Abstract
In this investigation, we propose a new mechanism to give temporal order to a news article in a form of timestamps. Here we learn temporal data in advance to extract ordering by means of incremental clustering and then we estimate most likely order to news text. In this work, we examine TDT2 corpus and we show how well our approach works by some experiments. © Springer-Verlag 2004.
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APA
Uejima, H., Miura, T., & Shioya, I. (2004). Giving Temporal Order to News Corpus. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3314, 947–953. https://doi.org/10.1007/978-3-540-30497-5_146
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