Rajendra Banjade
Rajendra Banjade
Sr. Data Scientist, Audible (Amazon company)
Verified email at amazon.com - Homepage
Cited by
Cited by
Semilar: The semantic similarity toolkit
V Rus, M Lintean, R Banjade, NB Niraula, D Stefanescu
Proceedings of the 51st annual meeting of the association for computational …, 2013
Similarity measures based on latent dirichlet allocation
V Rus, N Niraula, R Banjade
International Conference on Intelligent Text Processing and Computational …, 2013
Latent semantic analysis models on wikipedia and tasa
D Ștefănescu, R Banjade, V Rus
Language resources evaluation conference (lrec), 2014
NeRoSim: A System for Measuring and Interpreting Semantic Textual Similarity
R Banjade, NB Niraula, N Maharjan, V Rus, D Stefanescu, M Lintean, ...
9th International Workshop on Semantic Evaluation, SemEval, 164–171, 2015
Lemon and tea are not similar: Measuring word-to-word similarity by combining different methods
R Banjade, N Maharjan, NB Niraula, V Rus, D Gautam
International conference on intelligent text processing and computational …, 2015
On Paraphrase Identification Corpora.
V Rus, R Banjade, MC Lintean
LREC, 2422-2429, 2014
Experiments with semantic similarity measures based on lda and lsa
N Niraula, R Banjade, D Ştefănescu, V Rus
International conference on statistical language and speech processing, 188-199, 2013
DeepTutor: an effective, online intelligent tutoring system that promotes deep learning
V Rus, NB Niraula, R Banjade
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence …, 2015
The DARE Corpus: A Resource for Anaphora Resolution in Dialogue Based Intelligent Tutoring Systems.
NB Niraula, V Rus, R Banjade, D Stefanescu, W Baggett, B Morgan
LREC, 3199-3203, 2014
DT_Team at SemEval-2017 Task 1: Semantic Similarity Using Alignments, Sentence-Level Embeddings and Gaussian Mixture Model Output
N Maharjan, R Banjade, D Gautam, LJ Tamang, V Rus
Proceedings of the 11th international workshop on semantic evaluation …, 2017
A sentence similarity method based on chunking and information content
D Ştefănescu, R Banjade, V Rus
International conference on intelligent text processing and computational …, 2014
Evaluation Dataset (DT-Grade) and Word Weighting Approach towards Constructed Short Answers Assessment in Tutorial Dialogue Context
R Banjade, N Maharjan, NB Niraula, D Gautam, B Samei, V Rus
Combining word representations for measuring word relatedness and similarity
NB Niraula, D Gautam, R Banjade, N Maharjan, V Rus
The twenty-eighth international flairs conference, 2015
Dt-neg: Tutorial dialogues annotated for negation scope and focus in context
R Banjade, V Rus
Proceedings of the Tenth International Conference on Language Resources and …, 2016
Recommendations for the generalized intelligent framework for tutoring based on the development of the deeptutor tutoring service
V Rus, N Niraula, M Lintean, R Banjade, D Stefanescu, W Baggett
AIED 2013 Workshops Proceedings 7, 116, 2013
Automated Assessment of Open-ended Student Answers in Tutorial Dialogues Using Gaussian Mixture Models.
N Maharjan, R Banjade, V Rus
FLAIRS Conference, 98-103, 2017
Dtsim at semeval-2016 task 2: Interpreting similarity of texts based on automated chunking, chunk alignment and semantic relation prediction
R Banjade, N Maharjan, NB Niraula, V Rus
Proceedings of the 10th international workshop on semantic evaluation …, 2016
Towards Detecting Intra- and Inter-Sentential Negation Scope and Focus in Dialogue
R Banjade, N Niraula, V Rus
The Twenty-Ninth International Flairs Conference, 198-203, 2016
Unsupervised discovery of tutorial dialogue modes in human-to-human tutorial data
V Rus, N Maharjan, R Banjade
Proceedings of the third annual gift users symposium, 63-80, 2015
A study on two hint-level policies in conversational intelligent tutoring systems
V Rus, R Banjade, N Niraula, E Gire, D Franceschetti
Innovations in smart learning, 175-184, 2017
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