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Isfarul Haque Meesala Anudeep Megavath Jaya Nandini Mehul Bose Melam Laxmi Sri Charan Meruva Anantha Lakshmi Mohammed Abdul Muqeeth Mohammed Umair Pandit Monish Madhusudanan Mood Uday Chowhan Moore Vamsi Krishna Reddy Muchala Sri Charith Mukkoti Pramod Kumar Mukul Sharma Mukunthan Sivakumar Mummidi Venkateswara Rao Muskan Jeph Muthavarapu Harshitha Muthu Muniyandi Dhamodharan Nalin Manish Chourasia Nallagatla Rohith Kumar Reddy Narumolla Siddhartha Naveen Kumar Reddy B Neel Vinodkumar Rayal Neeraj Bandhey Neethu Chowdary Inukurthi Nemali Venkateswara Reddy Nenavath Varalakshmi Nichenametla Jaya Vishnavi Nidhay Eedala Reddy Nidhi Mukeshbhai Vaghela Nikhil Narula Nirav Parmar Nishchal Mehra Nishchith Shadagopan M N Nishok R P Niveath A Omkar Prakash Mande Oruganti Tejonivas P Sharath Chandra Reddy Pachikura Pothuraju Pankaj Kumar Pankaj Ramesh Badgujar Pankilkumar Girishkumar Patel Parag Vijay Mahajan Parthiv Arvindbhai Gondaliya Patel Senay Hemantbhai Patha Yedukondalu Pathlavath Heera 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Vaishnavi Rajesh Valeti Yaswanth Sai Vardhman Anand Uikey Varthiya Tarundeep Vasu Bhatt Vedang Ajay Pote Vempati Narasimha Sai Vikas Kumar Saini Vikash Kumar Ojha Vinamr Goel Vinit Yadav Vipin S Vishal S Vishnu Kundhan Boga Vishnu Vinod Yandapalli Hima Binduna Yarlagadda Bhargav Ganesh Yash Bhatia Yashvardhan Toshniwal Yuvraj Singh Area : All   Reinforcement Learning   Kernel Methods   Artifical Neural Networks   Deep Learning   Robot Learning   Natural Language Processing   Planning   Knowledge Representation   Memory Based Reasoning   Memory Models   Speech Synthesis and Recognition   Music Information Retrieval   Music Processing   Kernel Methods   Content based Information Retrieval   Handwritten Character Recognition   Visualization and Perception   Computer Graphics   Multi-camera Vision Systems   Human Detection and Tracking   Image Reconstruction   Soft Computing   Digital Video Processing   Memory System Design   Network-on-chip architectures   Cache Design in Multicore   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Vision Lab HPCN Lab Networks Lab ASHD Lab DOS Lab SV Lab VP Lab IIL Lab SMV Lab VLSI Lab CASL Lab MALT CCD RAnG BIRDS ToC RL SPACE SeNSE Lab AI4B DAWNLAB CCBR-EEG

• IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages.  
  
  Mohammed Safi Ur Rahman Khan, Priyam Mehta, Ananth Sankar, Umashankar Kumaravelan, Sumanth Doddapaneni, Suriyaprasaad B, Varun Balan G, Sparsh Jain, Anoop Kunchukuttan, Pratyush Kumar, Raj Dabre, Mitesh Khapra
  Appeared in Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2024, Bangkok, Thailand, August 11-16, 2024 (ACL 2024), Vol , No., pp.15831-15879, Aug 2024.


• How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages?  
  
  Anushka Singh, Ananya Sai, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh Khapra
  Appeared in Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 - Student Research Workshop, Bangkok, Thailand, August 11-16, 2024 (ACL 2024), Vol , No., pp.640-649, Aug 2024.


• IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages.  
  
  Tahir Javed, Janki Nawale, Eldho Ittan George, Sakshi Joshi, Kaushal Santosh Bhogale, Deovrat Mehendale, Ishvinder Virender Sethi, Aparna Ananthanarayanan, Hafsah Faquih, Pratiti Palit, Sneha Ravishankar, Saranya Sukumaran, Tripura Panchagnula, Sunjay Murali, Kunal Sharad Gandhi, Ambujavalli R, Manickam K. M, C. Venkata Vaijayanthi, Krishnan Srinivasa Raghavan Karunganni, Pratyush Kumar, Mitesh Khapra
  Appeared in Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024 (ACL 2024), Vol , No., pp.10740-10782, Aug 2024.


• A Comprehensive Analysis of Adapter Efficiency.  
  
  Nandini Mundra, Sumanth Doddapaneni, Raj Dabre, Anoop Kunchukuttan, Ratish Puduppully, Mitesh Khapra
  Appeared in Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), Bangalore, India, January 4-7, 2024, pp.136-154, Jan 2024.


• Aksharantar: Open Indic-language Transliteration datasets and models for the Next Billion Users.  
  
  Yash Madhani, Sushane Parthan, Priyanka Bedekar, Gokul NC, Ruchi Khapra, Anoop Kunchukuttan, Pratyush Kumar, Mitesh Khapra
  Appeared in Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023. (EMNLP 2023), pp.40-57, Dec 2023.


• Svarah: Evaluating English ASR Systems on Indian Accents.  
  
  Tahir Javed, Sakshi Joshi, Vignesh Nagarajan, Sai Sundaresan, Janki Nawale, Abhigyan Raman, Kaushal Santosh Bhogale, Pratyush Kumar, Mitesh Khapra
  Appeared in 24th Annual Conference of the International Speech Communication Association, Interspeech 2023, Dublin, Ireland, August 20-24, 2023., pp.5087-5091, Aug 2023.


• Vistaar: Diverse Benchmarks and Training Sets for Indian Language ASR.  
  
  Kaushal Santosh Bhogale, Sai Sundaresan, Abhigyan Raman, Tahir Javed, Mitesh Khapra, Pratyush Kumar
  Appeared in 24th Annual Conference of the International Speech Communication Association, Interspeech 2023, Dublin, Ireland, August 20-24, 2023., pp.4384-4388, Aug 2023.


• Bhasa-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages.  
  
  Yash Madhani, Mitesh Khapra, Anoop Kunchukuttan
  Appeared in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), ACL 2023, Toronto, Canada, July 9-14, 2023. (ACL 2023), pp.816-826, Jul 2023.


• IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation Metrics for Indian Languages.  
  
  Ananya B. Sai, Tanay Dixit, Vignesh Nagarajan, Anoop Kunchukuttan, Pratyush Kumar, Mitesh Khapra, Raj Dabre
  Appeared in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023. (ACL 2023), pp.14210-14228, Jul 2023.


• Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages.  
  
  Arnav Mhaske, Harshit Kedia, Sumanth Doddapaneni, Mitesh Khapra, Pratyush Kumar, V. Rudra Murthy, Anoop Kunchukuttan
  Appeared in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023. (ACL 2023), pp.10441-10456, Jul 2023.


• Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages.  
  
  Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, Shreya Goyal, Mitesh Khapra, Anoop Kunchukuttan, Pratyush Kumar
  Appeared in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023. (ACL 2023), pp.12402-12426, Jul 2023.


• Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages.  
  
  Kaushal Santosh Bhogale, Abhigyan Raman, Tahir Javed, Sumanth Doddapaneni, Anoop Kunchukuttan, Pratyush Kumar, Mitesh Khapra
  Appeared in IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2023, Rhodes Island, Greece, June 4-10, 2023 (ICASSP 2023), pp.1-5, Jun 2023.


• Towards Building Text-to-Speech Systems for the Next Billion Users.  
  
  Gokul Karthik Kumar, Praveen S. V, Pratyush Kumar, Mitesh Khapra, Karthik Nandakumar
  Appeared in IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2023, Rhodes Island, Greece, June 4-10, 2023 (ICASSP 2023), pp.1-5, Jun 2023.


• IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian Languages.  
  
  Tahir Javed, Kaushal Santosh Bhogale, Abhigyan Raman, Pratyush Kumar, Anoop Kunchukuttan, Mitesh Khapra
  Appeared in Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, pp.12942-12950, Feb 2023.


• IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages.  
  
  Jay P. Gala, Pranjal A. Chitale, Raghavan AK, Varun Gumma, Sumanth Doddapaneni, Aswanth Kumar M., Janki Atul Nawale, Anupama Sujatha, Ratish Puduppully, Vivek Raghavan, Pratyush Kumar, Mitesh Khapra, Raj Dabre, Anoop Kunchukuttan
  Appeared in Trans. Mach. Learn. Res., Vol 2023, No., 2023.


• A Survey of Adversarial Defenses and Robustness in NLP.  
  
  Shreya Goyal, Sumanth Doddapaneni, Mitesh Khapra, Balaraman Ravindran
  Appeared in ACM Comput. Surv., Vol 55, pp.332:1-332:39, 2023.


• A Survey of Evaluation Metrics Used for NLG Systems.  
  
  Ananya B. Sai, Akash Kumar Mohankumar, Mitesh Khapra
  Appeared in ACM Comput. Surv., Vol 55, pp.26:1-26:39, 2023.


• IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages.  
  
  Aman Kumar, Himani Shrotriya, Prachi Sahu, Amogh Mishra, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh Khapra, Pratyush Kumar
  Appeared in Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022. (EMNLP 2022), pp.5363-5394, Dec 2022.


• OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages.  
  
  Prem Selvaraj, Gokul Nc, Pratyush Kumar, Mitesh Khapra
  Appeared in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022 (ACL 2022), pp.2114-2133, May 2022.


• IndicBART: A Pre-trained Model for Indic Natural Language Generation.  
  
  Raj Dabre, Himani Shrotriya, Anoop Kunchukuttan, Ratish Puduppully, Mitesh Khapra, Pratyush Kumar
  Appeared in Findings of the Association for Computational Linguistics: ACL 2022, Dublin, Ireland, May 22-27, 2022. (ACL 2022), pp.1849-1863, May 2022.


• Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons.  
  
  Akash Kumar Mohankumar, Mitesh Khapra
  Appeared in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022 (ACL 2022), pp.8761-8781, May 2022.


• Input-specific Attention Subnetworks for Adversarial Detection.  
  
  Emil Biju, Anirudh Sriram, Pratyush Kumar, Mitesh Khapra
  Appeared in Findings of the Association for Computational Linguistics: ACL 2022, Dublin, Ireland, May 22-27, 2022. (ACL 2022), pp.31-44, May 2022.


• Towards Building ASR Systems for the Next Billion Users.  
  
  Tahir Javed, Sumanth Doddapaneni, Abhigyan Raman, Kaushal Santosh Bhogale, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh Khapra
  Appeared in Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, pp.10813-10821, Mar 2022.


• Addressing Resource Scarcity across Sign Languages with Multilingual Pretraining and Unified-Vocabulary Datasets.  
  
  Gokul NC, Manideep Ladi, Sumit Negi, Prem Selvaraj, Pratyush Kumar, Mitesh Khapra
  Appeared in , Jan 2022.


• Scaling Graph Propagation Kernels for Predictive Learning.  
  
  Priyesh Vijayan, Yash Chandak, Mitesh Khapra, Srinivasan Parthasarathy, Balaraman Ravindran
  Appeared in Frontiers Big Data, Vol 5, pp.616617, 2022.


• Perturbation CheckLists for Evaluating NLG Evaluation Metrics.  
  
  Ananya B. Sai, Tanay Dixit, Dev Yashpal Sheth, Sreyas Mohan, Mitesh Khapra
  Appeared in Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021 (EMNLP 2021), pp.7219-7234, Nov 2021.


• Unsupervised Deep Video Denoising.  
  
  Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda
  Appeared in 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021 (ICCV 2021), pp.1739-1748, Oct 2021.


• A Joint Training Framework for Open-World Knowledge Graph Embeddings.  
  
  Karthik Visweswariah, Beethika Tripathi, Mitesh Khapra, Balaraman Ravindran
  Appeared in 3rd Conference on Automated Knowledge Base Construction, AKBC 2021, Virtual, October 4-8, 2021. (AKBC 2021), Oct 2021.


• The Heads Hypothesis: A Unifying Statistical Approach Towards Understanding Multi-Headed Attention in BERT.  
  
  Madhura Pande, Aakriti Budhraja, Preksha Nema, Pratyush Kumar, Mitesh Khapra
  Appeared in Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, pp.13613-13621, Feb 2021.


• A Systematic Evaluation of Object Detection Networks for Scientific Plots.  
  
  Pritha Ganguly, Nitesh S. Methani, Mitesh Khapra, Pratyush Kumar
  Appeared in Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, pp.1379-1387, Feb 2021.


• Joint Transformer/RNN Architecture for Gesture Typing in Indic Languages.  
  
  Emil Biju, Anirudh Sriram, Mitesh Khapra, Pratyush Kumar
  Appeared in Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020 (COLING 2020), pp.999-1010, Dec 2020.


• Towards Interpreting BERT for Reading Comprehension Based QA.  
  
  Sahana Ramnath, Preksha Nema, Deep Sahni, Mitesh Khapra
  Appeared in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020 (EMNLP 2020), pp.3236-3242, Nov 2020.


• On the weak link between importance and prunability of attention heads.  
  
  Aakriti Budhraja, Madhura Pande, Preksha Nema, Pratyush Kumar, Mitesh Khapra
  Appeared in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020 (EMNLP 2020), pp.3230-3235, Nov 2020.


• iNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages.  
  
  Divyanshu Kakwani, Anoop Kunchukuttan, Satish Golla, Gokul N. C., Avik Bhattacharyya, Mitesh Khapra, Pratyush Kumar
  Appeared in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, EMNLP 2020, Online Event, 16-20 November 2020. (EMNLP 2020), pp.4948-4961, Nov 2020.


• INCLUDE: A Large Scale Dataset for Indian Sign Language Recognition.  
  
  Advaith Sridhar, Rohith Gandhi Ganesan, Pratyush Kumar, Mitesh Khapra
  Appeared in MM '20: The 28th ACM International Conference on Multimedia, Virtual Event / Seattle, WA, USA, October 12-16, 2020, pp.1366-1375, Oct 2020.


• Towards Transparent and Explainable Attention Models.  
  
  Akash Kumar Mohankumar, Preksha Nema, Sharan Narasimhan, Mitesh Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran
  Appeared in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020 (ACL 2020), pp.4206-4216, Jul 2020.


• PlotQA: Reasoning over Scientific Plots.  
  
  Nitesh Methani, Pritha Ganguly, Mitesh Khapra, Pratyush Kumar
  Appeared in IEEE Winter Conference on Applications of Computer Vision, WACV 2020, Snowmass Village, CO, USA, March 1-5, 2020 (WACV 2020), pp.1516-1525, Mar 2020.


• Improving Dialog Evaluation with a Multi-reference Adversarial Dataset and Large Scale Pretraining.  
  
  Ananya B. Sai, Akash Kumar Mohankumar, Siddhartha Arora, Mitesh Khapra
  Appeared in Trans. Assoc. Comput. Linguistics, Vol 8, pp.810-827, 2020.


• Let's Ask Again: Refine Network for Automatic Question Generation.  
  
  Preksha Nema, Akash Kumar Mohankumar, Mitesh Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran
  Appeared in Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019, pp.3312-3321, Nov 2019.


• FigureNet : A Deep Learning model for Question-Answering on Scientific Plots.  
  
  Revanth Reddy, Rahul Ramesh, Ameet Deshpande, Mitesh Khapra
  Appeared in International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019, pp.1-8, Jul 2019.


• Efficient Video Classification Using Fewer Frames.  
  
  Shweta Bhardwaj, Mukundhan Srinivasan, Mitesh Khapra
  Appeared in IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019 (CVPR 2019), pp.354-363, Jun 2019.


• On Knowledge distillation from complex networks for response prediction.  
  
  Siddhartha Arora, Mitesh Khapra, Harish Guruprasad
  Appeared in Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long and Short Papers), pp.3813-3822, Jun 2019.


• Re-Evaluating ADEM: A Deeper Look at Scoring Dialogue Responses.  
  
  Ananya B. Sai, Mithun Das Gupta, Mitesh Khapra, Mukundhan Srinivasan
  Appeared in The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019., pp.6220-6227, Feb 2019.


• Graph Convolutional Network with Sequential Attention for Goal-Oriented Dialogue Systems.  
  
  Suman Banerjee, Mitesh Khapra
  Appeared in TACL, Vol 7, pp.485-500, 2019.


• Improving NER Tagging Performance in Low-Resource Languages via Multilingual Learning.  
  
  V. Rudra Murthy, Mitesh Khapra, Pushpak Bhattacharyya
  Appeared in ACM Trans. Asian & Low-Resource Lang. Inf. Process., Vol 18, pp.9:1-9:20, 2019.


• Studying the plasticity in deep convolutional neural networks using random pruning.  
  
  Deepak Mittal, Shweta Bhardwaj, Mitesh Khapra, Balaraman Ravindran
  Appeared in Mach. Vis. Appl., Vol 30, pp.203-216, 2019.


• On Controllable Sparse Alternatives to Softmax.  
  
  Anirban Laha, Saneem Ahmed Chemmengath, Priyanka Agrawal, Mitesh Khapra, Karthik Sankaranarayanan, Harish Guruprasad
  Appeared in Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montral, Canada., pp.6423-6433, Dec 2018.


• Towards a Better Metric for Evaluating Question Generation Systems.  
  
  Preksha Nema, Mitesh Khapra
  Appeared in Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018, pp.3950-3959, Nov 2018.


• Towards Exploiting Background Knowledge for Building Conversation Systems.  
  
  Nikita Moghe, Siddhartha Arora, Suman Banerjee, Mitesh Khapra
  Appeared in Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018, pp.2322-2332, Nov 2018.


• A Dataset for Building Code-Mixed Goal Oriented Conversation Systems.  
  
  Suman Banerjee, Nikita Moghe, Siddhartha Arora, Mitesh Khapra
  Appeared in Proceedings of the 27th International Conference on Computational Linguistics, COLING 2018, Santa Fe, New Mexico, USA, August 20-26, 2018 (COLING 2018), pp.3766-3780, Aug 2018.