Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Devang Kulshreshtha"'
Autor:
Devang Kulshreshtha, Muhammad Shayan, Robert Belfer, Siva Reddy, Iulian Vlad Serban, Ekaterina Kochmar
Existing work on generating hints in Intelligent Tutoring Systems (ITS) focuses mostly on manual and non-personalized feedback. In this work, we explore automatically generated questions as personalized feedback in an ITS. Our personalized feedback c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81c11c4b499b52e0a77230a65fa4ac64
https://doi.org/10.3233/faia220062
https://doi.org/10.3233/faia220062
Publikováno v:
SemEval@NAACL-HLT
This paper describes our participation in SemEval 2018 Task 3 on Irony Detection in Tweets. We combine linguistic features with pre-trained activations of a neural network. The CNN is trained on the emoji prediction task. We combine the two feature s
Automated digital mammogram segmentation using Dispersed Region Growing and Sliding Window Algorithm
Autor:
Vibhav Prakash Singh, Arpit Chaudhary, Rajeev Srivastava, Ayush Shrivastava, Devang Kulshreshtha
Publikováno v:
2017 2nd International Conference on Image, Vision and Computing (ICIVC).
Early diagnosis of breast cancer can improve the survival rate by detecting cancer at an early stage. Breast region segmentation is an essential step in the analysis of digital mammograms. Accurate image segmentation leads to better detection of canc
Autor:
Ayush Shrivastava, Devang Kulshreshtha, Rajeev Srivastava, Vibhav Prakash Singh, Arpit Chaudhary
Publikováno v:
2017 2nd International Conference on Image, Vision and Computing (ICIVC).
Early diagnosis of breast cancer can improve the survival rate by detecting cancer at initial stage. In this paper, an efficient computer-based mammogram retrieval system is proposed, which helps in early diagnosis of breast cancer by comparing the c
Publikováno v:
WASSA@EMNLP
The paper describes the best performing system for EmoInt - a shared task to pre- dict the intensity of emotions in tweets. Intensity is a real valued score, between 0 and 1. The emotions are classified as - anger, fear, joy and sadness. We ap- ply t