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 | 197 | 2013 |
Similarity measures based on latent dirichlet allocation V Rus, N Niraula, R Banjade Computational Linguistics and Intelligent Text Processing: 14th …, 2013 | 87 | 2013 |
Latent semantic analysis models on wikipedia and tasa D Ștefănescu, R Banjade, V Rus Language resources evaluation conference (LREC), 2014 | 46 | 2014 |
Experiments with semantic similarity measures based on lda and lsa N Niraula, R Banjade, D Ştefănescu, V Rus Statistical Language and Speech Processing: First International Conference …, 2013 | 43 | 2013 |
DeepTutor: An effective, online intelligent tutoring system that promotes deep learning V Rus, N Niraula, R Banjade Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 42 | 2015 |
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 | 39 | 2015 |
On Paraphrase Identification Corpora. V Rus, R Banjade, MC Lintean LREC, 2422-2429, 2014 | 39 | 2014 |
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 Computational Linguistics and Intelligent Text Processing: 16th …, 2015 | 36 | 2015 |
A sentence similarity method based on chunking and information content D Ştefănescu, R Banjade, V Rus Computational Linguistics and Intelligent Text Processing: 15th …, 2014 | 28 | 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 | 24 | 2017 |
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 | 22 | 2014 |
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 | 21 | 2016 |
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 | 19 | 2015 |
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 | 18 | 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 | 14 | 2015 |
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 | 13 | 2013 |
Long short term memory based models for negation handling in tutorial dialogues D Gautam, N Maharjan, R Banjade, LJ Tamang, V Rus The Thirty-First International Flairs Conference, 2018 | 12 | 2018 |
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 | 12 | 2016 |
Product recommendations using linear predictive modeling R Banjade, S Maharjan 2011 Second Asian Himalayas International Conference on Internet (AH-ICI), 1-4, 2011 | 11 | 2011 |
Dialogue act classification in human-to-human tutorial dialogues V Rus, N Maharjan, R Banjade Innovations in smart learning, 185-188, 2017 | 9 | 2017 |