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TypedFlow
Typed frontend to TensorFlow and higher-order deep learningshami-corpus
Shami Dialect Corpus (SDC)FraCoq
Coq semantics for the GF FraCas suitettr
A type theory with recordsCompositionalBayesianSemantics
Code for "A Compositional Bayesian Semantics for Natural Language", Bernardy, Blanck, Chatzikyriakidis, Lappin 2018BLL2018
Code and data for the ACL2018 paper 'The Influence of Context on Sentence Acceptability Judgements'multifracas
Multilingual FraCaS testsuitegenerate_spatial_descriptions
The repository for "What Goes Into A Word: Generating Image Descriptions With Top-Down Spatial Knowledge"LREC_2022
Datasets for the paperFine-grained Entailment: Resources for Greek NLI and Precise Entailmentlanguage-and-perception
Situated Language and Perception Research Grouppredicting-acceptability
Language Modeling with Syntactic and Semantic Representation for Sentence Acceptability Predictionsanvec-metaphor
"Deep" Learning: Detecting Metaphoricity in Adjective-Noun Pairsdialogue-systems-1-2024
LT2216/LT2816 V24 DialogsystemProLin
Linear Prolog of Sortsocota
Paper: Bigrams and BiLSTMs\\ Two neural networks for sequential metaphor detectionDistributionalDiscourse
eccv18-sivl-attention
"Knowing When to Look For What and Where: Evaluating Generation of Spatial Descriptions with Adaptive Attention"semantic-shift-in-social-networks
functional-geometric-lm
Exploring the functional and geometric bias of spatial relations using neural language modelsspeechstate-lt2216
attention-as-grounding
A public repository with data and code for ''Attention as Grounding: Exploring Textual and Cross-Modal Attention on Entities and Relations in Language-and-Vision Transformer'' by Nikolai Ilinykh and Simon Dobnik. Findings of ACL, 2022.GU-CLASP.github.io
CLASP webpagesfunctional-geometric-bbox
Spatial descriptions on a functional-geometric spectrum: the location of objectsunitary-recurrent-network
Code and material for Unitary Recurrent Network language modelsembodied-qa
A hub repository for experiments on Embodied Question AnsweringLove Open Source and this site? Check out how you can help us