no code implementations • NAACL (GeBNLP) 2022 • Kartikey Pant, Tanvi Dadu
The GAP dataset is a Wikipedia-based evaluation dataset for gender bias detection in coreference resolution, containing mostly objective sentences.
1 code implementation • WNUT (ACL) 2021 • Tanvi Dadu, Kartikey Pant, Seema Nagar, Ferdous Ahmed Barbhuiya, Kuntal Dey
Text simplification is the process of splitting and rephrasing a sentence to a sequence of sentences making it easier to read and understand while preserving the content and approximating the original meaning.
no code implementations • SEMEVAL 2020 • Tanvi Dadu, Kartikey Pant
We show that our model performs competitively on all five languages, obtaining the fourth position in the English task with an F1-score of 0. 919 and eighth position in the Turkish task with an F1-score of 0. 781.
no code implementations • Asian Chapter of the Association for Computational Linguistics 2020 • Tanvi Dadu, Kartikey Pant
This conversion allows us to utilize the higher resource availability for its constituent languages for multiple downstream tasks.
no code implementations • 7 Jul 2020 • Kartikey Pant, Tanvi Dadu
We show that our model performs competitively on all five languages, obtaining the fourth position in the English task with an F1-score of $0. 919$ and eighth position in the Turkish task with an F1-score of $0. 781$.
no code implementations • WS 2020 • Kartikey Pant, Tanvi Dadu
We show that our proposed architecture performs competitively for both the datasets.
Ranked #1 on Sarcasm Detection on FigLang 2020 Twitter Dataset
no code implementations • 1 Jun 2020 • Tanvi Dadu, Kartikey Pant, Radhika Mamidi
There is a growing interest in understanding how humans initiate and hold conversations.
Ranked #1 on Text Classification on AffCon 2020 Emotion Detection
1 code implementation • 16 Feb 2020 • Tanvi Dadu, Kartikey Pant, Radhika Mamidi
Subjective bias detection is critical for applications like propaganda detection, content recommendation, sentiment analysis, and bias neutralization.
Ranked #1 on Bias Detection on Wiki Neutrality Corpus