Amit image
Amit Kumar
Doctoral Researcher
Team HULTECH, GREYC - CNRS UMR 6072
Bat F Office-316
Université de Caen Normandie
Department of Computer Science
Campus Côte de Nacre
F-14032 Caen Cedex, France
amit.kumar@unicaen.fr
amitiitp14@gmail.com
+33 2 31 56 73 98

About

Hello, I am the third year PhD student at GREYC lab, Université de Caen (France), under the supervision of Prof. Marc Spaniol. I am the part of HULTECH team. My main research interests are Natural Language Processing (NLP), Web Science and Information Retrieval. Currently, I am exploiting entity-level analytics for the semantic contextualization of the Web contents.

Broad Research Interests: NLP, Web Science, Information Retrieval
Current/Specific Interests: Entity-level Analytics, Semantic Analysis of Documents

Recent Activities and News

Publications


Semantic Tagging Pipeline

Semantic Tagging via Entity-level Analytics: Assessment of Concise Content Tagging

SEMANTIC TAGGING VIA ENTITY LEVEL ANNOTATION.

A. Kumar,M.Spaniol. (TPDL 2021).


AnnoTag Pipeline

AnnoTag: Concise Content Annotation via LOD-Tags derived from Entity-level Analytics

GENEARTING SEMANTIC LOD-Tags FOR DOCUMENTS.

A. Kumar,M.Spaniol. (TPDL 2021)[Online Interface].


SEMANNOREX Pipeline

Semantic Search via Entity-Types: The SEMANNOREX Framework

SEMANTICALLY ENRICHED ACCESS TO WEB DOCUMENTS.

A. Kumar, Govind,M.Spaniol. (WWW 2021) [Link, Online Interface].


PURE Pipeline

Blogger or President? Exploitation of Patterns in Entity Type Graphs for Representative Entity Type Classification

EXPLOIT STRUCTURAL PATTERNS FOR NAMED ENTITIES.

A. Kumar, Govind, C. Alec, M.Spaniol. (WebSci 2020) [Link].


Calvados Pipeline

Towards a better Contextualization of Web Contents via Entity-level Analytics

SEMANTIC CONTEXTUALIZATION OF WEB CONTENTS USING ENTITY-LEVEL ANALYTICS.

A. Kumar (ECIR 2020) [Link].



Calvados Usecase

CALVADOS: A Tool for the Semantic Analysis and Digestion of Web Contents

SEMANTIC ANALYSIS OF DOCUMENT USING ENTITY-LEVEL ANALYTICS.

Govind, A. Kumar, C. Alec, M.Spaniol. (ESWC 2019) [Link, Online Interface].



Feature Selection

Feature Selection using Multiobjective Optimization for Aspect based Sentiment Analysis

MULTI-OBJECTIVE OPTIMIZATION, DISTRIBUTIONAL THESAURUS AND UNSUPERVISED LEXICAL INDUCTION FOR ABSA.

S. Akhtar, S. Kohail, A. Kumar, A. Ekbal, C. Biemann. (NLDB 2017) [Link].



Master Thesis

Multiobjective Optimization for Aspect Based Sentiment Analysis

MASTER THESIS (2016), INDIAN INSTITUTE OF TECHNOLOGY PATNA (IIT PATNA)

A. Kumar [Link].



Sem Eval 2016

IIT-TUDA at SemEval-2016 Task 5: Beyond Sentiment Lexicon: Combining Domain Dependency and Distributional Semantics Features for Aspect Based Sentiment Analysis

DOMAIN DEPENDENCY GRAPH FEATURES, DISTRIBUTIONAL THESAURUS AND UNSUPERVISED LEXICAL INDUCTION FOR ABSA.

A. Kumar, S. Kohail, A. Kumar, A. Ekbal, C. Biemann. (SemEval 2016) [Link].


Education and Professional Experience

  • Université de Caen Normandie (Unicaen), France
    PhD, Computer Science, Oct 2018 – Present
    Thesis : Explication and Verification of Web Contents by Semantic Aggregation with LOD
    Advisor: Prof. Marc Spaniol
  • Indian Institute of Technology Patna (IIT), India
    Master of Technology, Mathematics and Computing, July 2014-May 2016, Chairman’s Gold Medalist, Institute Silver Medalist
    Thesis : Multiobjective Optimization for Aspect Based Sentiment Analysis
    Advisors: Asif Ekbal and Chris Biemann
  • Technische Universität Darmstadt (TU), Germany
    Masters, September 2014 - March 2016
  • West Bengal University of Technology (WBUT), India
    Bachelor of Technology (B.Tech.), Information Technology, August 2009 - May 2013

Awards and Recognitions

  • Paper IIT-TUDA at SemEval-2016 Task 5: Beyond Sentiment Lexicon: Combining Domain Dependency and Distributional Semantics Features for Aspect Based Sentiment Analysis selected for best of SemEval session 2016.
  • Awarded Chairman’s Gold Medal for 1st rank among all postgraduate students at IIT Patna, India.
  • Awarded Institute Silver Medal for outstanding performance in M.Tech (Masters) at IIT Patna, India.
  • Awarded DAAD fellowship for collobrative project between IIT Patna, India and Technische Universität Darmstadt, Germany (DAAD-IIT Master sandwich program 2015).
  • Postgraduate (MHRD) scholarship for Master studies at IIT Patna, India (GATE 2014).
  • Successfully qualified the University Grant Commission - National Eligiblity Test (UGC-NET) for the lectureship
  • Secured 99.68 and 99.46 percentile in Graduate Aptitude Test Engineering (GATE) examination in 2013 and 2014 respectively.
  • District topper in 8th board examination.

Teaching

  • Supervised Thesis: Anatole Aze (Masters M2 (UNICAEN) (Ongoing), 2021 )
  • M.MIM1MD: Knowledge Acquisition (For First Year Masters M2 (UNICAEN), 2021)
  • M.INF7G2: Ingénierie des Langues (Language Engineering) (For First Year Masters M2 (UNICAEN), 2020)
  • M.MIN2MB: Web Analytique (Introduction to Web Analytics) (For 2nd Year Masters M2 (UNICAEN), 2019, 2020)
  • M.INF2MD: Moteurs de Recherche (Introduction to Search Engines) (For 2nd Year Masters M2 (UNICAEN), 2018, 2020)