NLPExplorer

Aditya Joshi

Number of Papers:- 40

Number of Citations:- 88

First ACL Paper:- 2011

Latest ACL Paper:- 2025

Venues:-

*SEMEVAL

WASSA

ICON

LREC

CMCL

NAACL

EXprom

SemEval

TeachingNLP

IJCNLP

COLING

EMNLP

LaTeCH

ACL

Findings

CoNLL

ALTA

SUMEval

Co-Authors:-

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Evaluating Dialect Robustness of Language Models via Conversation Understanding SUMEval WS

Dipankar Srirag | Nihar Ranjan Sahoo | Aditya Joshi |

Predicting the Target Word of Game-playing Conversations using a Low-Rank Dialect Adapter for Decoder Models NAACL

Dipankar Srirag | Aditya Joshi | Jacob Eisenstein |

BAMBINO-LM: (Bilingual-)Human-Inspired Continual Pre-training of BabyLM CMCL WS

Zhewen Shen | Aditya Joshi | Ruey-Cheng Chen |

Striking a Balance between Classical and Deep Learning Approaches in Natural Language Processing Pedagogy TeachingNLP WS

Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks ACL Findings

Ashutosh Kumar | Aditya Joshi |

IISERB Brains at SemEval-2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English NAACL SemEval

Recommendation Chart of Domains for Cross-Domain Sentiment Analysis: Findings of A 20 Domain Study LREC

Akash Sheoran | Diptesh Kanojia | Aditya Joshi | Pushpak Bhattacharyya |

Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection ACL

“When Numbers Matter!”: Detecting Sarcasm in Numerical Portions of Text NAACL WS

A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics ACL WS

Red-faced ROUGE: Examining the Suitability of ROUGE for Opinion Summary Evaluation ALTA

Does Multi-Task Learning Always Help?: An Evaluation on Health Informatics ALTA

Overview of the 2019 ALTA Shared Task: Sarcasm Target Identification ALTA

Diego Molla | Aditya Joshi |

Sarcasm Target Identification: Dataset and An Introductory Approach LREC

Aditya Joshi | Pranav Goel | Pushpak Bhattacharyya | Mark Carman |

Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection EMNLP WS

Computational Sarcasm EMNLP

Pushpak Bhattacharyya | Aditya Joshi |

Detecting Sarcasm Using Different Forms Of Incongruity WASSA WS

Aditya Joshi |

Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text COLING

Aditya Joshi | Ameya Prabhu | Manish Shrivastava | Vasudeva Varma |

Are Word Embedding-based Features Useful for Sarcasm Detection? EMNLP

Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series ‘Friends’ CoNLL

Aditya Joshi | Vaibhav Tripathi | Pushpak Bhattacharyya | Mark J. Carman |

That’ll Do Fine!: A Coarse Lexical Resource for English-Hindi MT, Using Polylingual Topic Models LREC

Diptesh Kanojia | Aditya Joshi | Pushpak Bhattacharyya | Mark James Carman |

How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature ALTA

Political Issue Extraction Model: A Novel Hierarchical Topic Model That Uses Tweets By Political And Non-Political Authors WASSA WS

Aditya Joshi | Pushpak Bhattacharyya | Mark Carman |

How Do Cultural Differences Impact the Quality of Sarcasm Annotation?: A Case Study of Indian Annotators and American Text LaTeCH WS

‘Who would have thought of that!’: A Hierarchical Topic Model for Extraction of Sarcasm-prevalent Topics and Sarcasm Detection EXprom WS

Aditya Joshi | Prayas Jain | Pushpak Bhattacharyya | Mark Carman |

A Computational Approach to Automatic Prediction of Drunk-Texting ACL IJCNLP

Harnessing Context Incongruity for Sarcasm Detection ACL IJCNLP

Aditya Joshi | Vinita Sharma | Pushpak Bhattacharyya |

Sentibase: Sentiment Analysis in Twitter on a Budget *SEMEVAL

Satarupa Guha | Aditya Joshi | Vasudeva Varma |

SIEL: Aspect Based Sentiment Analysis in Reviews *SEMEVAL

Satarupa Guha | Aditya Joshi | Vasudeva Varma |

Your Sentiment Precedes You: Using an author’s historical tweets to predict sarcasm WASSA WS

Anupam Khattri | Aditya Joshi | Pushpak Bhattacharyya | Mark Carman |

A temporal expression recognition system for medical documents by ICON WS

Naman Gupta | Aditya Joshi | Pushpak Bhattacharyya |

Using Multilingual Topic Models for Improved Alignment in English-Hindi MT ICON WS

Diptesh Kanojia | Aditya Joshi | Pushpak Bhattacharyya | Mark James Carman |

Measuring Sentiment Annotation Complexity of Text ACL

Aditya Joshi | Abhijit Mishra | Nivvedan Senthamilselvan | Pushpak Bhattacharyya |

A cognitive study of subjectivity extraction in sentiment annotation WASSA WS

Abhijit Mishra | Aditya Joshi | Pushpak Bhattacharyya |

Making Headlines in Hindi: Automatic English to Hindi News Headline Translation IJCNLP

Aditya Joshi | Kashyap Popat | Shubham Gautam | Pushpak Bhattacharyya |

Cross-Lingual Sentiment Analysis for Indian Languages using Linked WordNets COLING

Balamurali A.R. | Aditya Joshi | Pushpak Bhattacharyya |

Cost and Benefit of Using WordNet Senses for Sentiment Analysis LREC

Balamurali AR | Aditya Joshi | Pushpak Bhattacharyya |

Harnessing WordNet Senses for Supervised Sentiment Classification EMNLP

Balamurali AR | Aditya Joshi | Pushpak Bhattacharyya |

C-Feel-It: A Sentiment Analyzer for Micro-blogs ACL

Aditya Joshi | Balamurali AR | Pushpak Bhattacharyya | Rajat Mohanty |

Robust Sense-based Sentiment Classification WS

Balamurali AR | Aditya Joshi | Pushpak Bhattacharyya |