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ORCIDMitesh M. Khapra
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- affiliation: Indian Institute of Technology Madras, India
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2020 – today
- 2025
[i82]Oikantik Nath, Hanani Bathina, Mohammed Safi Ur Rahman Khan, Mitesh M. Khapra:
Can Vision-Language Models Evaluate Handwritten Math? CoRR abs/2501.07244 (2025)- 2024
- [c89]Anushka Singh, Ananya Sai, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra:
How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages? ACL (Short Papers) 2024: 640-649 - [c88]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 M. Khapra:
IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages. ACL (Findings) 2024: 10740-10782 - [c87]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 M. Khapra:
IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages. ACL (1) 2024: 15831-15879 - [c86]Nandini Mundra
, Sumanth Doddapaneni, Raj Dabre, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra:
A Comprehensive Analysis of Adapter Efficiency. COMAD/CODS 2024: 136-154 - [c85]Sumanth Doddapaneni, Mohammed Safi Ur Rahman Khan, Sshubam Verma, Mitesh M. Khapra:
Finding Blind Spots in Evaluator LLMs with Interpretable Checklists. EMNLP 2024: 16279-16309 - [c84]Ashwin Sankar, Srija Anand, Praveen Srinivasa Varadhan, Sherry Thomas, Mehak Singal, Shridhar Kumar, Deovrat Mehendale, Aditi Krishana, Giri Raju, Mitesh M. Khapra:
IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS. NeurIPS 2024 - [i81]Pranjal A. Chitale, Jay P. Gala, Varun Gumma, Mitesh M. Khapra, Raj Dabre:
An Empirical Analysis of In-context Learning Abilities of LLMs for MT. CoRR abs/2401.12097 (2024) - [i80]Jay P. Gala, Thanmay Jayakumar, Jaavid Aktar Husain, Aswanth Kumar M., Mohammed Safi Ur Rahman Khan, Diptesh Kanojia, Ratish Puduppully, Mitesh M. Khapra, Raj Dabre, V. Rudra Murthy, Anoop Kunchukuttan:
Airavata: Introducing Hindi Instruction-tuned LLM. CoRR abs/2401.15006 (2024) - [i79]Tahir Javed, Janki Atul 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 M. Khapra:
IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages. CoRR abs/2403.01926 (2024) - [i78]Mohammed Safi Ur Rahman Khan, Priyam Mehta, Ananth Sankar, Umashankar Kumaravelan, Sumanth Doddapaneni, Suriyaprasaad G, Varun Balan G, Sparsh Jain, Anoop Kunchukuttan, Pratyush Kumar, Raj Dabre, Mitesh M. Khapra:
IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages. CoRR abs/2403.06350 (2024) - [i77]Anushka Singh, Ananya B. Sai, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra:
How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages? CoRR abs/2406.03893 (2024) - [i76]Sumanth Doddapaneni, Mohammed Safi Ur Rahman Khan, Sshubam Verma, Mitesh M. Khapra:
Finding Blind Spots in Evaluator LLMs with Interpretable Checklists. CoRR abs/2406.13439 (2024) - [i75]Nandini Mundra, Aditya Nanda Kishore, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra:
An Empirical Comparison of Vocabulary Expansion and Initialization Approaches for Language Models. CoRR abs/2407.05841 (2024) - [i74]Srija Anand, Praveen Srinivasa Varadhan, Ashwin Sankar, Giri Raju, Mitesh M. Khapra:
Enhancing Out-of-Vocabulary Performance of Indian TTS Systems for Practical Applications through Low-Effort Data Strategies. CoRR abs/2407.13435 (2024) - [i73]Praveen Srinivasa Varadhan, Ashwin Sankar, Giri Raju, Mitesh M. Khapra:
Rasa: Building Expressive Speech Synthesis Systems for Indian Languages in Low-resource Settings. CoRR abs/2407.14056 (2024) - [i72]Tahir Javed, Janki Nawale, Sakshi Joshi, Eldho Ittan George, Kaushal Santosh Bhogale, Deovrat Mehendale, Mitesh M. Khapra:
LAHAJA: A Robust Multi-accent Benchmark for Evaluating Hindi ASR Systems. CoRR abs/2408.11440 (2024) - [i71]Kaushal Santosh Bhogale, Deovrat Mehendale, Niharika Parasa, Sathish Kumar Reddy G, Tahir Javed, Pratyush Kumar, Mitesh M. Khapra:
Empowering Low-Resource Language ASR via Large-Scale Pseudo Labeling. CoRR abs/2408.14026 (2024) - [i70]Ashwin Sankar, Srija Anand, Praveen Srinivasa Varadhan, Sherry Thomas, Mehak Singal, Shridhar Kumar, Deovrat Mehendale, Aditi Krishana, Giri Raju, Mitesh M. Khapra:
IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS. CoRR abs/2409.05356 (2024) - [i69]Sumanth Doddapaneni, Mohammed Safi Ur Rahman Khan, Dilip Venkatesh, Raj Dabre, Anoop Kunchukuttan, Mitesh M. Khapra:
Cross-Lingual Auto Evaluation for Assessing Multilingual LLMs. CoRR abs/2410.13394 (2024) - [i68]Srija Anand, Praveen Srinivasa Varadhan, Mehak Singal, Mitesh M. Khapra:
ELAICHI: Enhancing Low-resource TTS by Addressing Infrequent and Low-frequency Character Bigrams. CoRR abs/2410.17901 (2024) - [i67]Sparsh Jain, Ashwin Sankar, Devilal Choudhary, Dhairya Suman, Nikhil Narasimhan, Mohammed Safi Ur Rahman Khan, Anoop Kunchukuttan, Mitesh M. Khapra, Raj Dabre:
BhasaAnuvaad: A Speech Translation Dataset for 13 Indian Languages. CoRR abs/2411.04699 (2024) - [i66]Praveen Srinivasa Varadhan, Amogh Gulati, Ashwin Sankar, Srija Anand, Anirudh Gupta, Anirudh Mukherjee, Shiva Kumar Marepally, Ankur Bhatia, Saloni Jaju, Suvrat Bhooshan, Mitesh M. Khapra:
Rethinking MUSHRA: Addressing Modern Challenges in Text-to-Speech Evaluation. CoRR abs/2411.12719 (2024) - [i65]Sanjay Suryanarayanan, Haiyue Song, Mohammed Safi Ur Rahman Khan, Anoop Kunchukuttan, Mitesh M. Khapra, Raj Dabre:
Pralekha: An Indic Document Alignment Evaluation Benchmark. CoRR abs/2411.19096 (2024) - 2023
- [j11]Ananya B. Sai, Akash Kumar Mohankumar, Mitesh M. Khapra:
A Survey of Evaluation Metrics Used for NLG Systems. ACM Comput. Surv. 55(2): 26:1-26:39 (2023) - [j10]Shreya Goyal, Sumanth Doddapaneni, Mitesh M. Khapra, Balaraman Ravindran:
A Survey of Adversarial Defenses and Robustness in NLP. ACM Comput. Surv. 55(14s): 332:1-332:39 (2023) - [j9]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 M. Khapra, Raj Dabre, Anoop Kunchukuttan:
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages. Trans. Mach. Learn. Res. 2023 (2023) - [c83]Tahir Javed, Kaushal Santosh Bhogale, Abhigyan Raman, Pratyush Kumar, Anoop Kunchukuttan, Mitesh M. Khapra:
IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian Languages. AAAI 2023: 12942-12950 - [c82]Yash Madhani, Mitesh M. Khapra, Anoop Kunchukuttan:
Bhasa-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages. ACL (2) 2023: 816-826 - [c81]Arnav Mhaske, Harshit Kedia, Sumanth Doddapaneni, Mitesh M. Khapra, Pratyush Kumar, V. Rudra Murthy, Anoop Kunchukuttan:
Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages. ACL (1) 2023: 10441-10456 - [c80]Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, Shreya Goyal, Mitesh M. Khapra, Anoop Kunchukuttan, Pratyush Kumar:
Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages. ACL (1) 2023: 12402-12426 - [c79]Ananya B. Sai, Tanay Dixit, Vignesh Nagarajan, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra, Raj Dabre:
IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation Metrics for Indian Languages. ACL (1) 2023: 14210-14228 - [c78]Yash Madhani, Sushane Parthan, Priyanka Bedekar, Gokul NC, Ruchi Khapra, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
Aksharantar: Open Indic-language Transliteration datasets and models for the Next Billion Users. EMNLP (Findings) 2023: 40-57 - [c77]Kaushal Santosh Bhogale, Abhigyan Raman, Tahir Javed, Sumanth Doddapaneni, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages. ICASSP 2023: 1-5 - [c76]Gokul Karthik Kumar, Praveen S. V, Pratyush Kumar, Mitesh M. Khapra, Karthik Nandakumar:
Towards Building Text-to-Speech Systems for the Next Billion Users. ICASSP 2023: 1-5 - [c75]Kaushal Santosh Bhogale, Sai Sundaresan, Abhigyan Raman, Tahir Javed, Mitesh M. Khapra, Pratyush Kumar:
Vistaar: Diverse Benchmarks and Training Sets for Indian Language ASR. INTERSPEECH 2023: 4384-4388 - [c74]Tahir Javed, Sakshi Joshi, Vignesh Nagarajan, Sai Sundaresan, Janki Nawale, Abhigyan Raman, Kaushal Santosh Bhogale, Pratyush Kumar, Mitesh M. Khapra:
Svarah: Evaluating English ASR Systems on Indian Accents. INTERSPEECH 2023: 5087-5091 - [i64]Nandini Mundra, Sumanth Doddapaneni, Raj Dabre, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra:
A Comprehensive Analysis of Adapter Efficiency. CoRR abs/2305.07491 (2023) - [i63]Kaushal Santosh Bhogale, Sai Sundaresan, Abhigyan Raman, Tahir Javed, Mitesh M. Khapra, Pratyush Kumar:
Vistaar: Diverse Benchmarks and Training Sets for Indian Language ASR. CoRR abs/2305.15386 (2023) - [i62]Tahir Javed, Sakshi Joshi, Vignesh Nagarajan, Sai Sundaresan, Janki Nawale, Abhigyan Raman, Kaushal Santosh Bhogale, Pratyush Kumar, Mitesh M. Khapra:
Svarah: Evaluating English ASR Systems on Indian Accents. CoRR abs/2305.15760 (2023) - [i61]Yash Madhani, Mitesh M. Khapra, Anoop Kunchukuttan:
Bhasha-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages. CoRR abs/2305.15814 (2023) - [i60]Jay P. Gala, Pranjal A. Chitale, Raghavan AK, Sumanth Doddapaneni, Varun Gumma, Aswanth Kumar, Janki Nawale, Anupama Sujatha, Ratish Puduppully, Vivek Raghavan, Pratyush Kumar, Mitesh M. Khapra, Raj Dabre, Anoop Kunchukuttan:
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages. CoRR abs/2305.16307 (2023) - 2022
- [j8]Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Srinivasan Parthasarathy, Balaraman Ravindran:
Scaling Graph Propagation Kernels for Predictive Learning. Frontiers Big Data 5: 616617 (2022) - [c73]Tahir Javed, Sumanth Doddapaneni, Abhigyan Raman, Kaushal Santosh Bhogale, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
Towards Building ASR Systems for the Next Billion Users. AAAI 2022: 10813-10821 - [c72]Emil Biju, Anirudh Sriram, Pratyush Kumar, Mitesh M. Khapra:
Input-specific Attention Subnetworks for Adversarial Detection. ACL (Findings) 2022: 31-44 - [c71]Raj Dabre, Himani Shrotriya, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra, Pratyush Kumar:
IndicBART: A Pre-trained Model for Indic Natural Language Generation. ACL (Findings) 2022: 1849-1863 - [c70]Prem Selvaraj, Gokul N. C., Pratyush Kumar, Mitesh M. Khapra:
OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages. ACL (1) 2022: 2114-2133 - [c69]Akash Kumar Mohankumar, Mitesh M. Khapra:
Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons. ACL (1) 2022: 8761-8781 - [c68]Aman Kumar, Himani Shrotriya, Prachi Sahu, Amogh Mishra, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra, Pratyush Kumar:
IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages. EMNLP 2022: 5363-5394 - [c67]Gokul NC, Manideep Ladi, Sumit Negi, Prem Selvaraj, Pratyush Kumar, Mitesh M. Khapra:
Addressing Resource Scarcity across Sign Languages with Multilingual Pretraining and Unified-Vocabulary Datasets. NeurIPS 2022 - [i59]Aman Kumar, Himani Shrotriya, Prachi Sahu, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Amogh Mishra, Mitesh M. Khapra, Pratyush Kumar:
IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages. CoRR abs/2203.05437 (2022) - [i58]Akash Kumar Mohankumar, Mitesh M. Khapra:
Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons. CoRR abs/2203.06063 (2022) - [i57]Shreya Goyal, Sumanth Doddapaneni, Mitesh M. Khapra, Balaraman Ravindran:
A Survey in Adversarial Defences and Robustness in NLP. CoRR abs/2203.06414 (2022) - [i56]Emil Biju, Anirudh Sriram, Pratyush Kumar, Mitesh M. Khapra:
Input-specific Attention Subnetworks for Adversarial Detection. CoRR abs/2203.12298 (2022) - [i55]Emil Biju, Anirudh Sriram, Mitesh M. Khapra, Pratyush Kumar:
Joint Transformer/RNN Architecture for Gesture Typing in Indic Languages. CoRR abs/2203.14049 (2022) - [i54]Yash Madhani, Sushane Parthan, Priyanka Bedekar, Ruchi Khapra, Vivek Seshadri, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
Aksharantar: Towards building open transliteration tools for the next billion users. CoRR abs/2205.03018 (2022) - [i53]Tahir Javed, Kaushal Santosh Bhogale, Abhigyan Raman, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian languages. CoRR abs/2208.11761 (2022) - [i52]Kaushal Santosh Bhogale, Abhigyan Raman, Tahir Javed, Sumanth Doddapaneni, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages. CoRR abs/2208.12666 (2022) - [i51]Gokul Karthik Kumar, Praveen S. V, Pratyush Kumar, Mitesh M. Khapra, Karthik Nandakumar:
Towards Building Text-To-Speech Systems for the Next Billion Users. CoRR abs/2211.09536 (2022) - [i50]Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, Shreya Goyal, Mitesh M. Khapra, Anoop Kunchukuttan, Pratyush Kumar:
IndicXTREME: A Multi-Task Benchmark For Evaluating Indic Languages. CoRR abs/2212.05409 (2022) - [i49]Arnav Mhaske, Harshit Kedia, Sumanth Doddapaneni, Mitesh M. Khapra, Pratyush Kumar, V. Rudra Murthy, Anoop Kunchukuttan:
Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages. CoRR abs/2212.10168 (2022) - [i48]Ananya B. Sai, Vignesh Nagarajan, Tanay Dixit, Raj Dabre, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation metrics for Indian Languages. CoRR abs/2212.10180 (2022) - 2021
- [c66]Pritha Ganguly, Nitesh S. Methani, Mitesh M. Khapra, Pratyush Kumar:
A Systematic Evaluation of Object Detection Networks for Scientific Plots. AAAI 2021: 1379-1387 - [c65]Madhura Pande, Aakriti Budhraja, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra:
The Heads Hypothesis: A Unifying Statistical Approach Towards Understanding Multi-Headed Attention in BERT. AAAI 2021: 13613-13621 - [c64]Karthik Visweswariah, Beethika Tripathi, Mitesh M. Khapra, Balaraman Ravindran:
A Joint Training Framework for Open-World Knowledge Graph Embeddings. AKBC 2021 - [c63]Ananya B. Sai, Tanay Dixit, Dev Yashpal Sheth, Sreyas Mohan, Mitesh M. Khapra:
Perturbation CheckLists for Evaluating NLG Evaluation Metrics. EMNLP (1) 2021: 7219-7234 - [c62]Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda:
Unsupervised Deep Video Denoising. ICCV 2021: 1739-1748 - [i47]Madhura Pande, Aakriti Budhraja, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra:
The heads hypothesis: A unifying statistical approach towards understanding multi-headed attention in BERT. CoRR abs/2101.09115 (2021) - [i46]Sumanth Doddapaneni, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
A Primer on Pretrained Multilingual Language Models. CoRR abs/2107.00676 (2021) - [i45]Raj Dabre, Himani Shrotriya, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra, Pratyush Kumar:
IndicBART: A Pre-trained Model for Natural Language Generation of Indic Languages. CoRR abs/2109.02903 (2021) - [i44]Ananya B. Sai, Tanay Dixit, Dev Yashpal Sheth, Sreyas Mohan, Mitesh M. Khapra:
Perturbation CheckLists for Evaluating NLG Evaluation Metrics. CoRR abs/2109.05771 (2021) - [i43]Aakriti Budhraja, Madhura Pande, Pratyush Kumar, Mitesh M. Khapra:
On the Prunability of Attention Heads in Multilingual BERT. CoRR abs/2109.12683 (2021) - [i42]Sahana Ramnath, Preksha Nema, Deep Sahni, Mitesh M. Khapra:
A Framework for Rationale Extraction for Deep QA models. CoRR abs/2110.04620 (2021) - [i41]Prem Selvaraj, Gokul N. C., Pratyush Kumar, Mitesh M. Khapra:
OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages. CoRR abs/2110.05877 (2021) - [i40]Tahir Javed, Sumanth Doddapaneni, Abhigyan Raman, Kaushal Santosh Bhogale, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
Towards Building ASR Systems for the Next Billion Users. CoRR abs/2111.03945 (2021) - 2020
- [j7]Ananya B. Sai, Akash Kumar Mohankumar, Siddhartha Arora, Mitesh M. Khapra:
Improving Dialog Evaluation with a Multi-reference Adversarial Dataset and Large Scale Pretraining. Trans. Assoc. Comput. Linguistics 8: 810-827 (2020) - [c61]Akash Kumar Mohankumar, Preksha Nema, Sharan Narasimhan, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran:
Towards Transparent and Explainable Attention Models. ACL 2020: 4206-4216 - [c60]Emil Biju, Anirudh Sriram, Mitesh M. Khapra, Pratyush Kumar:
Joint Transformer/RNN Architecture for Gesture Typing in Indic Languages. COLING 2020: 999-1010 - [c59]Aakriti Budhraja, Madhura Pande, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra:
On the weak link between importance and prunability of attention heads. EMNLP (1) 2020: 3230-3235 - [c58]Sahana Ramnath, Preksha Nema, Deep Sahni, Mitesh M. Khapra:
Towards Interpreting BERT for Reading Comprehension Based QA. EMNLP (1) 2020: 3236-3242 - [c57]Divyanshu Kakwani, Anoop Kunchukuttan, Satish Golla, Gokul N. C., Avik Bhattacharyya, Mitesh M. Khapra, Pratyush Kumar:
iNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages. EMNLP (Findings) 2020: 4948-4961 - [c56]Advaith Sridhar, Rohith Gandhi Ganesan, Pratyush Kumar, Mitesh M. Khapra:
INCLUDE: A Large Scale Dataset for Indian Sign Language Recognition. ACM Multimedia 2020: 1366-1375 - [c55]Nitesh Methani, Pritha Ganguly, Mitesh M. Khapra, Pratyush Kumar:
PlotQA: Reasoning over Scientific Plots. WACV 2020: 1516-1525 - [i39]Akash Kumar Mohankumar, Preksha Nema, Sharan Narasimhan, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran:
Towards Transparent and Explainable Attention Models. CoRR abs/2004.14243 (2020) - [i38]Anoop Kunchukuttan, Divyanshu Kakwani, Satish Golla, Gokul N. C., Avik Bhattacharyya, Mitesh M. Khapra, Pratyush Kumar:
AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages. CoRR abs/2005.00085 (2020) - [i37]Nikita Moghe, Priyesh Vijayan, Balaraman Ravindran, Mitesh M. Khapra:
On Incorporating Structural Information to improve Dialogue Response Generation. CoRR abs/2005.14315 (2020) - [i36]Pritha Ganguly, Nitesh Methani, Mitesh M. Khapra, Pratyush Kumar:
A Systematic Evaluation of Object Detection Networks for Scientific Plots. CoRR abs/2007.02240 (2020) - [i35]Madhura Pande, Aakriti Budhraja, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra:
On the Importance of Local Information in Transformer Based Models. CoRR abs/2008.05828 (2020) - [i34]Ananya B. Sai, Akash Kumar Mohankumar, Mitesh M. Khapra:
A Survey of Evaluation Metrics Used for NLG Systems. CoRR abs/2008.12009 (2020) - [i33]Ananya B. Sai, Akash Kumar Mohankumar, Siddhartha Arora, Mitesh M. Khapra:
Improving Dialog Evaluation with a Multi-reference Adversarial Dataset and Large Scale Pretraining. CoRR abs/2009.11321 (2020) - [i32]Ameet Deshpande, Mitesh M. Khapra:
Evaluating a Generative Adversarial Framework for Information Retrieval. CoRR abs/2010.00722 (2020) - [i31]Sahana Ramnath, Preksha Nema, Deep Sahni, Mitesh M. Khapra:
Towards Interpreting BERT for Reading Comprehension Based QA. CoRR abs/2010.08983 (2020) - [i30]Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda:
Unsupervised Deep Video Denoising. CoRR abs/2011.15045 (2020)
2010 – 2019
- 2019
- [j6]Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, Balaraman Ravindran:
Studying the plasticity in deep convolutional neural networks using random pruning. Mach. Vis. Appl. 30(2): 203-216 (2019) - [j5]Suman Banerjee, Mitesh M. Khapra:
Graph Convolutional Network with Sequential Attention for Goal-Oriented Dialogue Systems. Trans. Assoc. Comput. Linguistics 7: 485-500 (2019) - [j4]V. Rudra Murthy, Mitesh M. Khapra, Pushpak Bhattacharyya:
Improving NER Tagging Performance in Low-Resource Languages via Multilingual Learning. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18(2): 9:1-9:20 (2019) - [c54]Ananya B. Sai, Mithun Das Gupta, Mitesh M. Khapra, Mukundhan Srinivasan:
Re-Evaluating ADEM: A Deeper Look at Scoring Dialogue Responses. AAAI 2019: 6220-6227 - [c53]Shweta Bhardwaj, Mukundhan Srinivasan, Mitesh M. Khapra:
Efficient Video Classification Using Fewer Frames. CVPR 2019: 354-363 - [c52]Preksha Nema, Akash Kumar Mohankumar, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran:
Let's Ask Again: Refine Network for Automatic Question Generation. EMNLP/IJCNLP (1) 2019: 3312-3321 - [c51]Revanth Reddy, Rahul Ramesh, Ameet Deshpande, Mitesh M. Khapra:
FigureNet : A Deep Learning model for Question-Answering on Scientific Plots. IJCNN 2019: 1-8 - [c50]Siddhartha Arora, Mitesh M. Khapra, Harish G. Ramaswamy:
On Knowledge distillation from complex networks for response prediction. NAACL-HLT (1) 2019: 3813-3822 - [i29]Ananya Sai, Mithun Das Gupta, Mitesh M. Khapra, Mukundhan Srinivasan:
Re-evaluating ADEM: A Deeper Look at Scoring Dialogue Responses. CoRR abs/1902.08832 (2019) - [i28]Shweta Bhardwaj, Mukundhan Srinivasan, Mitesh M. Khapra:
Efficient Video Classification Using Fewer Frames. CoRR abs/1902.10640 (2019) - [i27]Soham Parikh, Ananya B. Sai, Preksha Nema, Mitesh M. Khapra:
ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions. CoRR abs/1904.02651 (2019) - [i26]Soham Parikh, Ananya B. Sai, Preksha Nema, Mitesh M. Khapra:
Frustratingly Poor Performance of Reading Comprehension Models on Non-adversarial Examples. CoRR abs/1904.02665 (2019) - [i25]Nitesh Methani, Pritha Ganguly, Mitesh M. Khapra, Pratyush Kumar:
Data Interpretation over Plots. CoRR abs/1909.00997 (2019) - [i24]Preksha Nema, Akash Kumar Mohankumar, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran:
Let's Ask Again: Refine Network for Automatic Question Generation. CoRR abs/1909.05355 (2019) - [i23]Sahana Ramnath, Amrita Saha, Soumen Chakrabarti, Mitesh M. Khapra:
Scene Graph based Image Retrieval - A case study on the CLEVR Dataset. CoRR abs/1911.00850 (2019) - 2018
- [j3]Anoop Kunchukuttan, Mitesh M. Khapra, Gurneet Singh, Pushpak Bhattacharyya:
Leveraging Orthographic Similarity for Multilingual Neural Transliteration. Trans. Assoc. Comput. Linguistics 6: 303-316 (2018) - [c49]Amrita Saha, Mitesh M. Khapra, Karthik Sankaranarayanan:
Towards Building Large Scale Multimodal Domain-Aware Conversation Systems. AAAI 2018: 696-704 - [c48]Amrita Saha, Vardaan Pahuja, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar:
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph. AAAI 2018: 705-713 - [c47]Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra, Karthik Sankaranarayanan:
DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension. ACL (1) 2018: 1683-1693 - [c46]Suman Banerjee, Nikita Moghe, Siddhartha Arora, Mitesh M. Khapra:
A Dataset for Building Code-Mixed Goal Oriented Conversation Systems. COLING 2018: 3766-3780 - [c45]Shweta Bhardwaj, Mitesh M. Khapra:
I Have Seen Enough: A Teacher Student Network for Video Classification Using Fewer Frames. CVPR Workshops 2018: 1138-1142 - [c44]Nikita Moghe, Siddhartha Arora, Suman Banerjee, Mitesh M. Khapra:
Towards Exploiting Background Knowledge for Building Conversation Systems. EMNLP 2018: 2322-2332 - [c43]Preksha Nema, Mitesh M. Khapra:
Towards a Better Metric for Evaluating Question Generation Systems. EMNLP 2018: 3950-3959 - [c42]Soham Parikh, Ananya Sai, Preksha Nema, Mitesh M. Khapra:
ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions. IJCAI 2018: 4272-4278 - [c41]Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Preksha Nema, Mitesh M. Khapra, Shreyas Shetty:
A Mixed Hierarchical Attention Based Encoder-Decoder Approach for Standard Table Summarization. NAACL-HLT (2) 2018: 622-627 - [c40]Preksha Nema, Shreyas Shetty, Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Mitesh M. Khapra:
Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization. NAACL-HLT 2018: 1539-1550 - [c39]Anirban Laha, Saneem Ahmed Chemmengath, Priyanka Agrawal, Mitesh M. Khapra, Karthik Sankaranarayanan, Harish G. Ramaswamy:
On Controllable Sparse Alternatives to Softmax. NeurIPS 2018: 6423-6433 - [c38]Amrita Saha, Megha Nawhal, Mitesh M. Khapra, Vikas C. Raykar:
Learning Disentangled Multimodal Representations for the Fashion Domain. WACV 2018: 557-566 - [c37]Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, Balaraman Ravindran:
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks. WACV 2018: 848-857 - [i22]Amrita Saha, Vardaan Pahuja, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar:
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph. CoRR abs/1801.10314 (2018) - [i21]Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, Balaraman Ravindran:
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks. CoRR abs/1801.10447 (2018) - [i20]Preksha Nema, Shreyas Shetty, Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Mitesh M. Khapra:
Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization. CoRR abs/1804.07789 (2018) - [i19]Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Preksha Nema, Mitesh M. Khapra, Shreyas Shetty:
A Mixed Hierarchical Attention based Encoder-Decoder Approach for Standard Table Summarization. CoRR abs/1804.07790 (2018) - [i18]Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra, Karthik Sankaranarayanan:
DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension. CoRR abs/1804.07927 (2018) - [i17]Shweta Bhardwaj, Mitesh M. Khapra:
I Have Seen Enough: A Teacher Student Network for Video Classification Using Fewer Frames. CoRR abs/1805.04668 (2018) - [i16]Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Balaraman Ravindran:
HOPF: Higher Order Propagation Framework for Deep Collective Classification. CoRR abs/1805.12421 (2018) - [i15]Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Balaraman Ravindran:
Fusion Graph Convolutional Networks. CoRR abs/1805.12528 (2018) - [i14]Revanth Reddy, Rahul Ramesh, Ameet Deshpande, Mitesh M. Khapra:
A Question-Answering framework for plots using Deep learning. CoRR abs/1806.04655 (2018) - [i13]Suman Banerjee, Nikita Moghe, Siddhartha Arora, Mitesh M. Khapra:
A Dataset for Building Code-Mixed Goal Oriented Conversation Systems. CoRR abs/1806.05997 (2018) - [i12]Preksha Nema, Mitesh M. Khapra:
Towards a Better Metric for Evaluating Question Generation Systems. CoRR abs/1808.10192 (2018) - [i11]Nikita Moghe, Siddhartha Arora, Suman Banerjee, Mitesh M. Khapra:
Towards Exploiting Background Knowledge for Building Conversation Systems. CoRR abs/1809.08205 (2018) - [i10]Anirban Laha, Saneem A. Chemmengath, Priyanka Agrawal, Mitesh M. Khapra, Karthik Sankaranarayanan, Harish G. Ramaswamy:
On Controllable Sparse Alternatives to Softmax. CoRR abs/1810.11975 (2018) - [i9]Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, Balaraman Ravindran:
Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning. CoRR abs/1812.10240 (2018) - 2017
- [c36]Preksha Nema, Mitesh M. Khapra, Anirban Laha, Balaraman Ravindran:
Diversity driven attention model for query-based abstractive summarization. ACL (1) 2017: 1063-1072 - [c35]Sathish Reddy, Dinesh Raghu, Mitesh M. Khapra, Sachindra Joshi:
Generating Natural Language Question-Answer Pairs from a Knowledge Graph Using a RNN Based Question Generation Model. EACL (1) 2017: 376-385 - [c34]Janarthanan Rajendran, Aravind S. Lakshminarayanan, Mitesh M. Khapra, P. Prasanna, Balaraman Ravindran:
Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources in the same domain. ICLR (Poster) 2017 - [c33]Shashank Shrivastava, Mitesh M. Khapra, Sutanu Chakraborti:
A Concept Driven Graph Based Approach for Estimating the Focus Time of a Document. MIKE 2017: 250-260 - [i8]Amrita Saha, Mitesh M. Khapra, Karthik Sankaranarayanan:
Multimodal Dialogs (MMD): A large-scale dataset for studying multimodal domain-aware conversations. CoRR abs/1704.00200 (2017) - [i7]Preksha Nema, Mitesh M. Khapra, Anirban Laha, Balaraman Ravindran:
Diversity driven Attention Model for Query-based Abstractive Summarization. CoRR abs/1704.08300 (2017) - 2016
- [j2]Sarath Chandar, Mitesh M. Khapra, Hugo Larochelle, Balaraman Ravindran:
Correlational Neural Networks. Neural Comput. 28(2): 257-285 (2016) - [c32]Amrita Saha, Mitesh M. Khapra, Sarath Chandar, Janarthanan Rajendran, Kyunghyun Cho:
A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation. COLING 2016: 109-118 - [c31]Anoop Kunchukuttan, Pushpak Bhattacharyya, Mitesh M. Khapra:
Substring-based unsupervised transliteration with phonetic and contextual knowledge. CoNLL 2016: 270-279 - [c30]Mitesh M. Khapra, Sarath Chandar:
Multilingual Multimodal Language Processing Using Neural Networks. HLT-NAACL Tutorials 2016: 6-7 - [c29]Pushpak Bhattacharyya, Mitesh M. Khapra, Anoop Kunchukuttan:
Statistical Machine Translation between Related Languages. HLT-NAACL Tutorials 2016: 17-20 - [c28]Janarthanan Rajendran, Mitesh M. Khapra, Sarath Chandar, Balaraman Ravindran:
Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning. HLT-NAACL 2016: 171-181 - [i6]Amrita Saha, Mitesh M. Khapra, Sarath Chandar, Janarthanan Rajendran, Kyunghyun Cho:
A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation. CoRR abs/1606.04754 (2016) - [i5]Rudramurthy V, Mitesh M. Khapra, Pushpak Bhattacharyya:
Sharing Network Parameters for Crosslingual Named Entity Recognition. CoRR abs/1607.00198 (2016) - 2015
- [c27]Ruty Rinott, Lena Dankin, Carlos Alzate Perez, Mitesh M. Khapra, Ehud Aharoni, Noam Slonim:
Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection. EMNLP 2015: 440-450 - [i4]Sarath Chandar, Mitesh M. Khapra, Hugo Larochelle, Balaraman Ravindran:
Correlational Neural Networks. CoRR abs/1504.07225 (2015) - [i3]Janarthanan Rajendran, P. Prasanna, Balaraman Ravindran, Mitesh M. Khapra:
ADAAPT: A Deep Architecture for Adaptive Policy Transfer from Multiple Sources. CoRR abs/1510.02879 (2015) - [i2]Janarthanan Rajendran, Mitesh M. Khapra, Sarath Chandar, Balaraman Ravindran:
Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning. CoRR abs/1510.03519 (2015) - 2014
- [c26]Noam Slonim, Ehud Aharoni, Carlos Alzate, Roy Bar-Haim, Yonatan Bilu, Lena Dankin, Iris Eiron, Daniel Hershcovich, Shay Hummel, Mitesh M. Khapra, Tamar Lavee, Ran Levy, Paul Matchen, Anatoly Polnarov, Vikas C. Raykar, Ruty Rinott, Amrita Saha, Naama Zwerdling, David Konopnicki, Dan Gutfreund:
Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora. COLING (Demos) 2014: 6-9 - [c25]Mitesh M. Khapra, Ananthakrishnan Ramanathan, Anoop Kunchukuttan, Karthik Visweswariah, Pushpak Bhattacharyya:
When Transliteration Met Crowdsourcing : An Empirical Study of Transliteration via Crowdsourcing using Efficient, Non-redundant and Fair Quality Control. LREC 2014: 196-202 - [c24]A. P. Sarath Chandar, Stanislas Lauly, Hugo Larochelle, Mitesh M. Khapra, Balaraman Ravindran, Vikas C. Raykar, Amrita Saha:
An Autoencoder Approach to Learning Bilingual Word Representations. NIPS 2014: 1853-1861 - [i1]A. P. Sarath Chandar, Stanislas Lauly, Hugo Larochelle, Mitesh M. Khapra, Balaraman Ravindran, Vikas C. Raykar, Amrita Saha:
An Autoencoder Approach to Learning Bilingual Word Representations. CoRR abs/1402.1454 (2014) - 2013
- [c23]Karthik Visweswariah, Mitesh M. Khapra, Ananthakrishnan Ramanathan:
Cut the noise: Mutually reinforcing reordering and alignments for improved machine translation. ACL (1) 2013: 1275-1284 - [c22]Balamurali A. R., Mitesh M. Khapra, Pushpak Bhattacharyya:
Lost in Translation: Viability of Machine Translation for Cross Language Sentiment Analysis. CICLing (2) 2013: 38-49 - [c21]Mitesh M. Khapra, Ananthakrishnan Ramanathan, Karthik Visweswariah:
Improving reordering performance using higher order and structural features. HLT-NAACL 2013: 315-324 - [c20]Mitesh M. Khapra, Salil Joshi, Ananthakrishnan Ramanathan, Karthik Visweswariah:
Offering language based services on social media by identifying user's preferred language(s) from romanized text. WWW (Companion Volume) 2013: 71-72 - 2012
- [c19]Mitesh M. Khapra, Ananthakrishnan Ramanathan, Karthik Visweswariah:
Whitepaper for Shared Task on Learning Reordering from Word Alignments at RSMT 2012. SMT@COLING 2012: 1-8 - [c18]Mitesh M. Khapra, Ananthakrishnan Ramanathan, Karthik Visweswariah:
Report of the Shared Task on Learning Reordering from Word Alignments at RSMT 2012. SMT@COLING 2012: 9-16 - [c17]Salil Joshi, Mitesh M. Khapra, Pushpak Bhattacharyya:
I Can Sense It: a Comprehensive Online System for WSD. COLING (Demos) 2012: 247-254 - [c16]Anoop Kunchukuttan, Shourya Roy, Pratik Patel, Kushal Ladha, Somya Gupta, Mitesh M. Khapra, Pushpak Bhattacharyya:
Experiences in Resource Generation for Machine Translation through Crowdsourcing. LREC 2012: 384-391 - [e1]Karthik Visweswariah, Ananthakrishnan Ramanathan, Mitesh M. Khapra:
Proceedings of the Workshop on Reordering for Statistical Machine Translation@COLING 2012, Mumbai, India, December 9, 2012. The COLING 2012 Organizing Committee 2012 [contents] - 2011
- [c15]Mitesh M. Khapra, Salil Joshi, Arindam Chatterjee, Pushpak Bhattacharyya:
Together We Can: Bilingual Bootstrapping for WSD. ACL 2011: 561-569 - [c14]Mitesh M. Khapra, Salil Joshi, Pushpak Bhattacharyya:
It Takes Two to Tango: A Bilingual Unsupervised Approach for Estimating Sense Distributions using Expectation Maximization. IJCNLP 2011: 695-704 - 2010
- [j1]A. Kumaran, Mitesh M. Khapra, Pushpak Bhattacharyya:
Compositional Machine Transliteration. ACM Trans. Asian Lang. Inf. Process. 9(4): 13:1-13:29 (2010) - [c13]Mitesh M. Khapra, Raghavendra Udupa, A. Kumaran, Pushpak Bhattacharyya:
PR + RQ ALMOST EQUAL TO PQ: Transliteration Mining Using Bridge Language. AAAI 2010: 1346-1351 - [c12]Mitesh M. Khapra, Anup Kulkarni, Saurabh Sohoney, Pushpak Bhattacharyya:
All Words Domain Adapted WSD: Finding a Middle Ground between Supervision and Unsupervision. ACL 2010: 1532-1541 - [c11]A. Kumaran, Mitesh M. Khapra, Haizhou Li:
Report of NEWS 2010 Transliteration Mining Shared Task. NEWS@ACL 2010: 21-28 - [c10]A. Kumaran, Mitesh M. Khapra, Haizhou Li:
Whitepaper of NEWS 2010 Shared Task on Transliteration Mining. NEWS@ACL 2010: 29-38 - [c9]Harshada Gune, Mugdha Bapat, Mitesh M. Khapra, Pushpak Bhattacharyya:
Verbs are where all the action lies: Experiences of Shallow Parsing of a Morphologically Rich Language. COLING (Posters) 2010: 347-355 - [c8]Mitesh M. Khapra, Saurabh Sohoney, Anup Kulkarni, Pushpak Bhattacharyya:
Value for Money: Balancing Annotation Effort, Lexicon Building and Accuracy for Multilingual WSD. COLING 2010: 555-563 - [c7]Raghavendra Udupa, Mitesh M. Khapra:
Transliteration Equivalence Using Canonical Correlation Analysis. ECIR 2010: 75-86 - [c6]Mitesh M. Khapra, A. Kumaran, Pushpak Bhattacharyya:
Everybody loves a rich cousin: An empirical study of transliteration through bridge languages. HLT-NAACL 2010: 420-428 - [c5]Raghavendra Udupa, Mitesh M. Khapra:
Improving the Multilingual User Experience of Wikipedia Using Cross-Language Name Search. HLT-NAACL 2010: 492-500 - [c4]Lipta Mahapatra, Meera Mohan, Mitesh M. Khapra, Pushpak Bhattacharyya:
OWNS: Cross-lingual Word Sense Disambiguation Using Weighted Overlap Counts and Wordnet Based Similarity Measures. SemEval@ACL 2010: 138-141 - [c3]Anup Kulkarni, Mitesh M. Khapra, Saurabh Sohoney, Pushpak Bhattacharyya:
CFILT: Resource Conscious Approaches for All-Words Domain Specific WSD. SemEval@ACL 2010: 421-426
2000 – 2009
- 2009
- [c2]Mitesh M. Khapra, Pushpak Bhattacharyya:
Improving Transliteration Accuracy Using Word-Origin Detection and Lexicon Lookup. NEWS@IJCNLP 2009: 84-87 - [c1]Mitesh M. Khapra, Sapan Shah, Piyush Kedia, Pushpak Bhattacharyya:
Projecting Parameters for Multilingual Word Sense Disambiguation. EMNLP 2009: 459-467
Coauthor Index
Sarath Chandar
aka: A. P. Sarath Chandar
aka: A. P. Sarath Chandar
[c88] [c87] [i79] [i78] [i71] [j9] [c83] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [i63] [i62] [i60] [c73] [c72] [c71] [c70] [c68] [c67] [i59] [i56] [i55] [i54] [i53] [i52] [i51] [i50] [i49] [i48] [c66] [c65] [i47] [i46] [i45] [i43] [i41] [i40] [c60] [c59] [c57] [c56] [c55] [i38] [i36] [i35] [i25]
Ananya Sai
aka: Ananya B. Sai
aka: Ananya B. Sai
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