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20182026
most citedKeyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings

21 citations · 122 across the 44 of their papers we have counts for

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Showing 2019Show all

8 papers · 1 filter

cs.LG2019

Learning based Methods for Code Runtime Complexity Prediction

Jagriti Sikka, Kushal Satya, Yaman Kumar +3

Predicting the runtime complexity of a programming code is an arduous task. In fact, even for humans, it requires a subtle analysis and comprehensive knowledge of algorithms to pre…

cs.CL2019★ 21 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.CL2019★ 10 cited

BHAAV- A Text Corpus for Emotion Analysis from Hindi Stories

Yaman Kumar, Debanjan Mahata, Sagar Aggarwal +3

In this paper, we introduce the first and largest Hindi text corpus, named BHAAV, which means emotions in Hindi, for analyzing emotions that a writer expresses through his characte…

eess.AS2019

Lipper: Synthesizing Thy Speech using Multi-View Lipreading

Yaman Kumar, Rohit Jain, Khwaja Mohd. Salik +3

Lipreading has a lot of potential applications such as in the domain of surveillance and video conferencing. Despite this, most of the work in building lipreading systems has been…

cs.CL2019★ 2 cited

MobiVSR: A Visual Speech Recognition Solution for Mobile Devices

Nilay Shrivastava, Astitwa Saxena, Yaman Kumar +3

Visual speech recognition (VSR) is the task of recognizing spoken language from video input only, without any audio. VSR has many applications as an assistive technology, especiall…

cs.CL2019★ 5 cited

Suggestion Mining from Online Reviews using ULMFiT

Sarthak Anand, Debanjan Mahata, Kartik Aggarwal +6

In this paper we present our approach and the system description for Sub Task A of SemEval 2019 Task 9: Suggestion Mining from Online Reviews and Forums. Given a sentence, the task…