I just passed [login to view URL] with a Machine learning specialization from DAIICT, Gandhinagar. Currently, I am a member of the IRNLP lab at DAIICT and Junior Research Fellow (JRF) in a project MHRD sponsored project with a joint consortium of IIT Kharagpur, IIT Bombay, IIT Patna, DA-IICT and AU-KBC. I also published a paper, "Query specific graph-based query reformulation using UMLS for clinical information access" in the Journal of Biomedical Informatics. Recently I got 3rd rank in shared task on offensive language identification in Dravidian languages in DravidianLangTech@EACL2021 and 2nd rank in shared task on hope speech detection for equality, Diversity, and Inclusion. I am one of the organizers of the shared task on event detection from news in Indian languages (EDNIL) @ FIRE2020. Also I am organizer of Forum for Information Retrieval Evaluation (FIRE).
Dhirubhai Ambani Institute of Information and Communication Technology
elok. 2019 - Voimassa
A platform for Cross-lingual and Multilingual Event Monitoring in Indian Languages.
The project aims to build a cross-lingual, multi-lingual, multi-source and multi-domain platform for information extraction (IE) in Indian languages (ILs) to extract and classify events of interest from news media and to demonstrate the application in a few domains. This project is subpart of the project named “Imprint” which is funded by MHRD (Ministry of Human Resource and Development)
tammik. 2017 - heinäk. 2018 (1 , 6 kuukautta)
I use PHP codigneter framework in back end.I am very well in it now.
M.tech in ICT with Machine Learning Specialization
Dhirubhai Ambani Institute of Information and Communication Technology,
India 2018 - 2020
B.tech Information Tecnology
Dharmsinh Desai Institute of Technology,
India 2013 - 2017
IRNLP_DAIICT@DravidianLangTech-EACL2021:Offensive Language identification in Dravidian Languages
This paper presents the participation of the IRNLPDAIICT team from the Information Retrieval and Natural Language Processing lab at DA-IICT, India in DravidianLangTech-EACL2021 Offensive Language identification in Dravidian Languages.
Overview of the FIRE 2020 EDNIL track: Event Detection from News in Indian Languages
The goal of FIRE 2020 EDNIL track was to create a framework which could be used to detect events from news articles in English, Hindi, Bengali, Marathi and Tamil. The track consisted of two tasks:(i) Identifying a piece of text from news articles that contains an event (Event Identification).(ii) Creating an event frame from the news article (Event Frame Extraction).
IRNLP_DAIICT@LT-EDI-EACL2021: Hope Speech detection in Code Mixed text using TF-IDF & MuRIL
This paper presents the participation of the IRNLP_DAIICT team from the Information Retrieval and Natural Language Processing lab at DA-IICT, India in LT-EDI@EACL2021 Hope Speech Detection task.
FIRE 2020 EDNIL Track: Event Detection from News in Indian Languages
FIRE 2020: Forum for Information Retrieval Evaluation
The goal of the FIRE 2020 EDNIL track was to create a framework that could be used to detect events from news articles in English, Hindi, Bengali, Marathi, and Tamil. The track consisted of two tasks: (I) Identifying a piece of text from news articles that contain an event(Event Identification). (ii) Creating an event frame from the news article (Event Frame Extraction). The events that were identified in the Event Identification task were Man-made Disasters and Natural disasters.
Query specific graph-based query reformulation using UMLS for clinical information access
Journal of Biomedical Informatics
This paper explores the usage and impact of UMLS for entity-based query reformulation in biomedical document retrieval. A novel graph-based approach for query reformulation using UMLS is described herein which queries are expanded using biomedical entities. The proposed method considers UMLS entities from a query with their related entities identified by UMLS and constructs a query-specific graph of biomedical entities for term selection.
Ota yhteyttä käyttäjään Bhargav D. työhösi liittyen
Kirjaudu sisään keskustellaksesi yksityiskohdista chatin välityksellä.