Arvind Agarwal

A Deep Generative Framework for Paraphrase Generation

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

Paraphrase generation is an important problem in NLP, especially in question answering, information retrieval, information extraction, conversation systems, to name a few. In this paper, we address the problem of generating paraphrases automatically. Our proposed …

A Deep Generative Framework for Paraphrase Generation

2017 · arXiv (Cornell University)

Paraphrase generation is an important problem in NLP, especially in question answering, information retrieval, information extraction, conversation systems, to name a few. In this paper, we address the problem of generating paraphrases automatically. Our proposed …

Dialogue Act Sequence Labeling Using Hierarchical Encoder With CRF

2018

Dialogue Act recognition associate dialogue acts (i.e., semantic labels) to utterances in a conversation. The problem of associating semantic labels to utterances can be treated as a sequence labeling problem. In this work, we build …

A Practical Dialogue-Act-Driven Conversation Model for Multi-Turn Response Selection

2019

Harshit Kumar, Arvind Agarwal, Sachindra Joshi. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.