Automated essay scoring /

Automated essay scoring /

Bibliografske podrobnosti
Main Authors:	Klebanov, Beata Beigman (Author), Madnani, Nitin (Author)
Format:	Knjiga
Jezik:	English
Izdano:	San Rafael, California : Morgan & Claypool Publishers, c2022.
Serija:	Synthesis lectures on human language technologies, 1947-4059 ; 52
Teme:	Grading and marking (Students) > Data processing. Educational tests and measurements > Data processing. Natural language processing (Computer science). Natural Language Processing. Computer science.
Classic Catalogue:	View this record in Classic Catalogue

Podobne knjige/članki

Automated essay scoring for Bangla
od: Mahjabin, Rubayet, et al.
Izdano: (2024)

Score reporting research and applications /
Izdano: (2019)

Evaluating pupil growth : principles of tests and measurements /
od: Ahmann, J. Stanley
Izdano: (1971)

Making classroom assessments reliable & valid /
od: Marzano, Robert J.
Izdano: (2018)

Grading strategies for the college classroom : a collection of articles for faculty /
Izdano: (2013)

Automate crime news segmentation, knowledge-based generation and public opinion mining for social awareness
od: Sabit, Ahmed Bin, et al.
Izdano: (2021)

Automatic subtitle generation for Bengali multimedia using deep learning
od: Rhythm, Ehsanur Rahman, et al.
Izdano: (2024)

Subjective question generation and answer evaluation using NLP
od: Swapno, Ahmed Symum, et al.
Izdano: (2024)

Vulgar and spam comment identification using Gluon Natural Language Processing and Convolution Neural Networks
od: Jahan, Rufyda
Izdano: (2019)

Natural language processing for online applications : text retrieval, extraction, and categorization /
od: Jackson, Peter, 1948-
Izdano: (2002)

Interpretable Bangla fake news classification using BERT and traditional machine learning approaches
od: Anan, Ramisa, et al.
Izdano: (2023)

Automated essay grading with recommendation
od: Arafat, Arshad, et al.
Izdano: (2016)

Assessing language through computer technology /
od: Chapelle, Carol
Izdano: (2006)

Mastering transformers : build SOTA models from scratch with advanced natural language processing techniques /
od: Yildırım, Savas
Izdano: (2021)

Relational Knowledge Discovery
od: M. E. Müller
Izdano: (2012)

Sentimental analysis of customer product Reviews to understand customer needs using machine learning
od: Symum, Md Abdullah Al, et al.
Izdano: (2023)

Natural language processing and information systems : 6th International Conference on Applications of Natural Language to Information Systems, NLDB 2002, Stockholm, Sweden, June 27-28, 2002 : revised papers /
Izdano: (2002)

Advanced natural language processing with TensorFlow 2 : build effective real-world NLP applications using NER, RNNS, seq2seq models, transformers, and more /
od: Bansal, Ashish
Izdano: (2021)

Statistical significance testing for natural language processing /
Izdano: (2020)

Deep convolutional GAN-based data augmentation for medical image classification
od: Datta, Joy, et al.
Izdano: (2022)

Quality assessment of extracted information from newspaper comment sections using natural language processing
od: Deb, Arnob, et al.
Izdano: (2024)

NLP-based AI robot for intelligent interaction
od: Dastagir, Golam, et al.
Izdano: (2024)

Automated reference validation for scholarly publications using NLP
od: Khan, A S M Nasim, et al.
Izdano: (2024)

Spoken English on computer : transcription, mark-up, and application /
Izdano: (1995)

Towards devising an efficient VQA in the Bengali Language
od: Islam, S M Shahriar, et al.
Izdano: (2022)

Market demand analysis using NLP in Bangla language
od: Hossain, Md Sabbir, et al.
Izdano: (2022)

Natural language processing with Python and spaCy : a practical introduction /
od: Vasiliev, Yuli
Izdano: (2020)

Exploration and mitigation of gender bias in word embeddings from transformer-based language models
od: Hossain, Ariyan, et al.
Izdano: (2024)

Getting started with Google BERT : build and train state-of-the-art natural language processing models using BERT /
od: Ravichandiran, Sudharsan
Izdano: (2021)

Representation learning for natural language processing /
od: Liu, Zhiyuan
Izdano: (2020)

The natural language processing workshop : confidently design and build your own NLP projects with this easy-to-understand practical guide /
od: Chopra, Rohan, et al.
Izdano: (2020)

The applied AI and natural language processing workshop : explore practical ways to transform your simple projects into powerful intelligent applications /
od: Sankar, Krishna, et al.
Izdano: (2020)

Natural language processing and computational linguistics : a practical guide to text analysis with python, gensim, spaCy, and keras /
od: Srinivasa-Desikan, Bhargav
Izdano: (2018)

Introduction to natural language processing /
od: Eisenstein, Jacob
Izdano: (2019)

A transformer based approach to detect the sentiment of drivers in ride sharing platforms
od: Chakraborty, Sovon
Izdano: (2024)

Sentiment analysis of customer reviews on food ordering portals of Bangladesh using natural language processing
od: Deb, Priom, et al.
Izdano: (2024)

Text mining of news articles to detect violation of human rights
od: Mahmud, A M Saif, et al.
Izdano: (2019)

BnClinical-Sum: benchmarking datasets for Bangla long & short clinical dialogue summarization
od: Adib, Quazi Adibur Rahman, et al.
Izdano: (2024)

Natural language processing with PyTorch : build intelligent language applications using deep learning /
od: Rao, Delip, et al.
Izdano: (2019)

Sentiment classification on Bengali food and restaurant reviews
od: Hossain, Abid, et al.
Izdano: (2024)