📈 New paper published at NeurIPS 2025 Main Conference Track
Overview Dependency parsing is the task of inferring natural language structure, often approached by modeling word interactions via attention through biaffine scoring. This mechanism works like self-attention in Transformers, where scores are calculated for every pair of words in a sentence.
Dec 2, 2025
📈 New paper published at IPM (if. 7.4)
Overview Research on knowledge graph construction (KGC) has recently shown great promise also thanks to the adoption of large language models (LLM) for the automatic extraction of structured information from raw text.
Jun 4, 2025
Natural vs programming language in LLM knowledge graph construction
Jan 1, 2025