Rahul Aralikatte

I am a Ph.D student in the CoAStaL NLP group at the University of Copenhagen working with Prof. Anders Søgaard. My area of research is Natural Language Understanding. Recently I have been working on improving coreference and SRL models jointly, generating faithful summaries, and efficient transfer in low-resource settings. I am funded by a Google Focused Research Award.

Recent News

• June 2021: "Itihasa: A large-scale corpus for Sanskrit to English translation" accepted in WAT, at ACL 2021. [arXiv][data]
• June 2021: "Minimax and Neyman-Pearson Meta-Learning for Outlier Languages" accepted in Findings of ACL 2021. [arXiv]
• June 2021: "Focus Attention: Promoting Faithfulness and Diversity in Summarization" accepted in ACL 2021. [arXiv]
• January 2021: "Ellipsis Resolution as Question Answering: An Evaluation" accepted in EACL 2021. [arXiv]
• December 2020: "Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards" accepted in AAAI 2021. [arXiv]

Publications

2021

• Itihāsa: A large-scale corpus for Sanskrit to English translation. WAT at ACL 2021 (arXiv) (data)

  Rahul Aralikatte, Miryam de Lhoneux, Anoop Kunchukuttan, Anders Søgaard

• Focus Attention: Promoting Faithfulness and Diversity in Summarization. ACL 2021. (arXiv)

  Rahul Aralikatte, Shashi Narayan, Joshua Maynez, Sascha Rothe, Ryan T. McDonald

• Minimax and Neyman-Pearson Meta-Learning for Outlier Languages. Findings of ACL 2021. (arXiv) (code)

  Edoardo Maria Ponti*, Rahul Aralikatte*, Disha Shrivastava, Siva Reddy, Anders Søgaard

• Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards. AAAI 2021. (pdf) (code)

  Rahul Aralikatte, Mostafa Abdou, Heather C. Lent, Daniel Hershcovich, Anders Søgaard

• Ellipsis Resolution as Question Answering: An Evaluation (pdf) (code)

  Rahul Aralikatte, Matthew Lamm, Daniel Hardt, Anders Søgaard

2020

Model-based Annotation of Coreference. LREC 2020. (pdf) (data)

Rahul Aralikatte, Anders Søgaard

2019

• Rewarding Coreference Resolvers for Being Consistent with World Knowledge. EMNLP-IJCNLP 2019. (pdf) (code)

  Rahul Aralikatte, Heather C. Lent, Ana Valeria González-Garduño, Daniel Hershcovich, Chen Qiu, Anders Sandholm, Michael Ringaard, Anders Søgaard

• Compositional Generalization in Image Captioning. CONLL 2019. (pdf) (code)

  Mitja Nikolaus, Mostafa Abdou, Matthew Lamm, Rahul Aralikatte, Desmond Elliott

• X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension. DeepLo at EMNLP-IJCNLP 2019. (pdf)(code)

  Mostafa Abdou, Cezar Sas, Rahul Aralikatte, Isabelle Augenstein, Anders Søgaard

• Adversarial Black-Box Attacks for Automatic Speech Recognition Systems Using Multi-Objective Genetic Optimization. Interspeech 2019. (pdf)

  Shreya Khare, Rahul Aralikatte, Senthil Mani

• DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging. COMAD/CODS 2019. (arXiv)

  Senthil Mani, Anush Sankaran, Rahul Aralikatte

• A Visual Programming Paradigm for Abstract Deep Learning Model Development. India HCI 2019. (arXiv)

  Srikanth Tamilselvam, Naveen Panwar, Shreya Khare, Rahul Aralikatte, Anush Sankaran, Senthil Mani

2018

• DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension. ACL 2018. (pdf) (data)

  Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra, Karthik Sankaranarayanan

• Sanskrit Sandhi Splitting using seq2(seq)2. EMNLP 2018. (pdf)

  Rahul Aralikatte, Neelamadhav Gantayat, Naveen Panwar, Anush Sankaran, Senthil Mani

• Hi, How Can I Help You?: Automating Enterprise IT Support Help Desks. IAAI 2018. (arXiv)

  Senthil Mani, Neelamadhav Gantayat, Rahul Aralikatte, Monika Gupta, Sampath Dechu, Anush Sankaran, Shreya Khare, Barry Mitchell, Hemamalini Subramanian, Hema Venkatarangan

• Agent Assist: Automating Enterprise IT Support Help Desks. AAAI 2018. (pdf)

  Senthil Mani, Neelamadhav Gantayat, Rahul Aralikatte, Monika Gupta, Sampath Dechu, Anush Sankaran, Shreya Khare, Barry Mitchell, Hemamalini Subramanian, Hema Venkatarangan

• Democratization of Deep Learning Using DARVIZ. AAAI 2018. (pdf)

  Anush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani, Akshay Sethi, Rahul Aralikatte, Neelamadhav Gantayat

• Fault in your stars: An Analysis of Android App Reviews. COMAD/CODS 2018. (pdf)

  Rahul Aralikatte, Giriprasad Sridhara, Neelamadhav Gantayat, Senthil Mani

2017

• DARVIZ: Deep Abstract Representation, Visualization, and Verification of Deep Learning Models. ICSE NIER 2017. (arXiv)

  Anush Sankaran, Rahul Aralikatte, Senthil Mani, Shreya Khare, Naveen Panwar, Neelamadhav Gantayat

• mAnI: Movie Amalgamation using Neural Imitation. ML4Creativity workshop at KDD 2017. (arXiv)

  Naveen Panwar, Shreya Khare, Neelamadhav Gantayat, Rahul Aralikatte, Senthil Mani, Anush Sankaran

2015

• Phoenix: A Self-Optimizing Chess Engine. CICN 2015. (arXiv)

  Rahul Aralikatte, G Srinivasaraghavan

Patents

• Debugging deep neural networks (link)

  Rahul Aralikatte, Srikanth Govindaraj Tamilselvam, Shreya Khare, Naveen Panwar, Anush Sankaran, Senthil Kumar Kumarasamy Mani

• Multi-Modal Construction of Deep Learning Networks (link)

  Rahul Aralikatte, Neelamadhav Gantayat, Shreya Khare, Senthil Kumar Kumarasamy Mani, Naveen Panwar, Anush Sankaran

• Suggestion and Completion of Deep Learning Models from a Catalog (link)

  Anush Sankaran, Naveen Panwar, Srikanth Govindaraj Tamilselvam, Shreya Khare, Rahul Aralikatte, Senthil Kumar Kumarasamy Mani

• Deep-learning model catalog creation (link)

  Shreya Khare, Srikanth Govindaraj Tamilselvam, Anush Sankaran, Naveen Panwar, Rahul Aralikatte, Senthil Kumar Kumarasamy Mani

• Collaborative deep learning model authoring tool (link)

  Anush Sankaran, Rahul Aralikatte, Shreya Khare, Naveen Panwar, Senthil Kumar Kumarasamy Mani, Srikanth Govindaraj Tamilselvam

• Application recommendation based on permissions (link)

  Rahul Aralikatte, Vijay Ekambaram, Senthil Kumar Kumarasamy Mani, Giriprasad Sridhara

• Mobile application update manager (link)

  Giriprasad Sridhara, Rahul Aralikatte, Senthil Kumar Kumarasamy Mani, Vijay Ekambaram

Service