Search Results for author:
Found 15 papers, 5 papers with code
Infrrd.ai at SemEval-2022 Task 11: A system for named entity recognition using data augmentation, transformer-based sequence labeling model, and EnsembleCRF
The proposed method shows that the ensemble of models with a multilingual language model as the base with the help of an encoder performs better than a single language-specific model.
NLP@NISER: Classification of COVID19 tweets containing symptoms
In this paper, we describe our approaches for task six of Social Media Mining for Health Applications (SMM4H) shared task in 2021.
Guided Conditional Diffusion Classifier (ConDiff) for Enhanced Prediction of Infection in Diabetic Foot Ulcers
To detect infected wounds in Diabetic Foot Ulcers (DFUs) from photographs, preventing severe complications and amputations.
Watch Your Language: Investigating Content Moderation with Large Language Models
In this work, we evaluate a suite of commodity LLMs on two common content moderation tasks: rule-based community moderation and toxic content detection.
Specious Sites: Tracking the Spread and Sway of Spurious News Stories at Scale
Misinformation, propaganda, and outright lies proliferate on the web, with some narratives having dangerous real-world consequences on public health, elections, and individual safety.
Linear programming word problems formulation using EnsembleCRF NER labeler and T5 text generator with data augmentations
We propose the ensembleCRF method to identify the named entities for the first task.
Dict-NMT: Bilingual Dictionary based NMT for Extremely Low Resource Languages
In this paper, we explore methods using bilingual dictionaries with an NMT model to improve translations for extremely low resource languages.
Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks
Societal biases are reflected in large pre-trained language models and their fine-tuned versions on downstream tasks.
Happenstance: Utilizing Semantic Search to Track Russian State Media Narratives about the Russo-Ukrainian War On Reddit
In the buildup to and in the weeks following the Russian Federation's invasion of Ukraine, Russian state media outlets output torrents of misleading and outright false information.
OCR Synthetic Benchmark Dataset for Indic Languages
We present the largest publicly available synthetic OCR benchmark dataset for Indic languages.
Interior and boundary regularity results for strongly nonhomogeneous $p,q$-fractional problems
We establish completely new H\"older continuity results, up to the boundary, for the weak solutions to fractional $(p, q)$-problems involving singular as well as regular nonlinearities.
Analysis of PDEs
QUARC: Quaternion Multi-Modal Fusion Architecture For Hate Speech Classification
Models based on a particular modality of hate speech post on social media are not useful, rather, we need models like multi-modal fusion models that consider both image and text while classifying hate speech.
Lambda Learner: Fast Incremental Learning on Data Streams
One of the most well-established applications of machine learning is in deciding what content to show website visitors.
Quadratically constrained quadratic programming for classification using particle swarms and applications
The approach of particle swarms is an example for interior point methods in optimization as an iterative technique.
