The main purpose of language is to encode and communicate information of all sorts. Our research focuses on semantics — the study of meaning — and how a machine can assign meaning to utterances: words, sentences and texts, as humans can do. Our work is linguistically informed and applies advanced machine learning techniques. Understanding of language requires knowledge of language and the world, the ability to perform reasoning, and situational context. We study how to interface language with knowledge and how to ground language in the visual world. We investigate what can be left implicit in texts, given that language and knowledge interact, allowing humans to read between the lines.
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Jan 17, 2024
Opitz, Juri Alexander, 2024, "Source code and data for the PhD Thesis "Metrics of Graph-Based Meaning Representations with Applications from Parsing Evaluation to Explainable NLG Evaluation and Semantic Search"", https://doi.org/10.11588/data/RAS7U7, heiDATA, V1
This dataset contains source code and data used in the PhD thesis "Metrics of Graph-Based Meaning Representations with Applications from Parsing Evaluation to Explainable NLG Evaluation and Semantic Search". The dataset is split into five repositories: S3BERT: Source code to run...
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