Objective: Many studies have suggested that there is a relationship between coherence and cognitive processes. This study aims at investigating this hypothesis through assessing the relationship between cognitive variables and coherence in the discourse of two groups of Persian-speaking younger and older adults. Methods: In order to evaluate our participants' cognitive capabilities, we recrui...

Text coherence evaluation becomes a vital and lovely task in Natural Language Processing subfields, such as text summarization, question answering, text generation and machine translation. Existing methods like entity-based and graph-based models are engaging with nouns and noun phrases change role in sequential sentences within short part of a text. They even have limitations in global coheren...

Typically, commercially available shared memory machines have addressed the cache coherence problem with hardware strategies based on global inter-cache communication. However, global communication limits scalability and eeciency. \Local knowledge" coherence strategies, which avoid global communication at run-time, ooer better scal-ability, at the cost of some additional cache misses. The most ...

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We consider a model of bosons on a regular lattice with a kinetic energy due to hopping among sites and a potential energy due to strong on site interaction. A superfluid phase is expected when the ground state of the local energy is doubly degenerate. We consider a new scheme of simmetry breaking associated to the superfluid phase in which the order parameter is the statistical average of the ...

We propose a local coherence model based on a convolutional neural network that operates over the entity grid representation of a text. The model captures long range entity transitions along with entity-specific features without loosing generalization, thanks to the power of distributed representation. We present a pairwise ranking method to train the model in an end-to-end fashion on a task an...

We propose a computationally efficient graph-based approach for local coherence modeling. We evaluate our system on three tasks: sentence ordering, summary coherence rating and readability assessment. The performance is comparable to entity grid based approaches though these rely on a computationally expensive training phase and face data sparsity problems.

This paper addresses the question of how to increase local coherence in summaries of multi-party conversations. Due to the interactive nature of dialogues, local regions of coherence often stretch across diierent speakers, as for instance in question-answer pairs. We present an approach to automatically detect those regions of local coherence and evaluate the resulting summaries' uency and info...