Masteruppsatser / Master in Language Technology

From Abstract Syntax to Natural Language Addressing Natural Language Generation Challenges in Arabic Using GFWordnet as Lexical Resources.

Zarzoura, Mohamed (2024-11-28)

This thesis explores the development and evaluation of Arabic natural language generation using the Grammatical Framework (GF) within GFPedia. GFPedia is a framework that generates multilingual content using predefined ...

FINDING MEANING IN A HAYSTACK: On How Vision and Language Models Process Figurative Language

Filippatou, Viktoria (2024-11-28)

Figurative language is an integral part of human communication and everyday life. As a Natural Language Processing task it has long been the focus of attention in research, and recently it has been translated into a ...

IMPLEMENTING A GROUNDING MODULE FOR AN NPC Testing grounding of novel names with state charts and LLMs

Astaiza Soriano, Nayat (2024-11-12)

In this work we argue that any system that processes spoken human language should incorporate mechanisms for grounding, as it is an essential part of human communication. Because of this, we explore two name-grounding ...

"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

Le Glouanec, Bérénice (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

Akhavan, Kamaneh (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

Künkele, Dominik (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

Giannitzi, Eleni (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

Zhou, Jiayun (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.

Zerkowska, Anika Milena (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

Laszlo, Bogdan (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

Hakkarainen, Stanislav; Engelbrecht, Katharina (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

Monteiro, Hélder (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

Slowinska, Ewa (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

Södahl Bladsjö, Tom (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

Kolovou, Ourania (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

Vicente Dutra, Lívia (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 ...