This paper presents the system submitted by University of Wolverhampton for SemEval-2014 task 1. We proposed a machine learning approach which is based on features extracted using Typed Dependencies, Paraphrasing, Machine Translation evaluation metrics, Quality Estimation metrics and Corpus Pattern Analysis. Our system performed satisfactorily and obtained 0.711 Pearson correlation for the sema...

Paraphrasing what Gregory Bateson says on evolution, we might say that: "Immunology has long been badly taught. In particular, students--and even professional immunologists--acquire theories of immunological activity without any deep understanding of what problems these theories attempt to solve."

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In this paper we propose a controlled language approach to text optimisation in the field of technical documentation. Within this approach, we use stylistic paraphrases as instrument to the optimisation process. We present various categories of paraphrasing principles and describe their implementation in the corrector component of a controlled language checker.

frequency: neuron firing probabilities for acoustic and electric stimulation of the auditory nerve. Readers may only download, print and save electronic copies of whole works for their own personal non-commercial use. Any use that exceeds these limits requires permission from the copyright owner. Attribution is essential when quoting or paraphrasing from these works.

Shal l2 is a knowledge-based machine translation system with a symmetric architecture. The grammar rules, mapping rules between syntactic and conceptual (semantic) representations, and transfer rules for conceptual paraphrasing are all bi-directional knowledge sources used by both a parser and a generator.

Recognizing lexical inferences between pairs of terms is a common task in NLP applications, which should typically be performed within a given context. Such context-sensitive inferences have to consider both term meaning in context as well as the fine-grained relation holding between the terms. Hence, to develop suitable lexical inference methods, we need datasets that are annotated with fine-g...