Chatbot as an Intermediary between a Customer and the Customer Care Ecosystem A Sangroya, P Saini, C Anantaram Proceedings of the 9th International Conference on Management of Digital …, 2017 | 17 | 2017 |
Natural language business intelligence question answering through SeqtoSeq transfer learning A Sangroya, P Saini, M Rawat, G Shroff, C Anantaram Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2019 …, 2019 | 3 | 2019 |
Extracting Latent Beliefs and using Epistemic Reasoning to Tailor a Chatbot. A Sangroya, C Anantaram, P Saini, M Rawat IJCAI, 5853-5855, 2018 | 2 | 2018 |
New protocol of ovulation induction with GnRH antagonist compared with GnRH analogue long protocol in IVFET/ICSI cycles P Saini, A Saini HUMAN REPRODUCTION 25, I317-I317, 2010 | 2 | 2010 |
Method and system for providing assistance to interviewers A Dasgupta, I Bhattacharya, GK Palshikar, P Saini, SS Patil, S Datta, ... US Patent App. 17/822,722, 2023 | 1 | 2023 |
Enabling Natural Language Analytics over Relational Data Using Formal Concept Analysis. C Anantaram, M Rastogi, M Rawat, P Saini FCA4AI@ IJCAI, 7-18, 2019 | 1 | 2019 |
Learning latent beliefs and performing epistemic reasoning for efficient and meaningful dialog management A Chhabra, P Saini, A Sangroya, C Anantaram arXiv preprint arXiv:1811.10238, 2018 | 1 | 2018 |
Automatic Extraction of Domain Specific Latent Beliefs in Customer Complaints to Help Tailor Chatbots A Sangroya, C Anantaram, P Saini, M Rawat Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 1 | 2018 |
Effective Modeling of Generative Framework for Document-level Relational Triple Extraction P Saini, T Nayak Proceedings of the Workshop on Generative AI and Knowledge Graphs (GenAIK), 1-12, 2025 | | 2025 |
Methods and systems for predicting difficulty of long form technical questions using weak supervision A Kundu, S Ghosh, P Saini, I Bhattacharya, T Nayak US Patent App. 18/454,136, 2024 | | 2024 |
Method and system for document structure based unsupervised long-form technical question generation S Ghosh, A Kundu, I Bhattacharya, P Saini, T Nayak US Patent App. 18/450,588, 2024 | | 2024 |
Do the Benefits of Joint Models for Relation Extraction Extend to Document-level Tasks? P Saini, T Nayak, I Bhattacharya arXiv preprint arXiv:2310.00696, 2023 | | 2023 |
Method and system for generating a response to an unstructured natural language (NL) query A Sangroya, G Shroff, C Anantaram, M Rawat, P Saini US Patent 11,720,614, 2023 | | 2023 |
90% F1 Score in Relational Triple Extraction: Is it Real? P Saini, S Pal, T Nayak, I Bhattacharya arXiv preprint arXiv:2302.09887, 2023 | | 2023 |
A Two-step Approach for Handling Zero-Cardinality in Relation Extraction. P Saini, T Nayak, S Pal, I Bhattacharya CoRR, 2023 | | 2023 |
Unsupervised Generation of Long-form Technical Questions from Textbook Metadata using Structured Templates I Bhattacharya, S Ghosh, A Kundu, P Saini, T Nayak Proceedings of the First Workshop on Pattern-based Approaches to NLP in the …, 2022 | | 2022 |
A Weak Supervision Approach for Predicting Difficulty of Technical Interview Questions A Kundu, S Ghosh, P Saini, T Nayak, I Bhattacharya Proceedings of the 29th International Conference on Computational …, 2022 | | 2022 |
Structural analysis of wikigraph to investigate quality grades of wikipedia articles P Saini, SRS Iyengar, A Chhabra, S Srivastava | | 2021 |
Extracting Dialog Structure and Latent Beliefs from Dialog Corpus. A Chhabra, P Saini, C Anantaram LaCATODA/BtG@ IJCAI, 30-34, 2019 | | 2019 |
Presence of an ecosystem: a catalyst in the knowledge building process in crowdsourced annotation environments P Saini, RS Bhat, SRS Iyengar, A Chhabra | | 2016 |