Towards Effective Long Conversation Generation with Dynamic Topic Tracking and Recommendation
Published in Proceedings of the 17th International Natural Language Generation Conference, 2024
Publications
X-EVAL: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects
Published in Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics, 2024
Planning and Editing What You Retrieve for Enhanced Tool Learning
Published in Proceedings of of the Association for Computational Linguistics: NAACL 2024, 2024
An Empirical study to understand the Compositional Prowess of Neural Dialog Models
Published in Proceedings of the Third Workshop on Insights from Negative Results in NLP, ACL, 2022
Making Information Seeking Easier: An Improved Pipeline for Conversational Search
Published in Findings of EMNLP 2020, 2020
Ranking Clarification Questions via Natural Language Inference
Published in CIKM 2020, 2020
CAsT-19: A Dataset for Research on Conversational Information Seeking
Published in SIGIR 2020, 2020
ClarQ: A large-scale and diverse dataset for Clarification Question Generation
Published in ACL 2020, 2020
On Compositionality in Neural Machine Translation
Published in Neurips 2019, 2019
On Dimensional Linguistic Properties of the Word Embedding Space
Published in Association for Computational Linguistics (ACL) 2019, 2019
De-Mixing Sentiment from Code-Mixed Text
Published in Association for Computational Linguistics (ACL) 2019, 2019
Weave&Rec : A Word Embedding based 3-D Convolutional Network for News Recommendation
Published in Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
HRAM : A Hybrid Recurrent Attention Machine for News Recommendation
Published in Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
RARE : A Recurrent Attentive Recommendation Engine for News Aggregators
Published in In 6th International Workshop on News Recommendation and Analytics (in conjunction with CIKM), 2018
Enabling Code-Mixed Translation: Parallel Corpus Creation and MT Augmentation Approach
Published in Linguistic Resources for NLP organised as a part of COLING Workshops, 2018
Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks
Published in Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, 2018
SWDE: A Sub-Word And Document Embedding Based Engine for Clickbait Detection
Published in Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval Workshops, 2018
Neural Content-Collaborative Filtering for News Recommendation
Published in Proceedings of Second International Workshop on Recent Trends in News Information Retrieval co-located with 40th European Conference on Information Retrieval, 2018
User Profiling based Deep Neural Network for Temporal News Recommendation
Published in Proceedings of 2017 IEEE 17th International Conference on Data Mining Workshops, 2017
Word Semantics based 3D Convolutional Neural Networks for News Recommendation
Published in Proceedings of 2017 IEEE 17th International Conference on Data Mining Workshops, 2017
Leveraging Moderate User Data for News Recommendation
Published in Proceedings of 2017 IEEE 17th International Conference on Data Mining Workshops, 2017
Deep Neural Architecture for News Recommendation
Published in Working Notes of the 8th International Conference of the CLEF Initiative, Dublin, Ireland. CEUR Workshop Proceedings, 2017