Pushpak Bhattacharyya

TL;DR: It is shown that a feature learned deep learning system is a viable solution to NER task and is able to give comparable results with the existing state-of-the-art feature engineered systems for English.

TL;DR: A phonetico-morphotactic pivot UIT (universal intermediate transcription), based on the common phonetic repository of Indo-Pak languages, is described, which is extendable to other language groups and shows that subjective evaluations are vital for real life usage of a translation system in addition to objective evaluations.

TL;DR: In this paper, the problem of summarizing the relevant tweets is posed as an optimization problem where a subset of tweets is selected using the search capability of multi-objective binary differential evolution (MOBDE) by optimizing different perspectives of the summary.

TL;DR: This paper proposes a very first study to demonstrate the association between the sentiment view of the temporal orientation of the users and their different psycho-demographic attributes by analyzing their tweets, and measures the correlation between the users’ sentimentView of temporal orientation and theirDifferent psycho- Demographic factors using regression.

TL;DR: This paper considers noun compounds and their corresponding prepositional paraphrases as parallelly aligned sequences of words to paraphrase noun compounds using prepositions, and uses LSTMs to learn representations that decide the correct preposition.