Search Results for author: Rakesh Gosangi

Found 13 papers, 3 papers with code

A Preliminary Exploration of GANs for Keyphrase Generation

no code implementations EMNLP 2020 Avinash Swaminathan, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah, Amanda Stent

We observed that our model achieves state-of-the-art performance in the generation of abstractive keyphrases and is comparable to the best performing extractive techniques.

Keyphrase Generation

GupShup: An Annotated Corpus for Abstractive Summarization of Open-Domain Code-Switched Conversations

no code implementations17 Apr 2021 Laiba Mehnaz, Debanjan Mahata, Rakesh Gosangi, Uma Sushmitha Gunturi, Riya Jain, Gauri Gupta, Amardeep Kumar, Isabelle Lee, Anish Acharya, Rajiv Ratn Shah

Towards this objective, we introduce abstractive summarization of Hindi-English code-switched conversations and develop the first code-switched conversation summarization dataset - GupShup, which contains over 6, 831 conversations in Hindi-English and their corresponding human-annotated summaries in English and Hindi-English.

Abstractive Text Summarization

Calibration of chemical sensors in mobile wireless networks

no code implementations17 Jun 2020 Rakesh Gosangi, Harsha Chenji, Radu Stoleru, Ricardo Gutierrez-Osuna

Low-power chemical sensors deployed on mobile platforms make it possible to monitor pollutant concentrations across large urban areas.

An Annotated Dataset of Discourse Modes in Hindi Stories

no code implementations LREC 2020 Swapnil Dhanwal, Hritwik Dutta, Hitesh Nankani, Nilay Shrivastava, Yaman Kumar, Junyi Jessy Li, Debanjan Mahata, Rakesh Gosangi, Haimin Zhang, Rajiv Ratn Shah, Am Stent, a

In this paper, we present a new corpus consisting of sentences from Hindi short stories annotated for five different discourse modes argumentative, narrative, descriptive, dialogic and informative.

#MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movement

no code implementations14 Dec 2019 Akash Gautam, Puneet Mathur, Rakesh Gosangi, Debanjan Mahata, Ramit Sawhney, Rajiv Ratn Shah

In this paper, we present a dataset containing 9, 973 tweets related to the MeToo movement that were manually annotated for five different linguistic aspects: relevance, stance, hate speech, sarcasm, and dialogue acts.

Keyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings

no code implementations19 Oct 2019 Dhruva Sahrawat, Debanjan Mahata, Mayank Kulkarni, Haimin Zhang, Rakesh Gosangi, Amanda Stent, Agniv Sharma, Yaman Kumar, Rajiv Ratn Shah, Roger Zimmermann

In this paper, we formulate keyphrase extraction from scholarly articles as a sequence labeling task solved using a BiLSTM-CRF, where the words in the input text are represented using deep contextualized embeddings.

Keyphrase Extraction Word Embeddings

Keyphrase Generation for Scientific Articles using GANs

1 code implementation24 Sep 2019 Avinash Swaminathan, Raj Kuwar Gupta, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah

In this paper, we present a keyphrase generation approach using conditional Generative Adversarial Networks (GAN).

Keyphrase Generation

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