NLPExplorer

Deepak Gupta

Number of Papers:- 24

Number of Citations:- 11

First ACL Paper:- 2003

Latest ACL Paper:- 2024

Venues:-

NAACL

ICNLSP

WMT

COLING

BioNLP

ICON

CoNLL

Findings

MTSummit

ACL

*SEMEVAL

IJCNLP

EMNLP

AACL

EAMT

LREC

Co-Authors:-

Similar Authors:-

Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models ACL

Surgical Feature-Space Decomposition of LLMs: Why, When and How? ACL

Arnav Chavan | Nahush Lele | Deepak Gupta |

Large Scale Generative Multimodal Attribute Extraction for E-commerce Attributes ACL

Anant Khandelwal | Happy Mittal | Shreyas Kulkarni | Deepak Gupta |

Overview of the MedVidQA 2022 Shared Task on Medical Video Question-Answering ACL BioNLP

Deepak Gupta | Dina Demner-Fushman |

Distantly Supervised Aspect Clustering And Naming For E-Commerce Reviews NAACL

Prateek Sircar | Aniket Chakrabarti | Deepak Gupta | Anirban Majumdar |

NLM at MEDIQA 2021: Transfer Learning-based Approaches for Consumer Question and Multi-Answer Summarization BioNLP NAACL

Shweta Yadav | Mourad Sarrouti | Deepak Gupta |

Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation EMNLP Findings

Humair Raj Khan | Deepak Gupta | Asif Ekbal |

BloomNet: A Robust Transformer based model for Bloom’s Learning Outcome Classification ICNLSP

Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards ACL IJCNLP

Shweta Yadav | Deepak Gupta | Asma Ben Abacha | Dina Demner-Fushman |

A Unified Framework for Multilingual and Code-Mixed Visual Question Answering AACL

Deepak Gupta | Pabitra Lenka | Asif Ekbal | Pushpak Bhattacharyya |

Reinforced Multi-task Approach for Multi-hop Question Generation COLING

A Semi-supervised Approach to Generate the Code-Mixed Text using Pre-trained Encoder and Transfer Learning EMNLP Findings

Deepak Gupta | Asif Ekbal | Pushpak Bhattacharyya |

Can Taxonomy Help? Improving Semantic Question Matching using Question Taxonomy COLING

Uncovering Code-Mixed Challenges: A Framework for Linguistically Driven Question Generation and Neural Based Question Answering CoNLL

Deepak Gupta | Pabitra Lenka | Asif Ekbal | Pushpak Bhattacharyya |

A Deep Neural Network based Approach for Entity Extraction in Code-Mixed Indian Social Media Text LREC

Deepak Gupta | Asif Ekbal | Pushpak Bhattacharyya |

MMQA: A Multi-domain Multi-lingual Question-Answering Framework for English and Hindi LREC

Deepak Gupta | Surabhi Kumari | Asif Ekbal | Pushpak Bhattacharyya |

IITP at IJCNLP-2017 Task 4: Auto Analysis of Customer Feedback using CNN and GRU Network IJCNLP

IIT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue Identification *SEMEVAL

Opinion Mining in a Code-Mixed Environment: A Case Study with Government Portals ICON WS

Deepak Gupta | Ankit Lamba | Asif Ekbal | Pushpak Bhattacharyya |

IITP: Supervised Machine Learning for Aspect based Sentiment Analysis *SEMEVAL

Deepak Kumar Gupta | Asif Ekbal |

POS-based reordering models for statistical machine translation MTSummit

Deepa Gupta | Mauro Cettolo | Marcello Federico |

Morpho-syntactic Information for Automatic Error Analysis of Statistical Machine Translation Output WMT WS

Exploiting Word Transformation in Statistical Machine Translation from Spanish to English EAMT

Deepa Gupta | Marcello Federico |

Identification of divergence for English to Hindi EBMT MTSummit

Deepa Gupta | Niladri Chatterjee |