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This paper describes the use of statistical analyses of untagged corpora to detect similarities and differences in the mean- ing of words in text. This work is mo- tivated by …...

We present results of experiments with Elman recurrent neural networks (Elman, 1990) trained on a natural language processing task. The task was to learn sequences of word categories in a …...

Language variations are generally known to have a severe impact on the performance of Human Language Technology Systems. In or- der to predict or improve system performance, a thorough investigation …...

Online debates sparkle argumentative discus- sions from which generally accepted argu- ments often emerge. We consider the task of unsupervised identification of prominent argu- ment in online debates. As a …...

AbstractVector space models and distributional information are widely used in NLP. The models typically rely on complex, high-dimensional objects. We present an interactive visualisation tool to explore salient lexical-semantic features …...

AbstractResearch into representation learning models of lexical semantics usually utilizes some form of intrinsic evaluation to ensure that the learned representations reflect human semantic judgments. Lexical semantic similarity estimation is …...