00 Identity

Rasika
Edirisinghe

MSCA Doctoral ResearcherUniversity College Cork

Textual relations
under transformation.

Representation · Retrieval · Judgement · Interpretation

The semantic observatory

From text to relation.

Textual relations under transformationAn archival text becomes a semantic representation, candidate relations are retrieved and judged, and an interpretable Milton and Shelley relation map remains after wording changes.“Did I request thee, Maker, from my clayTo mould me Man...”“I ought to be thy Adam,but I am rather the fallen angel...”MiltonShelleycreated beingcreatorcreationAdamfallen angelresponsibilityallusionDifferent words.The same questions.New ways to find them.TEXTUAL RELATIONS UNDER TRANSFORMATION
  1. Texts. Text / corpus. TEI / XML, JSONL, Parquet.
  2. Represent. Embeddings. Python, PyTorch, SentenceTransformers, Hugging Face, spaCy.
  3. Retrieve. Candidates. FAISS, BM25, ANN search, DuckDB.
  4. Judge. Ranked relations. LLMs, Benchmark design, Relation judgement, scikit-learn.
  5. Explore. Relation map. D3.js, Plotly, Streamlit, Matplotlib.
  6. Relation space. Persistent relation. Different words, The same questions, New ways to find them.
Portrait of Rasika Edirisinghe
UCC · Cork, Ireland