Dr. Muskaan Singh

• Researcher, Aug 2020 – Jan 2022
  Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics, Charles
  University, Prague, Czech Republic.
• Visiting Researcher Sep 2021- Present
  School of Computing, Eng Intel. Sys, Ulster University, Londerderry, Northern Ireland, UK.
• Assistant Professor, Jan 2020 – July 2020
  Computer Science and Engineering , Chandigarh University, India.
• Lecturer, 1 Jan 2018 – Jan 6 2020
  Thapar Institute of Engineering and Technology, Patiala, Punjab, India.
• Assistant Professor, June 2015 – Feb 2016
  National Institute of Technology(NIT), Kurukshetra India.
• Research Assistant, June 2014 – May 2015
  International Institute of Information Technology Hyderabad(IIIT-H),India

Journals

1. Singh, Muskaan, Ravinder Kumar, and Inderveer Chana. “A forefront to machine translation technology: deployment on the cloud as a service to enhance QoS parameters.”,Soft Computing, Springer[Published][SCI,IF=3.518]
2.  Singh, Muskaan, Ravinder Kumar, and Inderveer Chana. “Improving Neural Machine Translation for Low-Resource Indian Languages Using Rule-based Feature Extraction”, Neural Computing and Application, Springer[Published][SCI,IF=5.573 ]
3. Singh, Muskaan, Ravinder Kumar, and Inderveer Chana. “Machine Translation Systems for Indian Languages: Review of Modelling Techniques, Challenges, Open Issues and Future Research Directions”, Archives of Computational Methods in Engineering, Springer [Published][SCI,IF=7.36]
4. Singh, Muskaan, Ravinder Kumar, and Inderveer Chana. “Hybrid Machine Translation
   System Using Deep Learning” ASM Science Journal.
5. Singh, Muskaan, Ravinder Kumar, and Inderveer Chana. “Corpus based Machine Translation System with Deep Neural Network for Sanskrit to Hindi Translation.”, Procedia Computer Science 167 (2020): 2534-2544.
6. Singh, Muskaan, Ravinder Kumar, and Inderveer Chana. “Machine Translation Intelligent System as a Service: An aid to Teaching and Learning Process”,Computer, IEEE Computer Soceity. [Under Review][SCI,IF=3.5]
7. Singh, Muskaan, Ravinder Kumar, and Inderveer Chana. “A Error Taxonomy for MorphologicallyRich Languages: A Case Study on Sanskrit-Hindi language”, Transaction for Asian and Low Resource Language Information Processing, ACM [Under Review][SCI, IF 2.2]

International Conference

1. Tirthankar Ghosal mn, Muskaan Singh, Anja Nedoluzhko, and Ondrej Bojar. Overview of the First Shared Task on Automatic Minuting. In Proceedings of the First Shared Task on Automatic Minuting at Interspeech 2021.
2. Tirthankar Ghosal, Muskaan Singh, Anja Nedoluzhko, and Ondrej Bojar. Overview of the SummDial Special Session at SIGDial 2021. In SIGIR Forum (December 2021).
3. Basavraj Chinagundi, Muskaan Singh, Tirthankar Ghosal and Prashant Singh Rana. Classification of Hate, Offensive and Profane content from Tweets: TIET-CUNI @ HASOC @ FIRE 2021 In Proceedings of Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages and Conversational Hate Speech, in FIRE 2021: Forum for Information Retrieval Evaluation, Virtual Event, 13th-17th December 2021, ACM, 2021.
4. Aakash Bhatnagar, Nidhir Bhavsar, Muskaan Singh, Tirthankar Ghosal. Team CUNI-NU at BioCreative VII LitCovid Track: Multi-label Topical Classification of Scientific Articles using SPECTER Embeddings with Dual Attention and Label-Wise Attention Network. In Proceedings of the BioCreative VII workshop (2021)
5. Ashish Rana, Deepanshu Khanna, Tirthankar Ghosal, Muskaan Singh, Harpreet Singh, and Prashant Singh Rana. RERRFACT: Reduced Evidence Retrieval Representations for Scientific Claim Verification in the Scholarly Document Workshop (SDU) at AAAI 2022 (accepted).
6. Muskaan Singh, Tirthankar Ghosal, and Ondrej Bojar. An Empirical Performance Analysis of State-of-the-Art Summarization Models for Automatic Minuting In Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation (PACLIC 35).
7. Peter Pol´ak, Muskaan Singh, Ondˇrej Bojar, Explainable quality estimation: Cuni eval4nlp submission, Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems, EMNLP 2021.
8. Ghosal, T., & Singh, M. Tracing Idea Propagation in a Scholarly Network via Identification of Meaningful Citations (To Appear) in the 84th Annual Meeting of the Association for Information Science and Technology (ASIS&T), 2021.
9. Peter Pol´ak, Muskaan Singh, Ondˇrej Bojar, ALIGNMEET: A Comprehensive Tool for Meeting Annotation, Alignment, and Evaluation, AAAI-2022 Demo.
10. Tirthankar Ghosal, Muskaan Singh, Anja Nedoluzhko, and Ondrej Bojar. Overview of the SummDial Special Session at SIGDial 2021. In SIGIR Forum (December 2021)
11. Aakash Bhatnagar, Nidhir Bhavsar, Muskaan Singh, Tirthankar Ghosal. Team CUNI-NU at BioCreative VII LitCovid Track: Multi-label Topical Classification of Scientific Articles using SPECTER Embeddings with Dual Attention and Label-Wise Attention Network. In Proceedings of the BioCreative VII workshop (2021)
12. Kaushik, V.K., Ghosal, T., Tiwari, P. & Singh, M. IITP@3C 2021: Citation Classification (Task A) and Citation Significance Detection (Task B) In Proceedings of The Second Workshop on Scholarly Document Processing at NAACL 2021
13. Guneet Singh Kohli, Prabsimran Kaur, Muskaan Singh, Tirthankar Ghosal and Prashant Rana (2021) ARGUABLY @ AI Debater-NLPCC 2021 Task 3: Argument Pair Extraction from Peer Review and Rebuttals In Proceedings of NLPCC-Evaluation 2021.
14. Singh, Muskaan, Ravinder Kumar, and Inderveer Chana. “Neuro-FGA Based Machine Translation System for Sanskrit to Hindi Language.” International Conference on Innovative Sustainable Computational Technologies (CISCT),Dehradun, Uttarakhand, India. IEEE, 2019.
15. Singh, Muskaan, Ravinder Kumar, and Inderveer Chana.“Improving Neural Machine Translation Using Rule-Based Machine Translation.” 7th International Conference on Smart Computing & Communications (ICSCC),Curtin University, Miri, Malaysia, IEEE, 2019[BEST PAPER AWARD] Springer.
16. Singh, Muskaan, Ravinder Kumar, and Inderveer Chana. “Neural-Based Machine Translation System Outperforming Statistical Phrase-Based Machine Translation for Low-Resource Languages.” Twelfth International Conference on Contemporary Computing (IC3),Noida,India, IEEE, 2019.
17. Singh, Muskaan, Ravinder Kumar, and Inderveer Chana. “CDFM-based Secure & Efficient Architecture for Data Management in Cloud Computing.” 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT),Jaipur,India, IEEE, 2019.
18. Singh, Muskaan, Ravinder Kumar, and Inderveer Chana. “Encoding-Decoding Methods for Neural Machine Translation.” 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT),Kerala,India, Vol. 1. IEEE, 2019.
19. Singh, Muskaan, Ravinder Kumar, and Inderveer Chana.”GA-based machine translation system for Sanskrit to Hindi language.” Recent Trends in Communication, Computing, and Electronics. Springer, Singapore, 2019. 419-427.

Posters

1. Muskaan Singh, Tirthankar ghosal, Ondrej Bojar,A Novel Resource for Automatic Minuting, WeCNLP 2021.
2. Muskaan Singh, Tirthankar Ghosal, Identifying Significant Citations via Mining Paper Full-Text,WiNLP, EMNLP 2021.
3. Singh, Muskaan, Ravinder Kumar, and Inderveer Chana. “ Neural Machine Translation for Low-Resource Languages ” ACM, GHC-Poster Presentation, Orlando,USA,2019.
4. Singh, Muskaan, Ravinder Kumar, and Inderveer Chana. “ Neural Machine Translation for Low-Resource Languages ” ACM, GHCI-Poster Presentation, Banglore,India,2019.[BEST Poster Presentation]

Communicated/In-Progress Works (2020-2021)

1. Argumentation mining for peer review [In-progress].
2. Argumentation for scientific claim verification via natural language inference [In-progress].
3. State-of-the-art survey for document level novelty detection [In-progress]
4. End-to-end Argument graph construction for argument pair extraction for peer reviews [InProgress]
5. State-of-the-art survey on Citation classification survey [In-progress]
6. A deep neural approach for mining paper full text for citation classification.[In-progress]
7. Singh, M., Ghosal, T., Nedoluzhko, A., & Bojar, O. All You Need to Know About Meeting Summarization: A Survey on Automated Minuting. [In-Progress]
8. Singh, M., Ghosal, T., Nedoluzhko, A., & Bojar, O. Can we do away with the human evaluation of meeting summaries? Not yet! [Communicated, 2021]
9. Singh, M., Ghosal, T., Nedoluzhko, A., & Bojar, O. An Empirical Evaluation of State-of-the Art Summarization Models for Automatic Minuting, [Communicated, 2021]
10. Nedoluzhko, A., Singh, M., Ghosal, T. & Bojar, O.A Dataset for Automatic Minuting [Communicated, 2021]
11. State-of-the-art semantic similarity of textual data [In progress]
12. Automin Overview Paper [In progress]
13. A report on multi-party dialogues and meeting summarization: SummDial@SIGDIAL2021[In progress]
14. An overview of automin shared task at Interspeech 2021 [In progress]

• ANUSAARAKA: An attempt to build best machine translation tool funded by Govt Of India
• ELITR : European Live Translator funded by EU H2020.
• Argumentation Mining in legal proceedings [Under Review]
• EXTREME: Extended Reality of Meetings [Under Review]
• xTREME: Towards Reality of Metings Dialogues [Under Review]

• Organizing a breakout session at SIGDial 2021 on Automatic Minuting, Meeting/Dialogue
  Summarization
• The organizer of a SIGDial 2021 Special Session on Automatic Minuting and Meeting Summarization: SummDial
• The organizer of a Shared Task on Automatic Minuting (AutoMin) in 2021 with European Live Translator Project ELITR in collaboration with UFAL, CUNI, UEDIN, KIT to be held as a satellite event with Interspeech 2021 at Brno, Czechia
• Can we get away with human evaluation. Not yet!, Invited Talk, AILC Lectures on Computational Linguistics 2021. Rome, Italy
• Regular reviewer of Machine Learning journal, PLOS ONE, ACM-TALLIP, Springer-Sadhana,Springer-IJDL, Expert Systems with Applications, Progress in Artificial Intelligence, PeerJ, IEEE Internet Computing and in Program Committee of major NLP/IR/ML International conferences: ICON, LREC, RecSys, NAACL, ACL, JCDL, AfricaNLP @ ICLR 2020, SKG @ TPDL 2020, AACL-IJCNLP 2020, EMNLP 2020, ACM RecSys 2020, 20th ACM/IEEE JCDL 2020, 58th ACL conference 2020, 12th LREC 2020, ACL-SRW 2020 Workshop, CIKM 2020, WOSP @ JCDL 2020, SMC Data Challenge 2020, SDP 2020, AACL-IJCNLP SRW 2020, AAAI 2021, ICON 2020, NAACL 2021, ACL-IJCNLP 2021, NAACL-SRW 2021, Sci-K at WWW 2021, SIGIR 2021, ACL-IJCNLP SRW 2021, SemEval 2021, EMNLP 2021, SIGDial 2021, SDP 2021, CIKM 2021, W-NUT @ EMNLP 2021, AAAI 2022, AutoMin @ Interspeech
  2021

• Institute of Formal and Applied Linguistics, Charles University, Prague and project ELITR,EU
• School of Computing, Eng & Intel. Sys, Ulster University, Londerderry, Northern Ireland, UK.
• Speech and Audio group, Idiap Research Institute, Martigny (VS), Swizerland.
• ADAPT Centre, School of Computing, Dublin City University, Ireland.
• Computational Data Analytics Group, Oak Ridge National Laboratory, US
• Thapar Institute of Engineering and Technology, India
• AI-NLP-ML Lab, IIT Patna, India
• Cactus Communications, India

1. Awarded with Inclusion and Diversity Grant for attending EMNLP 2021.
2. Invited talk at AILC Lectures on Computational Linguistics 2021. Rome, Italy.
3. Our team is the Prize winner in the EVAL4NLP at EMNLP 2021
4. Our team is the Third Prize winner in the AI Debater Challenge on Argument Pair Extraction
   task at NLPCC2021
5. Awarded with Best poster award in GHC, Florida, 2019.
6. Received ”Best Paper Award”, at , Curtin University, Malaysia, July, 2019.
7. Received ”GHC Scholarship” 2019.
8. Received ”3rd position in Poster Presentation” at GHCI, Banglore, 2019.
9. Qualified UGC-NET, GATE-2013 and GATE-2015.

1. Machine Translation: Theory and Practice workshop at IIT BHU, Varanasi, India.[Duration:1 week]
2. Workshop on “Neural Machine Translation (NMT)” at IIT Patna, Patna, Bihar[Duration: 1 week]
3. Workshop on “Fuzzy intelligent decision making”[Duration:1 week]
4. Workshop on “Cyber Forensics and Information security” at Banasthali University[Duration:2-days].
5. Workshop on “Problem-solving using 3D Printing” at Banasthali University[Duration: 2 days].
6. Faculty induction and orientation program at Thapar University[Duration: 3 weeks].
7. Faculty development program fully sponsored by QIP at IIT Roorkee[Duration: 5 days].

Department of Computer Science,
Indian Institute of Information Technology,
Lucknow, India.
muskaan@iiitl.ac.in