Rajendra Banjade

According to our database1, Rajendra Banjade authored at least 32 papers between 2013 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Automated Assessment of Quality of Jupyter Notebooks Using Artificial Intelligence and Big Code.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2019
Assessing Student Response in Tutorial Dialogue Context using Probabilistic Soft Logic.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

2018
Long Short Term Memory Based Models for Negation Handling in Tutorial Dialogues.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

2017
DT_Team at SemEval-2017 Task 1: Semantic Similarity Using Alignments, Sentence-Level Embeddings and Gaussian Mixture Model Output.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Automated Assessment of Open-ended Student Answers in Tutorial Dialogues Using Gaussian Mixture Models.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Pooling Word Vector Representations Across Models.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2017

2016
DTSim at SemEval-2016 Task 2: Interpreting Similarity of Texts Based on Automated Chunking, Chunk Alignment and Semantic Relation Prediction.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

DTSim at SemEval-2016 Task 1: Semantic Similarity Model Including Multi-Level Alignment and Vector-Based Compositional Semantics.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

SemAligner: A Method and Tool for Aligning Chunks with Semantic Relation Types and Semantic Similarity Scores.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

DT-Neg: Tutorial Dialogues Annotated for Negation Scope and Focus in Context.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Towards Detecting Intra- and Inter-Sentential Negation Scope and Focus in Dialogue.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

Handling Missing Words by Mapping Across Word Vector Representations.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

Preliminary Results On Dialogue Act and Subact Classification in Chat-based Online Tutorial Dialogues.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

Evaluation Dataset (DT-Grade) and Word Weighting Approach towards Constructed Short Answers Assessment in Tutorial Dialogue Context.
Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, 2016

2015
NeRoSim: A System for Measuring and Interpreting Semantic Textual Similarity.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Automated Labelling of Dialogue Modes In Tutorial Dialogues.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

Combining Word Representations for Measuring Word Relatedness and Similarity.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

Using an Implicit Method for Coreference Resolution and Ellipsis Handling in Automatic Student Answer Assessment.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

Lemon and Tea Are Not Similar: Measuring Word-to-Word Similarity by Combining Different Methods.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015

Integrating Learning Progressions in Unsupervised After-School Online Intelligent Tutoring.
Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

DeepTutor: An Effective, Online Intelligent Tutoring System That Promotes Deep Learning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Latent Semantic Analysis Models on Wikipedia and TASA.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

On Paraphrase Identification Corpora.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

The DARE Corpus: A Resource for Anaphora Resolution in Dialogue Based Intelligent Tutoring Systems.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Combining Knowledge and Corpus-based Measures for Word-to-Word Similarity.
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

A Sentence Similarity Method Based on Chunking and Information Content.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2014

2013
Experiments with Semantic Similarity Measures Based on LDA and LSA.
Proceedings of the Statistical Language and Speech Processing, 2013

A Study of Probabilistic and Algebraic Methods for Semantic Similarity.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

SEMILAR: A Semantic Similarity Toolkit for Assessing Students' Natural Language Inputs.
Proceedings of the 6th International Conference on Educational Data Mining, 2013

Similarity Measures Based on Latent Dirichlet Allocation.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2013

Recommendations for the Generalized Intelligent Framework for Tutoring Based on the Development of the Deep Tutor Service.
Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

SEMILAR: The Semantic Similarity Toolkit.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013


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