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IMPLEMENTING PERCEPTUAL SEMANTICS IN TYPE THEORY WITH RECORDS (TTR)
(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 ...
Fast visual grounding in interaction
(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 ...
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) ...
EMBODIED QUESTION ANSWERING IN ROBOTIC ENVIRONMENT Automatic generation of a synthetic question-answer data-set
(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 ...
IMPLEMENTING A GROUNDING MODULE FOR AN NPC Testing grounding of novel names with state charts and LLMs
(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 ...
Grounding of names in directory enquiries dialogue. A corpus study of listener feedback behaviour
(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 ...
THE LINGUISTIC STRUCTURE OF WIKIPEDIA A multilingual analysis and comparison of the language used in Wikipedia articles
(2022-06-20)
Wikipedia is a great source of knowledge, but due to its open-collaboration nature, it presents some limitations.
Namely, the uneven distribution of content, the low overlap in topic coverage, the differences in
the ...
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 ...
MULTI-CLASS GRAMMATICAL ERROR DETECTION Data, Benchmarks and Evaluation Metrics for the First Shared Task on Swedish L2 Data
(2022-06-20)
Grammatical Error Detection (GED) is a challenging NLP task that has not received a lot of research attention
in the recent years, especially in the Swedish language. However, in the world we live in, where there
are ...
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 ...