Text summarization condenses a text to a shorter version while retaining the important informations. Abstractive summarization is a recent development that generates new phrases, rather than simply copying or rephrasing sentences within the original text. Recently neural sequence-to-sequence models have achieved good results in the field of abstractive summarization, which opens new possibiliti...

Extractive distillation is an alternative for ethanol dehydration processes that has been shown to be more effective than azeotropic distillation and, in close proximity, to be very competitive against the process that uses adsorption with molecular sieves. Glycols have been shown to be the most effective solvents in extractive distillation, mainly ethylene glycol and glycerol. In this work, an...

The possibility of separating divinyl from the butene-divinyl fraction by method extractive distillation is considered. A comparative evaluation process was performed using methanol and acetonitrile as agents

Increases in spiny lobster size and abundance have been observed within some marine protected areas (MPAs). To date, the potential economic benefits of these changes have been assumed to derive from the effects of emigration of adult lobster to adjacent fishing grounds and/or increased larval export to downstream nurseries that sustain fisheries. According to economic theory, these effects may ...

In this paper we present a method for re-using the human judgements on summary quality provided by the DUC contest. The score to be awarded to automatic summaries is calculated as a function of the scores assigned manually to the most similar summaries for the same document. This approach enhances the standard n-gram based evaluation of automatic summarization systems by establishing similariti...

We consider the problem of modeling the content structure of texts within a specific domain, in terms of the topics the texts address and the order in which these topics appear. We first present an effective knowledge-lean method for learning content models from unannotated documents, utilizing a novel adaptation of algorithms for Hidden Markov Models. We then apply our method to two complement...

Challenging evaluation of tropical forest biodiversity requires the reporting of taxonomic diversity but also the systematic characterization of wood properties in order to discover new promising species for timber industry. Among wood properties, the dimensional stability is regarded as a major technological characteristic to validate whether a wood species is adapted to commercial uses. Cell ...

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We propose a new method for query-oriented extractive multi-document summarization. To enrich the information need representation of a given query, we build a co-occurrence graph to obtain words that augment the original query terms. We then formulate the summarization problem as a Maximum Coverage Problem with Knapsack Constraints based on word pairs rather than single words. Our experiments w...