most citedKeyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings

21 citations · 27 across the 3 of their papers we have counts for

collaborators

5 papers

eess.SP2020

Calibration of chemical sensors in mobile wireless networks

Rakesh Gosangi, Harsha Chenji, Radu Stoleru +1

Low-power chemical sensors deployed on mobile platforms make it possible to monitor pollutant concentrations across large urban areas. However, chemical sensors are prone to drift…

cs.CL2019

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

Akash Gautam, Puneet Mathur, Rakesh Gosangi +3

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, hat…

cs.CL201921 cited

Keyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings

Dhruva Sahrawat, Debanjan Mahata, Mayank Kulkarni +7

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 us…

cs.CL20196 cited

Keyphrase Generation for Scientific Articles using GANs

Avinash Swaminathan, Raj Kuwar Gupta, Haimin Zhang +3

In this paper, we present a keyphrase generation approach using conditional Generative Adversarial Networks (GAN). In our GAN model, the generator outputs a sequence of keyphrases…

cs.CL2019

Dialogue Act Classification in Group Chats with DAG-LSTMs

Ozan İrsoy, Rakesh Gosangi, Haimin Zhang +6

Dialogue act (DA) classification has been studied for the past two decades and has several key applications such as workflow automation and conversation analytics. Researchers have…