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Found 13 papers, 4 papers with code
BdSLW60: A Word-Level Bangla Sign Language Dataset
Sign language discourse is an essential mode of daily communication for the deaf and hard-of-hearing people.
Towards Automated Recipe Genre Classification using Semi-Supervised Learning
Sharing cooking recipes is a great way to exchange culinary ideas and provide instructions for food preparation.
Math Word Problem Solving by Generating Linguistic Variants of Problem Statements
In order to ameliorate this issue, in this paper, we propose a framework for MWP solvers based on the generation of linguistic variants of the problem text.
BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews
The analysis of consumer sentiment, as expressed through reviews, can provide a wealth of insight regarding the quality of a product.
"When Words Fail, Emojis Prevail": Generating Sarcastic Utterances with Emoji Using Valence Reversal and Semantic Incongruity
We divide the generation task into two sub tasks: one for generating textual sarcasm and another for collecting emojis associated with those sarcastic sentences.
Assorted, Archetypal and Annotated Two Million (3A2M) Cooking Recipes Dataset based on Active Learning
In this study, we present a novel dataset of two million culinary recipes labeled in respective categories leveraging the knowledge of food experts and an active learning technique.
DEPTWEET: A Typology for Social Media Texts to Detect Depression Severities
Mental health research through data-driven methods has been hindered by a lack of standard typology and scarcity of adequate data.
Computational Sarcasm Analysis on Social Media: A Systematic Review
Sarcasm can be defined as saying or writing the opposite of what one truly wants to express, usually to insult, irritate, or amuse someone.
Learning Audio Representations with MLPs
In this paper, we propose an efficient MLP-based approach for learning audio representations, namely timestamp and scene-level audio embeddings.
Bangla sign digits recognition using depth information
The existing dataset for Sign Language Recognition (SLR) in Bangla Sign Language (BdSL) is based on RGB images.
VIS-iTrack: Visual Intention through Gaze Tracking using Low-Cost Webcam
From interactive interfaces containing either textual or graphical information, intention to perceive desired information is subjective and strongly connected with eye gaze.
A Case Study on the Independence of Speech Emotion Recognition in Bangla and English Languages using Language-Independent Prosodic Features
We employed three Emotional Speech Sets (ESS), of which the first two were developed by native Bengali speakers in Bangla and English languages separately.
A Deep Learning-based Multimodal Depth-Aware Dynamic Hand Gesture Recognition System
In this paper, we revisit this approach to hand gesture recognition and suggest several improvements.
