Cellulose is usually isolated from the other components of plant material for analysis of carbon stable isotope ratios (dC). However, many studies have shown a strong correlation between whole-wood and cellulose dC values, prompting debate about the necessity of cellulose extraction for tree-ring studies. The dC values were measured in whole wood, extractive-free wood, purified cellulose, aceto...

Usually, presence of the same information in multiple documents is the main problem faced in effective information access. Instead of this redundant information thus accessed or retrieved, users are interested in retrieving information that addresses one or other several aspects. In such situation, text summarization proves to be very useful. Not only in Information retrieval, but it is an extr...

This paper presents G-FLOW, a novel system for coherent extractive multi-document summarization (MDS).1 Where previous work on MDS considered sentence selection and ordering separately, G-FLOW introduces a joint model for selection and ordering that balances coherence and salience. G-FLOW’s core representation is a graph that approximates the discourse relations across sentences based on indica...

Extractive speech summarization, aiming to automatically select an indicative set of sentences from a spoken document so as to concisely represent the most important aspects of the document, has become an active area for research and experimentation. An emerging stream of work is to employ the language modeling (LM) framework along with the Kullback-Leibler divergence measure for extractive spe...

Automatic Text Summarization is an interesting topic for research. Still it is growing on. Increment of the data is exponentially growing on and it becomes too much difficult to find out the correct or relevant data in huge amount of data. So it becomes important for researchers to use it for efficient retrieval of information. Hence Text Summarization plays an important role for this problem. ...

Historically, extractive sector MNEs have been seen as an obstacle to sustainable development, because they operated in enclaves with limited local engagement. Importsubstitution policies aimed to increase the local benefits of these resources, restricting FDI. Since liberalisation, extractive MNEs have re-engaged with developing countries through looser governance structures with greater poten...

In this contribution, a different pressure thermally coupled extractive distillation process has been applied on the separation of propylene and propane with aqueous acetonitrile (ACN) solution as entrainer. The novel distillation process integration is the combination of different pressure thermally coupled distillation (DPTCD) and extractive distillation (ED). Both the new process and the con...

The presented work addresses the integrated design of solvent molecules with separation and reactive-separation process systems. The proposed design philosophy relies on extensive structural optimization both at the solvent and process synthesis stage and allows the identification of solvent molecules based on process performance criteria. It employs multi-objective optimization technology in o...

Advances in NLP have yielded impressive results for the task of machine reading comprehension (MRC), with approaches having been reported to achieve performance comparable that humans. In this paper, we investigate whether state-of-the-art MRC models are able correctly process Semantics Altering Modifications (SAM): linguistically-motivated phenomena alter semantics a sentence while preserving ...

Neural document ranking models perform impressively well due to superior language understanding gained from pre-training tasks. However, their complexity and large number of parameters these (typically transformer-based) are often non-interpretable in that decisions can not be clearly attributed specific parts the input documents. In this article, we propose inherently interpretable by generati...