Results 51 to 60 of about 2,055,157 (200)
Enhancing Conversational Model With Deep Reinforcement Learning and Adversarial Learning
IEEE Access, 2023 This paper develops a Chatbot conversational model that is aimed to achieve two goals: 1) utilizing contextual information to generate accurate and relevant responses, and 2) implementing strategies to make conversations human-like.
Quoc-Dai Luong Tran +2 more
doaj +1 more source
The Scientific World Journal, 2014 With the rapid development of machine translation (MT), the MT evaluation becomes very important to timely tell us whether the MT system makes any progress.
Aaron L.-F. Han +4 more
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Distributional Measures of Semantic Abstraction
Frontiers in Artificial Intelligence, 2022 This article provides an in-depth study of distributional measures for distinguishing between degrees of semantic abstraction. Abstraction is considered a “central construct in cognitive science” (Barsalou, 2003) and a “process of information reduction ...
Sabine Schulte im Walde +1 more
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Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge [PDF]
arXiv, 2022 Natural language processing (NLP) aims at investigating the interactions between agents and humans, processing and analyzing large amounts of natural language data. Large-scale language models play an important role in current natural language processing.
arxiv
Sentiment Analysis for Thai Language in Hotel Domain Using Machine Learning Algorithms
Acta Informatica Pragensia, 2021 Sentiment analysis is one of the most frequently used aspects of Natural Language Processing (NLP), which utilizes the polarity classification of reviews expressed at the aspect, sentence or document level.
Nattawat Khamphakdee +1 more
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A Survey of the State of Explainable AI for Natural Language Processing [PDF]
AACL, 2020 Recent years have seen important advances in the quality of state-of-the-art models, but this has come at the expense of models becoming less interpretable.
Marina Danilevsky +5 more
semanticscholar +1 more source
A Relationship: Word Alignment, Phrase Table, and Translation Quality
The Scientific World Journal, 2014 In the last years, researchers conducted several studies to evaluate the machine translation quality based on the relationship between word alignments and phrase table.
Liang Tian +3 more
doaj +1 more source
Natural Language Processing and Language Technologies for the Basque Language
Cuadernos Europeos de Deusto, 2022 The presence of a language in the digital domain is crucial for its survival, as online communication and digital language resources have become the standard in the last decades and will gain more importance in the coming years.
Itziar Gonzalez-Dios, Begoña Altuna
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Brains and algorithms partially converge in natural language processing
Communications Biology, 2022 Deep learning algorithms trained to predict masked words from large amount of text have recently been shown to generate activations similar to those of the human brain. However, what drives this similarity remains currently unknown.
C. Caucheteux, J. King
semanticscholar +1 more source
Journal of Information Science Theory and Practice, 2015 Evaluation of retrieval systems is mostly limited to laboratory settings and rarely considers changes of performance over time. This article presents an evaluation of retrieval systems for internal Web site search systems between the years 2006 and 2011.
Mandl, Thomas +2 more
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