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Robust Processing of Natural Language [PDF]
, 1995 Previous approaches to robustness in natural language processing usually treat deviant input by relaxing grammatical constraints whenever a successful analysis cannot be provided by ``normal'' means. This schema implies, that error detection always comes
Menzel, Wolfgang
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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
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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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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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Natural‐language processing applied to an ITS interface [PDF]
, 1994 The aim of this paper is to show that with a subset of a natural language, simple systems running on PCs can be developed that can nevertheless be an effective tool for interfacing purposes in the building of an Intelligent Tutoring System (ITS).
Fischetti, Enrico, Gisolfi, Antonio
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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
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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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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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Sublemma-Based Neural Machine Translation
Complexity, 2021 Powerful deep learning approach frees us from feature engineering in many artificial intelligence tasks. The approach is able to extract efficient representations from the input data, if the data are large enough. Unfortunately, it is not always possible
Thien Nguyen, Huu Nguyen, Phuoc Tran
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