the main ideas, often rephrasing or synthesizing information from multiple parts of the source.

The process typically involves identifying key entities, themes, and relationships within the data. Algorithms analyze sentence importance based on factors like word frequency, position in the text, and the presence of specific keywords. For conversations, resummatsioonitehnikad might focus on identifying decisions made, action items, or unresolved questions.

These techniques are valuable in various applications, such as generating news headlines, summarizing research papers, condensing meeting minutes, and providing quick overviews of articles or documents. The goal is always to reduce information overload while maintaining the essential content and context. The effectiveness of resummatsioonitehnikad is often evaluated based on the readability, coherence, and accuracy of the generated summaries.