Natural language processing engine for on-the-go application / by Muhammad Hadi Asyrafi Abdul Halim, 1994- , author, Musa Mohd. Mokji, 1979- , supervisor, Fakulti Kejuruteraan Elektrik

Subjects: “…Natural language processing (Computer science)…”

Natural language processing engine for on-the-go application / by Muhammad Hadi Asyrafi Abdul Halim, 1994- , author

Reflection analysis using natural language processing / by Tan, Yen Tyng, 1996-, author, Ahmad Zuri Sha'ameri, supervisor, Fakulti Kejuruteraan. Sekolah Kejuruteraan Elektrik

Subjects: “…Natural language processing (Computer science)…”

Reflection analysis using natural language processing / by Tan, Yen Tyng, 1996-, author, Ahmad Zuri Sha'ameri, supervisor, Fakulti Kejuruteraan. Sekolah Kejuruteraan Elektrik

Subjects: “…Natural language processing (Computer science)…”

Information Flow in Pregroup Models of Natural Language by Peter M. Hines

“…This paper is about pregroup models of natural languages, and how they relate to the explicitly categorical use of pregroups in Compositional Distributional Semantics and Natural Language Processing. …”
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Finite-State Methodology in Natural Language Processing by Michal Korzycki

Subjects: “…Natural language processing…”
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Advancements in Natural Language Processing for Text Understanding by John Basha M., Vijayakumar S., Jayashankari J., Alawadi Ahmed Hussein, Durdona Pulatova

“…Natural language processing (NLP) developments have made it possible for robots to read and analyze human language with astounding precision, revolutionizing the field of text understanding. …”
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Natural Language Processing: Recent Development and Applications by Kuei-Hu Chang

“…Natural Language Processing (NLP) can be categorized into the subfields of artificial intelligence (AI) and linguistics [...]…”
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Natural Language Question Answering in Open Domains by Dan Tufis

“…The evaluation of the system has been independently done by the organizers of the ResPubliQA 2009 exercise and has been rated the best performing system with the highest improvement due to the natural language processing technology over a baseline state-of-the-art IR system. …”
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Statistical inferences for polarity identification in natural language. by Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann

“…In order to facilitate this task, this work proposes LASSO regularization as a statistical tool to extract decisive words from textual content in order to study the reception of granular expressions in natural language. This differs from the usual use of the LASSO as a predictive model and, instead, yields highly interpretable statistical inferences between the occurrences of words and an outcome variable. …”
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Generating Natural Language Descriptions From Tables by Juan Cao

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Natural language metaphors covertly influence reasoning. by Paul H Thibodeau, Lera Boroditsky

“…Metaphors pervade discussions of social issues like climate change, the economy, and crime. We ask how natural language metaphors shape the way people reason about such social issues. …”
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Natural Language Processing for Virtual Reference Analysis by Ansh Sharma, Kathryn Barrett, Kirsta Stapelfeldt

“…The research team explored the viability of automatic and natural language processing (NLP) strategies to perform rapid topic analysis on a large dataset of transcripts from a consortial chat service. …”
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Associative Word Relations in Natural Language Processing by Nebojša D. Grujić, Vladimir M. Milovanović

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Exploring natural language understanding in robotic interfaces by Ioannis Giachos, Evangelos C. Papakitsos, Georgios Chorozoglou

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Dual Density Operators and Natural Language Meaning by Daniela Ashoush, Bob Coecke

“…Density operators allow for representing ambiguity about a vector representation, both in quantum theory and in distributional natural language meaning. Formally equivalently, they allow for discarding part of the description of a composite system, where we consider the discarded part to be the context. …”
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A Controlled Natural Language for the Semantic Web by Schwitter, Rolf

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Adapting natural language processing for technical text by Alden Dima, Sarah Lukens, Melinda Hodkiewicz, Thurston Sexton, Michael P. Brundage

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Natural Language Description of Videos for Smart Surveillance by Aniqa Dilawari, Muhammad Usman Ghani Khan, Yasser D. Al-Otaibi, Zahoor-ur Rehman, Atta-ur Rahman, Yunyoung Nam

“…Our results show that our framework has distinct advantages over traditional rule-based models for the recognition and generation of natural language descriptions.…”
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Statistical Significance Testing for Natural Language Processing by Edwin D. Simpson

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