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Grounding of names in directory enquiries dialogue. A corpus study of listener feedback behaviour 

Bondarenko, Anastasia (2019-10-16)
This paper presents a new corpus of dialogues in the domain of directory enquiries. We describe its collection and annotation process and then analyse feedback strategies employed by the dialogue participants focusing ...
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Fast visual grounding in interaction 

Cano Santín, José Miguel (2019-10-04)
A big challenge for the development situated agents is that they need to be capable of grounding real objects of their enviroment to representations with semantic meaning, so they can be comunicated to human agents using ...
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SPEECH SYNTHESIS AND RECOGNITION FOR A LOW-RESOURCE LANGUAGE Connecting TTS and ASR for mutual benefit 

Makashova, Liliia (2021-09-23)
Speech synthesis (text-to-speech, TTS) and speech recognition (automatic speech recognition, ASR) are the NLP technologies that are the least available for low-resource and indigenous languages. Lack of computational and ...
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IMPLEMENTING PERCEPTUAL SEMANTICS IN TYPE THEORY WITH RECORDS (TTR) 

Matsson, Arild (2019-11-18)
Type Theory with Records (TTR) provides accounts of a wide range of semantic and linguistic phenomena in a single framework. This work proposes a TTR model of perception and language. Utilizing PyTTR, a Python implementation ...
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EMBODIED QUESTION ANSWERING IN ROBOTIC ENVIRONMENT Automatic generation of a synthetic question-answer data-set 

Aruqi, Ali (2021-11-12)
Embodied question answering is the task of asking a robot about objects in a 3D environment. The robot has to navigate the environment, find the entities in question, and then stop to answer the question. The answering ...
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CORPUS EXPLORATION AND DIALOGUE SYSTEM DESIGN FOR A VIRTUAL LIBRARIAN 

Li, Xiao (2020-09-01)
This thesis is a part of the virtual librarian project for the City Library Gothenburg (Stadsbibliotek Göteborg), which is a public city library. The objective of the project is to develop a virtual librarian using machine ...
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Kille: Learning Objects and Spatial Relations with Kinect 

de Graaf, Erik (2020-08-26)
In order for humans to have meaningful interactions with a robotic system, this system should be capable of grounding semantic representations to their real-world representations, learn spatial relationships and communicate ...
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Prosody and emotion: Towards the development of an emotional agent Emotional evaluation of news reports: production and perception experiments 

Tumma, Liina (2022-01-20)
There is a recognised need for more research on the topic of emotion recognition from speech, and clear and defined methodology in this area is still lacking. Most studies in the field of emotional speech recognition and ...
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WANNA BE ON TOP? The Hyperparameter Search for Semantic Change's Next Top Model 

Viloria, Kate (2021-09-22)
Lexical semantic change (LSC) detection through the use of diachronic corpora and computational methods continues to be a prevalent research area in language change (Tahmasebi et al., 2018). However, there has not yet been ...
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Determining linguistic predictor for the classification of subjective cognitive impairment and mild cognitive impairment using machine learning 

Wang, Tian (2020-09-01)
Introduction Mild Cognitive Impairment (MCI) is a neurological condition characterized by cognitive decline greater than expected for an individual's age and education level. Subjective Cognitive Impairment (SCI) is a ...
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AuthorAruqi, Ali (1)Bondarenko, Anastasia (1)Cano Santín, José Miguel (1)Casademont Moner, Judit (1)de Graaf, Erik (1)Grau Francitorra, Patricia (1)Hansson, Saga (1)Khojah, Ranim (1)Kumar Battula, Hemanth (1)Li, Xiao (1)... View MoreSubjectgrounding (2)neural networks (2)object learning (2)spatial relations (2)transfer learning (2)Abstract Wikipedia, Syntactic Analysis, Universal Dependencies, Grammatical Framework, UDPipe 2.0, Syntactic Patterns (1)artificial intelligence (1)automatic speech recognition (1)chatbot (1)design (1)... View MoreDate Issued2020 (4)2021 (4)2019 (3)2022 (1)Has File(s)
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