NLPExplorer

Mayank Singh

Number of Papers:- 24

Number of Citations:- 1

First ACL Paper:- 2016

Latest ACL Paper:- 2024

Venues:-

NAACL

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P

COLING

CALCS

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EMNLP

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sdp

Findings

SemEval

WNUT

E

C

LREC

M

Eval4NLP

g

A

d

WS

ACL

WMT

*SEMEVAL

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IJCNLP

INLG

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F

n

Co-Authors:-

Animesh Mukherjee

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Cross-lingual Editing in Multilingual Language Models F i n d i n g s - E A C L

Himanshu Beniwal | Kowsik D | Mayank Singh |

CoSAEmb: Contrastive Section-aware Aspect Embeddings for Scientific Articles sdp WS

Shruti Singh | Mayank Singh |

PythonSaga: Redefining the Benchmark to Evaluate Code Generating LLMs F i n d i n g s - E M N L P

Ankit Yadav | Himanshu Beniwal | Mayank Singh |

Learning to Generate Rules for Realistic Few-Shot Relation Classification: An Encoder-Decoder Approach F i n d i n g s - E M N L P

Mayank Singh | Eduardo Blanco |

Commentator: A Code-mixed Multilingual Text Annotation Framework EMNLP

Rajvee Sheth | Shubh Nisar | Heenaben Prajapati | Himanshu Beniwal | Mayank Singh |

Remember This Event That Year? Assessing Temporal Information and Understanding in Large Language Models F i n d i n g s - E M N L P

Himanshu Beniwal | Dishant Patel | Kowsik Nandagopan D | Hritik Ladia | Ankit Yadav | Mayank Singh |

LEGOBench: Scientific Leaderboard Generation Benchmark F i n d i n g s - E M N L P

Shruti Singh | Shoaib Alam | Husain Malwat | Mayank Singh |

MUTANT: A Multi-sentential Code-mixed Hinglish Dataset F i n d i n g s - E A C L

Rahul Gupta | Vivek Srivastava | Mayank Singh |

Unveiling the Multi-Annotation Process: Examining the Influence of Annotation Quantity and Instance Difficulty on Model Performance F i n d i n g s - E M N L P

Pritam Kadasi | Mayank Singh |

The Inefficiency of Language Models in Scholarly Retrieval: An Experimental Walk-through ACL Findings

Shruti Singh | Mayank Singh |

The Bull and the Bear: Summarizing Stock Market Discussions LREC

Ayush Kumar | Dhyey Jani | Jay Shah | Devanshu Thakar | Varun Jain | Mayank Singh |

HinglishEval Generation Challenge on Quality Estimation of Synthetic Code-Mixed Text: Overview and Results INLG

Vivek Srivastava | Mayank Singh |

Overview and Results of MixMT Shared-Task at WMT 2022 WMT

Vivek Srivastava | Mayank Singh |

Challenges and Limitations with the Metrics Measuring the Complexity of Code-Mixed Text CALCS NAACL

Vivek Srivastava | Mayank Singh |

Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text INLG

Vivek Srivastava | Mayank Singh |

HinGE: A Dataset for Generation and Evaluation of Code-Mixed Hinglish Text EMNLP Eval4NLP

Vivek Srivastava | Mayank Singh |

TweeNLP: A Twitter Exploration Portal for Natural Language Processing ACL IJCNLP

Viraj Shah | Shruti Singh | Mayank Singh |

MIPE: A Metric Independent Pipeline for Effective Code-Mixed NLG Evaluation EMNLP Eval4NLP

Ayush Garg | Sammed Kagi | Vivek Srivastava | Mayank Singh |

PoliWAM: An Exploration of a Large Scale Corpus of Political Discussions on WhatsApp Messenger EMNLP WNUT

Vivek Srivastava | Mayank Singh |

IIT Gandhinagar at SemEval-2020 Task 9: Code-Mixed Sentiment Classification Using Candidate Sentence Generation and Selection COLING SemEval

Vivek Srivastava | Mayank Singh |

PHINC: A Parallel Hinglish Social Media Code-Mixed Corpus for Machine Translation EMNLP WNUT

Vivek Srivastava | Mayank Singh |

IIT Gandhinagar at SemEval-2019 Task 3: Contextual Emotion Detection Using Deep Learning *SEMEVAL

Arik Pamnani | Rajat Goel | Jayesh Choudhari | Mayank Singh |

CL Scholar: The ACL Anthology Knowledge Graph Miner NAACL

Mayank Singh | Pradeep Dogga | Sohan Patro | Dhiraj Barnwal | Ritam Dutt | Rajarshi Haldar | Pawan Goyal | Animesh Mukherjee |

OCR++: A Robust Framework For Information Extraction from Scholarly Articles COLING

Mayank Singh | Barnopriyo Barua | Priyank Palod | Manvi Garg | Sidhartha Satapathy | Samuel Bushi | Kumar Ayush | Krishna Sai Rohith | Tulasi Gamidi | Pawan Goyal | Animesh Mukherjee |

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