Abstract
We present a comparative study of lexical chain-based summarisation techniques. The aim of this paper is to highlight the effect of lexical chain scoring metrics and sentence extraction techniques on summary generation. We present our own lexical chain-based summarisation system and compare it to other chain-based summarisation systems. We also compare the chain scoring and extraction techniques of our system to those of several other baseline systems, including a random summarizer and one based on tf.idf statistics. We use a task-orientated summarisation evaluation scheme that determines summary quality based on TDT story link detection performance.
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Doran, W., Stokes, N., Carthy, J., Dunnion, J. (2004). Assessing the Impact of Lexical Chain Scoring Methods and Sentence Extraction Schemes on Summarization. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2004. Lecture Notes in Computer Science, vol 2945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24630-5_77
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DOI: https://doi.org/10.1007/978-3-540-24630-5_77
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