OF THE THESIS Part-Of-Speech Tag Embedding for Modeling Sentences and Documents

in a speech community, people utilize their communicative competence which they have acquired from their society as part of their distinctive sociolinguistic identity. they negotiate and share meanings, because they have commonsense knowledge about the world, and have universal practical reasoning. their commonsense knowledge is embodied in their language. thus, not only does social life depend...

The perceived prominence of three parts of speech (POS), nouns, verbs and adjectives, in three utterance positions, initial, intermediate and final, were examined in a perceptual experiment to see whether previously observed reductions in prominence of intermediate items were the result of positional effects or because words in this position belonged to the same POS, namely verbs. It was found ...

Story link detection has been regarded as a core technology for other Topic Detection and Tracking tasks such as new event detection. In this paper we analyze story link detection and new event detection in a retrieval framework and examine the effect of a number of techniques, including part of speech tagging, new similarity measures, and an expanded stop list, on the performance of the two de...

Pre-trained word embeddings improve the performance of a neural model at the cost of increasing the model size. We propose to benefit from this resource without paying the cost by operating strictly at the sublexical level. Our approach is quite simple: before task-specific training, we first optimize sub-word parameters to reconstruct pre-trained word embeddings using various distance measures...