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20182024
most citedKeyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings

21 citations · 80 across the 17 of their papers we have counts for

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15 papers · 1 filter

cs.CL2022

Span Classification with Structured Information for Disfluency Detection in Spoken Utterances

Sreyan Ghosh, Sonal Kumar, Yaman Kumar Singla +2

Existing approaches in disfluency detection focus on solving a token-level classification task for identifying and removing disfluencies in text. Moreover, most works focus on leve…

cs.CL20226 cited

LDKP: A Dataset for Identifying Keyphrases from Long Scientific Documents

Debanjan Mahata, Navneet Agarwal, Dibya Gautam +5

Identifying keyphrases (KPs) from text documents is a fundamental task in natural language processing and information retrieval. Vast majority of the benchmark datasets for this ta…

cs.CL20213 cited

AES Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses

Yaman Kumar Singla, Swapnil Parekh, Somesh Singh +3

Deep-learning based Automatic Essay Scoring (AES) systems are being actively used by states and language testing agencies alike to evaluate millions of candidates for life-changing…

cs.CL2021

Perception Point: Identifying Critical Learning Periods in Speech for Bilingual Networks

Anuj Saraswat, Mehar Bhatia, Yaman Kumar Singla +2

Recent studies in speech perception have been closely linked to fields of cognitive psychology, phonology, and phonetics in linguistics. During perceptual attunement, a critical an…

cs.CL2021

MINIMAL: Mining Models for Data Free Universal Adversarial Triggers

Swapnil Parekh, Yaman Singla Kumar, Somesh Singh +3

It is well known that natural language models are vulnerable to adversarial attacks, which are mostly input-specific in nature. Recently, it has been shown that there also exist in…

cs.CL2021

What all do audio transformer models hear? Probing Acoustic Representations for Language Delivery and its Structure

Jui Shah, Yaman Kumar Singla, Changyou Chen +1

In recent times, BERT based transformer models have become an inseparable part of the 'tech stack' of text processing models. Similar progress is being observed in the speech domai…