Organized inventory of research using the Abstract Meaning Representation
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Updated
Aug 23, 2026 - HTML
Organized inventory of research using the Abstract Meaning Representation
Diverse Natural Language Inference Collection - NLI dataset that can used to evaluate how well models perform distinct types of reasoning (EMNLP 2018)
A neural-symbolic joint reasoning approach for Natural Language Inference (NLI). Modeling NLI as inference path planning through a search engine. Sequence chunking and neural paraphrase detection for syntactic variation. SOTA result on SICK and MED.
Universal Dependency polarization for monotonicity based natural language inference
A model-facing canon for semantics, semiotics, symbols, meaning, reference, and interpretation.
DyLan (the Dynamic Syntax parser) finally in Python.
The official data of the NLP4DH 2026 paper "Matching Meaning at Scale: Evaluating Semantic Search for 18th-Century Intellectual History through the Case of Locke".
Modeling plurals, mass terms of fragment of English in Haskell
Study on stereotype transfer accross Multilingual Language Models for English, Spanish, French, Greek and Croatian. The emotion profiles for different social groups are obtained from pre-trained XLM-RoBERTa and fine-tuned versions of it.
Linguistic-knowledge-aware Neuro-symbolic Model for Entity State Tracking
Three-engine alchemical transformation framework — 22 operations mapping classical alchemy (Nigredo→Rubedo) onto computational semantics via distillation, fermentation, and projection engines
Semantic parsing from CCG to Logic. CYK chart parser deriving CCG syntax, with lambda-calculus composition via beta-reduction to first-order logical forms.
A dynamic field theory and architectural framework for semantic memory, latent cause ontogenesis, and conflict-driven structural adaptation.
Computational Semantics and Pragmatics
Sense clusterings of FinnWordNet
Evaluation (and some implementations/adaptations) of WSD systems for Finnish
Preprint + pseudocode for the PUTMAN Model (relational meaning graphs, activation, constrained reconstruction, rigidity).
Type-driven compositional semantics for a Minimalist-grammar fragment. Syntax drives composition via selectee/selector features rather than taking parse trees as input, and logical forms carry plural and mereological structure: sums, fusion, three part-relations. Written 2004-2011, sealed at 2011, packaged 2026 for current OCaml.
A new evaluation mechanism and a learning strategy for de-biased and interpretable NLI models. Models co-learn sentence classification and evidence retrieval for the classification.
Implementation of different Sentence Encoders trained on Natural Language Inference and evaluated on unseen tasks through Meta's SentEval framework.
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