Masteruppsatser / Master in Language Technology
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Recent Submissions
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"MOVE TOWARDS THE BIG BLACK PIANO": HOW FINE-GRAINED FEATURES AFFECT THE GOAL OF NAVIGATION Improving salient landmark features in an end-to-end system
(2024-10-30)Navigational instructions like ”Move towards the big black piano” or ”Head past the green armchair” are intuitive for humans, as they rely on salient landmarks to guide movement through space. This thesis explores how ... -
GENERATING ROUTE DESCRIPTIONS Automatic generation of route descriptions with visual elements from graph and salient landmarks
(2024-10-25)Can machines find the shortest route and guide us using intuitive, human-like instructions, such as ”move towards the big black piano” or ”head past the green armchair”? This thesis investigates the potential of machines ... -
EMERGENCE OF REFERRING EXPRESSIONS THROUGH LANGUAGE GAMES
(2024-10-25)There has been a recent focus on how neural agents in language games ground referring expressions in visual 3D-scenes. This thesis explores when referring expressions emerge and if they align with referring expression ... -
WHEN EYES MEET LAUGHTER: Exploring Non-Verbal Cues in Human-Robot Interaction with Furhat
(2024-10-25)Human-robot interaction is becoming increasingly popular, with social robots like Furhat playing key roles in enhancing communication through both verbal and non-verbal cues. This thesis investigates the impact of gaze ... -
Fine-Tuning Large Language Models for Practical Software Engineering: Case Studies in Automated Patch Generation
(2024-10-21)In recent years, software development has become increasingly complex, posing challenges in problem-solving, code optimization, and error correction. The rise of Artificial Intelligence (AI) and Large Language Models (LLMs) ... -
PERSONALIZED LANGUAGE LEARNING IN THE AGE OF AI. Leveraging Large Language Models for Optimal Learning Outcomes.
(2024-06-25)In a new era marked by technological advancements and the AI boom, language learning is no longer limited to the classrooms. The emergence of Large Language Models (LLMs) propels further advancements within language ... -
Creating Synthetic Dialogue Datasets for NLU Training. An Approach Using Large Language Models
(2024-06-20)This thesis explores the topic of using the GPT-4 large language model, to generate high-quality, diverse synthetic dialogue datasets for training Natural Language Understanding (NLU) models in task-oriented dialogue ... -
Automatic Idiomatic Expression Detection. Comparison Between GPT-4 and Gemini Pro Prompt Engineering & LSTM-RNN Construction
(2024-06-18)This thesis explores the concept of detecting non-literal phrases using Large Language Models (LLM) such as GPT-4 and Gemini Pro, as well as Recurrent Neural Networks (RNN), LSTM and BiLSTM models in particular. Through ... -
Logical properties of Natural Language Inference - Experiments with Synthetic Data to Study Consequence Relations in LSTMs
(2024-06-17)Natural language inference (NLI) datasets are great resources to train and benchmark models that infer entailment relations. However, these datasets are known to have issues such as lexical biases that affect the behaviour ... -
EXPLORING LEXICAL SEMANTIC CHANGE IN POLISH USING XL-LEXEME
(2024-06-17)The scope of this thesis is on Lexical Semantic Change (LSC) and its automatic detection in the Polish language. Following Cassotti et al. (2023)’s findings, the following thesis leverages XL-Lexeme, a transformerbased ... -
Don't Mention the Norm
(2024-06-17)Reporting bias (the human tendency to not mention obvious or redundant information) and social bias (societal attitudes toward specific demographic groups) have both been shown to propagate from human text data to language ... -
MACHINE TRANSLATION FROM ANCIENT GREEK TO ENGLISH: EXPERIMENTS WITH OPENNMT
(2024-06-17)The current thesis focuses on the application of neural machine translation (NMT) models translating from Ancient Greek to English. The rich morphology, syntax, and vocabulary of the Ancient Greek combined with its status ... -
Evaluating the contribution of framenet to gender-based violence identification - How semantic annotation can be used as a resource for identifying patterns of violence
(2024-06-17)According to the World Health Organization, one in three women has been a victim of physical or sexual violence by their partner at some point in their lives. This indicates that Gender-Based Violence is a global public ... -
IŻ SWÓJ JĘZYK MAJĄ! An exploration of the computational methods for identifying language variation in Polish
(2023-06-19)Computational approaches to language variation continue to contribute in a relevant way to various fields, including Natural Language Processing (NLP) and linguistics. Being able to accommodate variation within natural ... -
WHO’S AFRAID OF COMPLEXITY? An Exploration of the Influence of Native Language Complexity on L2 Complexity
(2023-06-19)The matter of linguistic complexity has been widely scrutinised in the last few decades, within theoretical linguistics, as well as in second language acquisition studies. A concept introduced in the last half of the previous ... -
EVALUATING THE EXTENT OF ETHNIC BIASES IN FINBERT AND EXPLORING DEBIASING TECHNIQUES
(2022-10-07)Language models are becoming increasingly popular. These models can contain social biases about various groups of people in them. The reproduction of biased beliefs can have harmful impacts on the groups they are about. ... -
GO BACK TO /R/CONSPIRACY: AN EXPLORATION OF METHODS FOR THE AUTOMATIC DETECTION OF AFFECTIVE POLARIZATION ON REDDIT
(2022-10-06)Affective polarization – the tendency to hold negative attitudes towards an out-group and biased, positive attitudes towards an in-group – is a hot topic in research and public debate. There are concerns that news media’s ... -
DIALOGUE STRATEGIES FOR VOCABULARY LEARNING User Initiative in Dialogue Systems for Second Language Learning
(2022-10-06)When building efficient dialogue systems, a major challenge is recovering from miscommunication. Analyzing human-human interaction leads to discovering repair strategies that contribute towards conversational systems ... -
LAUGHTER PREDICTION IN TEXT BASED DIALOGUES Predicting Laughter using Transformer-Based Models
(2022-06-20)In this paper we will attempt to predict and assess the performance of predicting laughter using a BERT model (Devlin et al., 2019), and a BERT model finetuned on the Open subtitles dataset with and without considering ...