Specialization :   Artificial Intelligence, NLP and Information Retrieval

Natural language processing (NLP) is a field of computer science, artificial intelligence and computational linguistics concerned with the interactions between computers and human (natural) languages, and, in particular, concerned with programming computers to fruitfully process large natural language corpora. Challenges in natural language processing frequently involve natural language understanding, natural language generation (frequently from formal, machine-readable logical forms), connecting language and machine perception, dialog systems, or some combination thereof.
Information Retrieval (IR) is finding material (usually documents) of an unstructured nature (usually text) that satisfies an information need from within large collections (usually stored on computers). The application in this field focuses on searching and retrieving (mainly textual) information from desktop, web, mobile sources.

Sub Areas:
Artificial Intelligence (AI)
Natural Language Processing (NLP)
Information Retrieval

Recent Publications:

  • Dinesh Kumar Prabhakar and Sukomal Pal, A Survey on Transliterated Text Processing, Sadhana-Academy Proceedings in Engineering Science, (Online version available).
  • R. Soni and Sukomal Pal, Gold Standard Creation for Microblog Retrieval: Challenges of Completeness in IRMiDis 2017, Companion of the Web Conference 2018 on The Web Conference 2018, 1639-1642.
  • A Kanapala, Sukomal Pal, R Pamula, Design of a meta search system for legal domain, Advanced Computing and Communication Systems (ICACCS), 2017.
  •  A Kanapala, Sukomal Pal, R Pamula, Text summarization from legal documents: a survey, Artificial Intelligence Review (2017). https://doi.org/10.1007/s10462-017-9566-2, pp 1-32
  • R. Soni and Sukomal Pal, Microblog Retrieval for Disaster Relief: How To Create Ground Truths?, SMERP@ ECIR, pp. 42-51.
  • H. Mehrotra, R. Soni, Sukomal Pal, IIT BHU at FIRE 2017 IRMiDis Track-Fully Automatic Approaches to Information Retrieval., FIRE (Working Notes), pp. 59-60.
  •  R. Soni, Sukomal Pal, IIT BHU at FIRE 2016 Microblog Track: A Semi-automatic Microblog Retrieval System., FIRE (Working Notes), pp. 74-75
  • M. Chakraborty, Sukomal Pal, R. Pramanik, C. R. Chowdary, Recent developments in social spam detection and combating techniques: A survey, Information Processing & Management52 (6), pp.1053-1073.
  • M. Niyogi, Sukomal Pal, IR-IITBHU at TREC 2016 Open Search Track: Retrieving documents using Divergence From Randomness model in Terrier, TREC.
  • J. Kumar, S. S. Prasad, Sukomal Pal, IRISM@ NTCIR-12 Temporalia Task: Experiments with MaxEnt, Naive Bayes and Decision Tree Classifiers., NTCIR.
  • SS Prasad, J Kumar, DK Prabhakar, Sukomal Pal, Sentiment classification: An approach for Indian language tweets using decision tree, International Conference on Mining Intelligence and Knowledge Exploration.
  • R Pramanik, Sukomal Pal, M Chakraborty, What the user does not want?: query reformulation through term inclusion-exclusion, Proceedings of the Second ACM IKDD Conference on Data Sciences, pp. 116-117.
  • DK Prabhakar, Sukomal Pal, ISM@ FIRE-2015: Mixed Script Information Retrieval., FIRE Workshops, pp.55-58.
  • DK Prabhakar, S Dubey, B Goel, Sukomal Pal, ISM@ FIRE-2014: Named Entity Recognition for Indian Languages, Proceedings of the Forum for Information Retrieval Evaluation, pp. 98-102.
  • A Kanapala, Sukomal Pal, Test collection for legal ir from online discussion forums, Proceedings of the Forum for Information Retrieval Evaluation, pp. 126-129.
  • P Yadav, Sukomal Pal, R Kumar, S Singh, H Singh, Popular Acronym Retrieval through Text Messaging, Proceedings of the Forum for Information Retrieval Evaluation, pp. 142-145.
  • R. Kumar, Sukomal Pal, Social Book Search Track: ISM@ INEX'14 Suggestion Task, CLEF (Working Notes), pp. 521-524.
  • D Yadav, CR Chowdary, “OOIMASP: Origin based association rule mining with order independent mostly associated sequential patterns” Expert Systems with Applications 93 (C), 62-71, 2018.
  • Dinesh Kumar Prabhakar, Sukomal Pal : “A Survey on Transliterated Text Processing”, Sadhana - Academy Proceedings in Engineering Science, (Online version available).
  • Ambedkar Kanapala, Sukomal Pal, Rajendra Pamula: “Summarization and Information Access in Legal Domain: A Survey”, Artificial Intelligence Review, DOI 10.1007/s10462-017-9566-2, 2017 (online version published June 2017).
  • International Conference on Natural Language Processing (ICON-2017). Kolkata, India. 14th and Anil Kumar Singh. Proceedings of the Sudhakar AkhileshNeural Morphological Disambiguation Using Surface and Contextual Morphological Awareness. December, 2017.
  • Multilingual Akshar Based Transducer for South and South East Asian Languages which Use Indic Scripts. Anil Kumar Singh and Harshit Surana. In Proceedings of the Seventh International Symposium on Natural Language Processing. Pattaya, Thailand. 2007.
  • Manu Agrawal, Kartik Manchanda, Ribhav Soni, Anurag Lal, C. Ravindranath Chowdary, “Parallel Implementation of Local Similarity Search for Unstructured Text using Prefix Filtering”, Proceedings of the 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), Taiwan, IEEE 2017.
  • Sukomal Pal, Mandar Mitra, Jaap Kamps: Evaluating the INEX Focused Task Evaluation Process, Journal of the American Society for Information Science and Technology.
  • Manu Agrawal, Kartik Manchanda, Ribhav Soni, Anurag Lal, C. Ravindranath Chowdary, “Parallel Implementation of Local Similarity Search for Unstructured Text using Prefix Filtering”, Proceedings of the 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), Taiwan, IEEE 2017
  • Vivek Sourabh, Parth Pahariya, Isha Agarwal, Ankit Gautam, C. Ravindranath Chowdary, “Parallel Implementation of Dynamic Programming Problems using Wavefront and Rank Convergence with Full Resource Utilization”, Proceedings of the 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), Taiwan, IEEE 2017

Faculty: