Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Anil Ramakrishna"'
Autor:
Rahul Sharma, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta
Machine Learning (ML) systems are getting increasingly popular, and drive more and more applications and services in our daily life. This has led to growing concerns over user privacy, since human interaction data typically needs to be transmitted to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea31b418c7f5c35ca48651eafc097958
Publikováno v:
Interspeech
INTERSPEECH
INTERSPEECH
Humor is an important social construct that serves several roles in human communication. Though subjective, it is culturally ubiquitous and is often used to diffuse tension, specially in intense conversations such as those in psychotherapy sessions.
Autor:
Karan Singla, Shrikanth S. Narayanan, Krishna Somandepalli, Victor R. Martinez, Yalda T. Uhls, Anil Ramakrishna
Publikováno v:
AAAI
Violent content in movies can influence viewers’ perception of the society. For example, frequent depictions of certain demographics as perpetrators or victims of abuse can shape stereotyped attitudes. In this work, we propose to characterize aspec
Publikováno v:
INTERSPEECH
Psycholinguistic normatives represent various affective and mental constructs using numeric scores and are used in a variety of applications in natural language processing. They are commonly used at the sentence level, the scores of which are estimat
Crowdsourcing is a popular approach to collect annotations for unlabeled data instances. It involves collecting a large number of annotations from several, often naive untrained annotators for each data instance which are then combined to estimate th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::058e5a262e0a6efcd7ae26a4d3398fd5
Autor:
Shrikanth S. Narayanan, Victor R. Martinez, Anil Ramakrishna, Nikolaos Malandrakis, Dogan Can, Tanner Sorensen
Publikováno v:
Machine Translation. 32:127-142
This paper describes the Situation Frame extraction pipeline developed by team ELISA as a part of the DARPA Low Resource Languages for Emergent Incidents program. Situation Frames are structures describing humanitarian needs, including the type of ne
Publikováno v:
ACII
During the course of a Humanitarian Assistance-Disaster Relief (HADR) crisis, that can happen anywhere in the world, real-time information is often posted online by the people in need of help which, in turn, can be used by different stakeholders invo
Autor:
Karan Singla, Victor Martinez Palacios, Krishna Somandepalli, Nikolaos Malandrakis, Anil Ramakrishna, Shrikanth S. Narayanan
Publikováno v:
ACL (1)
A computer implemented method for analyzing media content includes a step of providing a plurality of narrative files formatted in human readable format. Each narrative file includes a script and/or dialogues tagged with character names along with au
Publikováno v:
INTERSPEECH
Autor:
Tanaya Guha, Ruth B. Grossman, Darren Hedley, Sungbok Lee, Zhaojun Yang, Anil Ramakrishna, Shrikanth S. Narayanan
Publikováno v:
ICASSP
Children with Autism Spectrum Disorder (ASD) are known to have difficulty in producing and perceiving emotional facial expressions. Their expressions are often perceived as atypical by adult observers. This paper focuses on data driven ways to analyz