gu-clasp Goto Github PK
Name: CLASP
Type: Organization
Bio: Centre for Linguistic Theory and Studies in Probability
Location: Gothenburg
Blog: http://clasp.gu.se
Name: CLASP
Type: Organization
Bio: Centre for Linguistic Theory and Studies in Probability
Location: Gothenburg
Blog: http://clasp.gu.se
"Deep" Learning: Detecting Metaphoricity in Adjective-Noun Pairs
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.
Source code accompanying Bayesian Inference Semantics for Natural Language
Code and data related to "Bayesian Inference Semantics: A Modelling System and A Test Suite"
Code and data for the ACL2018 paper 'The Influence of Context on Sentence Acceptability Judgements'
Dialogue Experimental Toolkit (DiET)
Dialogue Experimental Toolkit (DiET)
Centre for Language Technology Seminar Series
Code for "A Compositional Bayesian Semantics for Natural Language", Bernardy, Blanck, Chatzikyriakidis, Lappin 2018
Scraper for forum comments
Statistics data about the Lexical Distance Study of Arabic Dialects
A public repository with data and code for ''Describe Me an Auklet: Generating Grounded Perceptual Category Descriptions'', Bill Noble and Nikolai Ilinykh. 2023. EMNLP 2023, Main, December 6–10, Singapore.
LT2216/LT2816 V24 Dialogsystem
A public repository with data and code for ''On Decoding and Discourse Structure in Multi-Modal Text Generation'', Nikolai Ilinykh and Simon Dobnik. Generation, Evaluation & Metrics (GEM) workshop at EMNLP, 2022.
Experimenting with prediction of verb number using DNNs
"Knowing When to Look For What and Where: Evaluating Generation of Spatial Descriptions with Adaptive Attention"
A hub repository for experiments on Embodied Question Answering
Coq semantics for the GF FraCas suite
Spatial descriptions on a functional-geometric spectrum: the location of objects
Exploring the functional and geometric bias of spatial relations using neural language models
The repository for "What Goes Into A Word: Generating Image Descriptions With Top-Down Spatial Knowledge"
CLASP webpages
A public repository with code and experiments for ''Hallucinate or ground: how general or specific are objects descriptions generated by a vision-and-language transformer?'', Nikolai Ilinykh and Simon Dobnik. Swedish Language Technology Conference, Stockholm, 23 - 25 November, 2022.
Situated Language and Perception Research Group
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.