79 citations · 447 across the 119 of their papers we have counts for
13 papers · 1 filter
#MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movement
Akash Gautam, Puneet Mathur, Rakesh Gosangi +3
In this paper, we present a dataset containing 9,973 tweets related to the MeToo movement that were manually annotated for five different linguistic aspects: relevance, stance, hat…
Universal EEG Encoder for Learning Diverse Intelligent Tasks
Baani Leen Kaur Jolly, Palash Aggrawal, Surabhi S Nath +3
Brain Computer Interfaces (BCI) have become very popular with Electroencephalography (EEG) being one of the most commonly used signal acquisition techniques. A major challenge in B…
Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions
Osaid Rehman Nasir, Shailesh Kumar Jha, Manraj Singh Grover +3
Powerful generative adversarial networks (GAN) have been developed to automatically synthesize realistic images from text. However, most existing tasks are limited to generating si…
Learning based Methods for Code Runtime Complexity Prediction
Jagriti Sikka, Kushal Satya, Yaman Kumar +3
Predicting the runtime complexity of a programming code is an arduous task. In fact, even for humans, it requires a subtle analysis and comprehensive knowledge of algorithms to pre…
Keyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings
Dhruva Sahrawat, Debanjan Mahata, Mayank Kulkarni +7
In this paper, we formulate keyphrase extraction from scholarly articles as a sequence labeling task solved using a BiLSTM-CRF, where the words in the input text are represented us…
End-to-End Resume Parsing and Finding Candidates for a Job Description using BERT
Vedant Bhatia, Prateek Rawat, Ajit Kumar +1
The ever-increasing number of applications to job positions presents a challenge for employers to find suitable candidates manually. We present an end-to-end solution for ranking c…
BHAAV- A Text Corpus for Emotion Analysis from Hindi Stories
Yaman Kumar, Debanjan Mahata, Sagar Aggarwal +3
In this paper, we introduce the first and largest Hindi text corpus, named BHAAV, which means emotions in Hindi, for analyzing emotions that a writer expresses through his characte…
Keyphrase Generation for Scientific Articles using GANs
Avinash Swaminathan, Raj Kuwar Gupta, Haimin Zhang +3
In this paper, we present a keyphrase generation approach using conditional Generative Adversarial Networks (GAN). In our GAN model, the generator outputs a sequence of keyphrases…
Lipper: Synthesizing Thy Speech using Multi-View Lipreading
Yaman Kumar, Rohit Jain, Khwaja Mohd. Salik +3
Lipreading has a lot of potential applications such as in the domain of surveillance and video conferencing. Despite this, most of the work in building lipreading systems has been…
MobiVSR: A Visual Speech Recognition Solution for Mobile Devices
Nilay Shrivastava, Astitwa Saxena, Yaman Kumar +3
Visual speech recognition (VSR) is the task of recognizing spoken language from video input only, without any audio. VSR has many applications as an assistive technology, especiall…
Suggestion Mining from Online Reviews using ULMFiT
Sarthak Anand, Debanjan Mahata, Kartik Aggarwal +6
In this paper we present our approach and the system description for Sub Task A of SemEval 2019 Task 9: Suggestion Mining from Online Reviews and Forums. Given a sentence, the task…
Identifying Offensive Posts and Targeted Offense from Twitter
Haimin Zhang, Debanjan Mahata, Simra Shahid +5
In this paper we present our approach and the system description for Sub-task A and Sub Task B of SemEval 2019 Task 6: Identifying and Categorizing Offensive Language in Social Med…
Harnessing GANs for Zero-shot Learning of New Classes in Visual Speech Recognition
Yaman Kumar, Dhruva Sahrawat, Shubham Maheshwari +5
Visual Speech Recognition (VSR) is the process of recognizing or interpreting speech by watching the lip movements of the speaker. Recent machine learning based approaches model VS…