Dr. Partha Pakray

Dr. Partha Pakray
National Institute of Technology, Silchar | NIT Silchar · Department of Computer Science and Engineering

Assistant Professor NIT Silchar Visiting Research Fellow at Universität Bremen, Germany under DAAD-DST, Reserch Intern (XRCE, France), PhD (India), Post Doc (NTNU. Norway), Post Doc (Masaryk University, Czech Republic))

About

184
Publications
165,182
Reads
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733
Citations
Introduction
I am working as Assistant Professor in the Department of Computer Science & Engineering at National Institute of Technology (NIT) Silchar. I also served as Assistant Professor in the Department of Computer Science & Engineering at National Institute of Technology (NIT) Mizoram during 2015-2018. I worked as a Post Doc Fellow in Masaryk University, Czech Republic and Norwegian University of Science & Technology (NTNU), Norway. I worked in Xerox Research Centre Europe (XRCE), France.
Additional affiliations
August 2018 - present
National Institute of Technology, Silchar
Position
  • Professor (Assistant)
January 2015 - August 2018
National Institute of Technology, Mizoram
Position
  • Head of Department
October 2014 - January 2015
Masaryk University
Position
  • Researcher & Post Doc Fellow
Education
November 2008 - May 2013
Jadavpur University
Field of study
  • Computer Science & Engineering
June 2005 - June 2007
Jadavpur University
Field of study
  • Computer Science & Engineerinh

Publications

Publications (184)
Chapter
Building an automatic system to solve Math word problem is very interesting in AI domain. From last four decades Math word problem takes more attention of the researchers. Automatic system of math word problem can increase the effectiveness of e-learning system which is often used in current days. Many research claimed promising result but most of...
Chapter
With the massive growth of blogs, news stories, and reports, extracting useful information from such a large quantity of textual documents has become a difficult task. Automatic text summarization is an excellent approach for summarising these documents. Text summarization aims to condense large documents into concise summaries while preserving ess...
Chapter
Ontology refers to relationship-based hierarchical descriptions of concepts within a particular domain. Ontology, in the field of medicine, describes the concepts of medical terminologies and the relation between them, thus, enabling the sharing of medical knowledge. This paper aims to develop an ontology-based healthcare hierarchy and point out th...
Chapter
Intelligent chatbot systems are popular applications in the fields of robotic and natural language processing. Nowadays, the strain on medical advisors encourages the use of healthcare chatbots to provide meditations and suggestions. In this paper, we have presented a dataset and a healthcare chatbot developed on the RASA framework that uses the NL...
Conference Paper
In recent times, the extraction of semantic relation has become extremely useful for the tasks of information retrieval, question answering, decision making, and event prediction. There are a number of relationships such as cause-effect, if-then, part-whole, and etc., that express essential information about how different events or entities are ant...
Article
The mathematical formula is one of the most vital components in a scientific document, which can explicitly describe various complex concepts and ideas. In addition to numerical calculations, they are also used to clarify definitions and disambiguate explanations transcribed in natural language. Nevertheless, the formulas have a noteworthy impact i...
Chapter
Recent few years have witnessed a huge surge in the scientific documents on the Web, and consequently, the systems capable of retrieving mathematical information from such documents have also come into being. All the existing systems adopt a suitable strategy to handle a particular challenge of mathematical information retrieval (MIR). However, it...
Article
Part-of-speech (POS) tagging is one of the research challenging fields in natural language processing (NLP). It requires good knowledge of a particular language with large amounts of data or corpora for feature engineering, which can lead to achieving a good performance of the tagger. Our main contribution in this research work is the designed Khas...
Article
Full-text available
Realizing the significance of precise detection of hemoglobin concentrations towards early diagnosis of several diseases, the present work addresses design and analysis of hemoglobin sensor based on the defective 1D photonic crystal (PhC). The alternating layers of Si and SiO2 are used to design the proposed PhC with a central defect layer infiltra...
Conference Paper
Gender prejudice exists in all aspects of life, including schools, colleges, corporations, and government agencies. As a result, women are underrepresented in a variety of professions. In many cases, Artificial Intelligence (AI) and Natural Language Processing (NLP) models learning from these underrepresented real-world datasets amplify the bias, r...
Conference Paper
Abstractive Text Summarization is a burgeoning natural language processing task that has seen success with the Transformer model. With the soaring amassment of unstructured text data, text summarization has found applications in many domains such as law, medicine and news. The growth in research interest in developing better summarization systems,...
Article
In the scientific field, mathematical formulae are a significant factor in communicating the ideas and the fundamental principles of any scientific knowledge. Nowadays, the scientific research community generates a huge number of documents that comprise both textual and mathematical formulae. For the retrieval of textual information, numerous retri...
Article
Language translation is essential to bring the world closer and plays a significant part in building a community among people of different linguistic backgrounds. Machine translation dramatically helps in removing the language barrier and allows easier communication among linguistically diverse communities. Due to the unavailability of resources, m...
Article
Full-text available
Part of speech (POS) tagging assigns a class or tag to each token in a sentence. The tag allocated to a word is mainly its part of speech or any other class of interest. Several applications of Natural Language Processing (NLP) require it as a prerequisite. The development of part-of-speech tagging for the under-resourced Mizo language is presented...
Article
Detecting entailment relationship between two sentences has profoundly impacted several different application areas of Natural Language Processing (NLP). Though recognizing textual entailment (TE) is amongst the widely studied problems, the research on detecting entailment between pieces of scientific texts is still in its infancy. To this end the...
Article
Full-text available
Khasi is a language that belongs to the Mon-Khmer language of the Austroasiatic group. Khasi language is spoken by the indigenous people of the state of Meghalaya in India. This paper presents a work on Part-of-speech (POS) tagging for the Khasi language by using the Conditional Random Field (CRF) method. The main significance of this work, is to e...
Conference Paper
Full-text available
The neural machine translation approach has gained popularity in machine translation because of its context analysing ability and its handling of long-term dependency issues. We have participated in the WMT21 shared task of similar language translation on a Tamil-Telugu pair with the team name: CNLP-NITS. In this task, we utilized monolingual data...
Article
Full-text available
The proposed work is focused on establishing an interpretable Semantic Textual Similarity (iSTS) method for a pair of sentences, which can clarify why two sentences are completely or partially similar or have some variations. This proposed interpretable approach is a pipeline of five modules that begins with the pre-processing and chunking of text....
Conference Paper
Full-text available
In machine translation, corpus preparation is one of the crucial tasks, particularly for low resource pairs. In multilingual countries like India, machine translation plays a vital role in communication among people with vari ous linguistic backgrounds. There are avail able online automatic translation systems by Google and Microsoft which include...
Conference Paper
Full-text available
Machine translation performs automatic translation from one natural language to another. Neural machine translation attains a state-of-the-art approach in machine translation, but it requires adequate training data, which is a severe problem for low-resource language pairs translation. The concept of multimodal is introduced in neural machine trans...
Article
Full-text available
As the world is progressing faster, to compete with the demand, the need for proficient computing technology has increased, resulting in huge volumes of data. Consequently, the extraction of relevant information from such a massive volume of data in a short time becomes challenging. Hence, automatic text summarization (TS) has emerged as an efficie...
Conference Paper
Full-text available
The huge influx of published papers in the field of machine learning makes the task of summarization of scholarly documents vital, not just to eliminate the redundancy but also to provide a complete and satisfying crux of the content. We participated in LongSumm 2021: The 2nd Shared Task on Generating Long Summaries for scientific documents, where...
Article
Retrieval of mathematical information from scientific documents is one of the crucial tasks. Numerous Mathematical Information Retrieval (MIR) systems have been developed, which mainly focus on the improvement over the indexing and the searching mechanism, the poor results obtained for evaluation measures depict major limitations of such systems. T...
Chapter
Full-text available
In today’s world where all the information is available at our fingertips, it is becoming more and more difficult to retrieve vital information from large documents without reading the whole text. Large textual documents require a great deal of time and energy to understand and extract the key components from the text. In such a case, summarized ve...
Article
Machine Translation is an effort to bridge language barriers and misinterpretations, making communication more convenient through the automatic translation of languages. The quality of translations produced by corpus-based approaches predominantly depends on the availability of a large parallel corpus. Although machine translation of many Indian la...
Preprint
Full-text available
The task of efficient automatic music classification is of vital importance and forms the basis for various advanced applications of AI in the musical domain. Musical instrument recognition is the task of instrument identification by virtue of its audio. This audio, also termed as the sound vibrations are leveraged by the model to match with the in...
Article
Full-text available
The task of efficient automatic music classification is of vital importance and forms the basis for various advanced applications of AI in the musical domain. Musical instrument recognition is the task of instrument identification by virtue of its audio. This audio, also termed as the sound vibrations are leveraged by the model to match with the in...
Chapter
Dadure, PankajPakray, ParthaBandyopadhyay, SivajiMathematical information retrieval is a comparatively early stage of research, lying at the interaction of a text-based retrieval approach and mathematical knowledge management. There are a wide variety of approaches have been developed to cope-up with the challenge of formula representation, indexin...
Chapter
Warjri, SunitaPakray, ParthaLyngdoh, SaralinMaji, Arnab KumarThe main purpose of this paper is to develop part-of-speech (PoS) tagging for the Khasi language based on conditional random field (CRF) approaches. Khasi belongs to a Mon–Khmer language of the Austroasiatic language family that is spoken by the native people of the state Meghalaya, North...
Chapter
Full-text available
Laskar, Sahinur RahmanPakray, ParthaBandyopadhyay, SivajiNeural machine translation (NMT) attracts attention to the machine translation (MT) community because of its potential to persist sequential data over variable lengths of input and output sentences. With the attention mechanism, the NMT system achieves state-of-the-art technique which allows...
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Full-text available
Laskar, Sahinur RahmanPakray, ParthaBandyopadhyay, SivajiNeural machine translation (NMT) is a state-of-the-art technique in the task of machine translation (MT), where a source-language text is converted into a target language text while preserving its meaning. NMT attracts attention because it handles sequence to sequence learning problems for va...
Article
In this paper, we proposed a novel approach to improve the performance of multiple choice question answering (MCQA) system using distributed semantic similarity and classification approach. We mainly focus on science-based MCQ which is really difficult to handle. Our proposed method is based on the hypothesis that the relation between question and...
Chapter
Learning different subjects to enhance knowledge of students and children, reading habit plays an important role. Students often face problems or reading difficulties are aroused when the students are non-native English learners or suffering from dyslexia. Thus, in the present work, we have built a hybrid sequential model for text simplification (i...
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Full-text available
In today’s world where an individual is becoming more and more busy and independent, the use of recommendation-based systems is steadily increasing. Thus, making available professional knowledge to the common man in a short-span quite necessary. The aim of our recipe recommendation system is to recommend recipes to users based on their questions. T...
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The continuous growth in the development of interactive technologies has lighted up the game-based learning applications. The game-based learning applications motivate the students to enhance their knowledge and improve the overall student learning experience. Learning with fun and entertainment is the prime aspect of any interactive platform. The...
Chapter
Mathematical formulas are widely used to express ideas and fundamental principles of science, technology, engineering, and mathematics. The rapidly growing research in science and engineering leads to a generation of a huge number of scientific documents which contain both textual as well as mathematical terms. In a scientific document, the sense o...
Preprint
Full-text available
Neural machine translation (NMT) is a widely accepted approach in the machine translation (MT) community, translating from one natural language to another natural language. Although , NMT shows remarkable performance in both high and low resource languages, it needs sufficient training corpus. The availability of a parallel corpus in low resource l...
Conference Paper
Full-text available
Neural machine translation (NMT) is a widely accepted approach in the machine translation (MT) community, translating from one natural language to another natural language. Although , NMT shows remarkable performance in both high and low resource languages, it needs sufficient training corpus. The availability of a parallel corpus in low resource l...
Conference Paper
Full-text available
Machine translation (MT) focuses on the automatic translation of text from one natural language to another natural language. Neural machine translation (NMT) achieves state-of-the-art results in the task of machine translation because of utilizing advanced deep learning techniques and handles issues like long-term dependency, and context-analysis....
Conference Paper
Full-text available
The corpus preparation is one of the important challenging task for the domain of machine translation especially in low resource language scenarios. Country like India where multiple languages exists, machine translation attempts to minimize the communication gap among people with different linguistic backgrounds. Although Google Translation covers...
Preprint
Full-text available
The corpus preparation is one of the important challenging task for the domain of machine translation especially in low resource language scenarios. Country like India where multiple languages exists, machine translation attempts to minimize the communication gap among people with different linguistic backgrounds. Although Google Translation covers...
Preprint
Full-text available
Machine translation (MT) is a vital tool for aiding communication between linguistically separate groups of people. The neural machine translation (NMT) based approaches have gained widespread acceptance because of its outstanding performance. We have participated in WMT20 shared task of similar language translation on Hindi-Marathi pair. The main...
Conference Paper
Full-text available
Machine translation (MT) is a vital tool for aiding communication between linguistically separate groups of people. The neural machine translation (NMT) based approaches have gained widespread acceptance because of its outstanding performance. We have participated in WMT20 shared task of similar language translation on Hindi-Marathi pair. The main...
Conference Paper
Full-text available
The continuously increasing research in the field of science, engineering, and technology has generated textual and mathematical data in huge amounts. The research in retrieval and searching of textual data achieved the state-of-the-art results while searching and retrieval of mathematical information is in the early stage of research and requires...
Article
Full-text available
Spatial Relation identification is one of the integral parts of Spatial Information Retrieval. It deals with identifying the spatially related objects in view of their physical orientation or placement with respect to each other. The concept is widely used in many fields such as Robotics, Image Caption Generation and many more such areas. In this w...
Conference Paper
Full-text available
A chatbot is a software application aimed at simulating real-time conversations. This system has been designed to address a plethora of domains where they have proved themselves worthy to complement or in some areas replace human-based information acquisition. Though some domains like travel and food have advanced with the growing consumer demand,...
Article
Full-text available
In an automated Question Answering (QA) system, Question Classification (QC) is an essential module. The aim of QC is to identify the type of questions and classify them based on the expected answer type. Although the machine-learning approach overcomes the limitation of rules as is the case with the conventional rule-based approach but is restrict...
Chapter
Retrieval of math information is one of the recognized domain specific tasks in the research field of Natural Language Processing. Rigorous evaluation in the development of math information retrieval system invented a various indexing and searching techniques. This paper analyzes the contribution of cosine similarity in the retrieval of math inform...
Article
Image captioning is to generate captions for a given image based on the content of the image. To describe an image efficiently, it requires extracting as much information from it as possible. Apart from detecting the presence of objects and their relative orientation, the respective purpose intending the topic of the image is another vital informat...
Article
With increasing popularity of math formula search, a number of Math Information Retrieval (MIR) systems have come into being. Characterized by either conventional text-based techniques or newly evolved formula–centric indexing and search techniques, majority of such MIR systems exhibit applaudable performance. Nonetheless, it is common to observe c...