Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Muthu Kumar Chandrasekaran

Muthu Kumar Chandrasekaran

Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings


Jan 26, 2021
Kailash Karthik Saravanakumar, Miguel Ballesteros, Muthu Kumar Chandrasekaran, Kathleen McKeown

Figure 1 for Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings
Figure 2 for Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings
Figure 3 for Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings
Figure 4 for Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings
* To appear in Proceedings of The 16th Conference of the European Chapter of the Association for Computational Linguistics 
  Access Paper or Ask Questions

The CL-SciSumm Shared Task 2018: Results and Key Insights


Sep 02, 2019
Kokil Jaidka, Michihiro Yasunaga, Muthu Kumar Chandrasekaran, Dragomir Radev, Min-Yen Kan

Figure 1 for The CL-SciSumm Shared Task 2018: Results and Key Insights
Figure 2 for The CL-SciSumm Shared Task 2018: Results and Key Insights
Figure 3 for The CL-SciSumm Shared Task 2018: Results and Key Insights
Figure 4 for The CL-SciSumm Shared Task 2018: Results and Key Insights
* BIRNDL @ SIGIR 2018. arXiv admin note: substantial text overlap with arXiv:1907.09854 
  Access Paper or Ask Questions

Overview and Results: CL-SciSumm Shared Task 2019


Jul 23, 2019
Muthu Kumar Chandrasekaran, Michihiro Yasunaga, Dragomir Radev, Dayne Freitag, Min-Yen Kan

Figure 1 for Overview and Results: CL-SciSumm Shared Task 2019
Figure 2 for Overview and Results: CL-SciSumm Shared Task 2019
Figure 3 for Overview and Results: CL-SciSumm Shared Task 2019
Figure 4 for Overview and Results: CL-SciSumm Shared Task 2019
* In Proceedings of BIRNDL 2019 at SIGIR 2019, Paris 
  Access Paper or Ask Questions

When to reply? Context Sensitive Models to Predict Instructor Interventions in MOOC Forums


May 26, 2019
Muthu Kumar Chandrasekaran, Min-Yen Kan

Figure 1 for When to reply? Context Sensitive Models to Predict Instructor Interventions in MOOC Forums
Figure 2 for When to reply? Context Sensitive Models to Predict Instructor Interventions in MOOC Forums
Figure 3 for When to reply? Context Sensitive Models to Predict Instructor Interventions in MOOC Forums
Figure 4 for When to reply? Context Sensitive Models to Predict Instructor Interventions in MOOC Forums
* preprint 
  Access Paper or Ask Questions

A Comparison of Word Embeddings for English and Cross-Lingual Chinese Word Sense Disambiguation


Apr 09, 2017
Hong Jin Kang, Tao Chen, Muthu Kumar Chandrasekaran, Min-Yen Kan

Figure 1 for A Comparison of Word Embeddings for English and Cross-Lingual Chinese Word Sense Disambiguation
Figure 2 for A Comparison of Word Embeddings for English and Cross-Lingual Chinese Word Sense Disambiguation
Figure 3 for A Comparison of Word Embeddings for English and Cross-Lingual Chinese Word Sense Disambiguation
Figure 4 for A Comparison of Word Embeddings for English and Cross-Lingual Chinese Word Sense Disambiguation
* Proceedings of the 3rd Workshop on Natural Language Processing Techniques for Educational Applications, pages 30 to 39, Osaka, Japan, December 12 2016 
 * 10 pages. Appears in the Proceedings of The 3rd Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2016) 
  Access Paper or Ask Questions

Using Discourse Signals for Robust Instructor Intervention Prediction


Dec 03, 2016
Muthu Kumar Chandrasekaran, Carrie Demmans Epp, Min-Yen Kan, Diane Litman

Figure 1 for Using Discourse Signals for Robust Instructor Intervention Prediction
Figure 2 for Using Discourse Signals for Robust Instructor Intervention Prediction
Figure 3 for Using Discourse Signals for Robust Instructor Intervention Prediction
Figure 4 for Using Discourse Signals for Robust Instructor Intervention Prediction
* To appear in proceedings of the 31st AAAI Conference on Artificial Intelligence, San Francisco, USA 
  Access Paper or Ask Questions