no code implementations • SEMEVAL 2017 • Nabin Maharjan, Rajendra Banjade, Dipesh Gautam, Lasang J. Tamang, Vasile Rus
We describe our system (DT Team) submitted at SemEval-2017 Task 1, Semantic Textual Similarity (STS) challenge for English (Track 5).
no code implementations • LREC 2016 • Nabin Maharjan, Rajendra Banjade, Nobal Bikram Niraula, Vasile Rus
This paper introduces a ruled-based method and software tool, called SemAligner, for aligning chunks across texts in a given pair of short English texts.
no code implementations • LREC 2016 • Rajendra Banjade, Vasile Rus
Existing negation datasets have focused on non-dialogue texts such as literary texts where the scope and focus of negation is normally present within the same sentence where the negation is located and therefore are not the most appropriate to inform the development of negation handling algorithms for dialogue-based systems.
no code implementations • LREC 2014 • Dan {\textcommabelow{S}}tef{\u{a}}nescu, Rajendra Banjade, Vasile Rus
This paper introduces a collection of freely available Latent Semantic Analysis models built on the entire English Wikipedia and the TASA corpus.
no code implementations • LREC 2014 • Vasile Rus, Rajendra Banjade, Mihai Lintean
We analyze in this paper a number of data sets proposed over the last decade or so for the task of paraphrase identification.
no code implementations • LREC 2014 • Nobal Niraula, Vasile Rus, Rajendra Banjade, Dan Stefanescu, William Baggett, Brent Morgan
To the best of our knowledge, no data set is currently available for pronoun resolution in dialogue based intelligent tutoring systems.