7.7k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Harish-Chandra Research InstituteIN27 papers
- International Institute of Information TechnologyIN23 papers
- Homi Bhabha National InstituteIN20 papers
- Indian Institute of Science Education and Research ThiruvananthapuramIN20 papers
- Indian Institute of Science BangaloreIN15 papers
- Indian Institute of Technology HyderabadIN14 papers
- Institute of Physics, BhubaneshwarIN11 papers
- Birla Institute of Technology and Science, PilaniIN10 papers
- National University of SingaporeSG9 papers
- Indian Institute of Technology KanpurIN8 papers
- Université Libre de BruxellesBE8 papers
- Birla Institute of Technology and Science - Hyderabad CampusIN7 papers
13 papers · 2 filters
A Context Aware Approach for Generating Natural Language Attacks
Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi
We study an important task of attacking natural language processing models in a black box setting. We propose an attack strategy that crafts semantically similar adversarial exampl…
Clickbait in Hindi News Media : A Preliminary Study
Vivek Kaushal, Kavita Vemuri
A corpus of Hindi news headlines shared on Twitter was created by collecting tweets of 5 mainstream Hindi news sources for a period of 4 months. 7 independent annotators were recru…
Exploring Pair-Wise NMT for Indian Languages
Kartheek Akella, Sai Himal Allu, Sridhar Suresh Ragupathi +4
In this paper, we address the task of improving pair-wise machine translation for specific low resource Indian languages. Multilingual NMT models have demonstrated a reasonable amo…
Generating Natural Language Attacks in a Hard Label Black Box Setting
Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi
We study an important and challenging task of attacking natural language processing models in a hard label black box setting. We propose a decision-based attack strategy that craft…
Towards Code-switched Classification Exploiting Constituent Language Resources
Tanvi Dadu, Kartikey Pant
Code-switching is a commonly observed communicative phenomenon denoting a shift from one language to another within the same speech exchange. The analysis of code-switched data oft…
Fighting an Infodemic: COVID-19 Fake News Dataset
Parth Patwa, Shivam Sharma, Srinivas Pykl +6
Along with COVID-19 pandemic we are also fighting an `infodemic'. Fake news and rumors are rampant on social media. Believing in rumors can cause significant harm. This is further…
Word Level Language Identification in English Telugu Code Mixed Data
Sunil Gundapu, Radhika Mamidi
In a multilingual or sociolingual configuration Intra-sentential Code Switching (ICS) or Code Mixing (CM) is frequently observed nowadays. In the world, most of the people know mor…
Development of POS tagger for English-Bengali Code-Mixed data
Tathagata Raha, Sainik Kumar Mahata, Dipankar Das +1
Code-mixed texts are widespread nowadays due to the advent of social media. Since these texts combine two languages to formulate a sentence, it gives rise to various research probl…
Cross-lingual Inductive Transfer to Detect Offensive Language
Kartikey Pant, Tanvi Dadu
With the growing use of social media and its availability, many instances of the use of offensive language have been observed across multiple languages and domains. This phenomenon…
EPIE Dataset: A Corpus For Possible Idiomatic Expressions
Prateek Saxena, Soma Paul
Idiomatic expressions have always been a bottleneck for language comprehension and natural language understanding, specifically for tasks like Machine Translation(MT). MT systems p…
ConfNet2Seq: Full Length Answer Generation from Spoken Questions
Vaishali Pal, Manish Shrivastava, Laurent Besacier
Conversational and task-oriented dialogue systems aim to interact with the user using natural responses through multi-modal interfaces, such as text or speech. These desired respon…
BERT-based Ensembles for Modeling Disclosure and Support in Conversational Social Media Text
Tanvi Dadu, Kartikey Pant, Radhika Mamidi
There is a growing interest in understanding how humans initiate and hold conversations. The affective understanding of conversations focuses on the problem of how speakers use emo…
Towards Detection of Subjective Bias using Contextualized Word Embeddings
Tanvi Dadu, Kartikey Pant, Radhika Mamidi
Subjective bias detection is critical for applications like propaganda detection, content recommendation, sentiment analysis, and bias neutralization. This bias is introduced in na…