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This paper describes the architecture and re- sults of the University of Jaén system pre- sented at the SENSEVAL-3 for the English- lexical-sample and English-All-Words tasks. The system is based …...

We propose a neural network approach to benefit from the non-linearity of corpus- wide statistics for part-of-speech (POS) tagging. We investigated several types of corpus-wide information for the words, such …...

Lexical sparsity is a major challenge for machine translation into morphologically rich lan- guages. We address this problem by modeling sequences of fine-grained morphological tags in a bilingual context. To …...

AbstractMeasuring entity relatedness is a fundamental task for many natural language processing and information retrieval applications. Prior work often studies entity relatedness in a static setting and unsupervised manner. However, …...

AbstractEmotion Representation Mapping (ERM) has the goal to convert existing emotion ratings from one representation format into another one, e.g., mapping Valence-Arousal-Dominance annotations for words or sentences into Ekman’s Basic …...

AbstractStoryline generation aims to extract events described on news articles under a certain news topic and reveal how those events evolve over time. Most approaches to storyline generation first train …...

AbstractCommunicating through social platforms has become one of the principal means of personal communications and interactions. Unfortunately, healthy communication is often interfered by offensive language that can have damaging effects …...