Thai stock brokers issue daily stock news for their customers. One broker labels these news with plus, minus and zero sign to indicate the type of recommendation. This paper proposed to classify Thai stock news by extracting important texts from the news. The extracted text is in a form of a ‘wordpair’. Three wordpair sets, manual wordpairs extraction (ME), manual wordpairs addition (MA), and a...

In a trial conducted at the University of Minnesota Southwest research and Outreach Center, Lamberton, MN, Headline fungicide was applied at three rates at V5, at two rates at R2 and at one rate at V5 and R2. At R4, Headline, Quadris Tilt ad Bravo were applied at a single rate each. Additionally at R4 Warrior was applied alone and in combination with Headline and Quadris, Lorsban was applied wi...

The credibility and trustworthiness of online content has become a major societal issue as human communication information exchange continues to evolve digitally. prevalence misinformation, circulated by fraudsters, trolls, political activists state-sponsored actors, motivated heightened interest in automated evaluation curation tools. We present an system aid users assessments web pages, focus...

Headline summarization is a difficult task because it requires maximizing text content in short summary length while maintaining grammaticality. This paper describes our first attempt toward solving this problem with a system that generates key headline clusters and fine-tunes them using templates.

Criticism of journalists for creating confusion and needless anxiety is sometimes fully justified. On other occasions, at least part of the blame lays elsewhere. Consider the following. A headline in the Sunday Times on 14 May read: “Killer bug alert over organic vegetables.” The story continued “Tesco yesterday withdrew all organic mushrooms from its shelves after routine checks by environment...

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In this paper, a multi-tag anti-collision method with collision signal recovery for UHF RFID systems is proposed. Signal recovery of 2 tags or 3 tags is adopted in the algorithm and the frame size is optimized accordingly. Simulation results show that the average system efficiency of the proposed anti-collision algorithm can be up to 67%, while the system efficiency of the algorithms without ad...

Recent neural headline generation models have shown great results, but are generally trained on very large datasets. We focus our efforts on improving headline quality on smaller datasets by the means of pretraining. We propose new methods that enable pre-training all the parameters of the model and utilize all available text, resulting in improvements by up to 32.4% relative in perplexity and ...