Results 81 to 90 of about 3,861,227 (307)
Lambda Dependency-Based Compositional Semantics [PDF]
, 2013 This short note presents a new formal language, lambda dependency-based compositional semantics (lambda DCS) for representing logical forms in semantic parsing.
Liang, Percy
core
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
Advanced Robotics Research, EarlyView.A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Adequacy of compositional translations for observational semantics [PDF]
, 2008 We investigate methods and tools for analysing translations between programming languages with respect to observational semantics. The behaviour of programs is observed in terms of may- and must-convergence in arbitrary contexts, and adequacy of ...
Niehren, Joachim +3 more
core +8 more sources
Suszko's Problem: Mixed Consequence and Compositionality
, 2019 Suszko's problem is the problem of finding the minimal number of truth values needed to semantically characterize a syntactic consequence relation. Suszko proved that every Tarskian consequence relation can be characterized using only two truth values ...
Chemla, Emmanuel, Egré, Paul
core +3 more sources
Advanced Science, EarlyView.Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang +7 more
wiley +1 more source
Lp-Norm for Compositional Data: Exploring the CoDa L1-Norm in Penalised Regression
MathematicsThe Least Absolute Shrinkage and Selection Operator (LASSO) regression technique has proven to be a valuable tool for fitting and reducing linear models. The trend of applying LASSO to compositional data is growing, thereby expanding its applicability to
Jordi Saperas-Riera +2 more
doaj +1 more source
Towards Compositional Distributional Discourse Analysis [PDF]
Electronic Proceedings in Theoretical Computer Science, 2018 Categorical compositional distributional semantics provide a method to derive the meaning of a sentence from the meaning of its individual words: the grammatical reduction of a sentence automatically induces a linear map for composing the word vectors ...
Bob Coecke +3 more
doaj +1 more source
Game-Theoretic Semantics for Alternating-Time Temporal Logic [PDF]
, 2018 We introduce versions of game-theoretic semantics (GTS) for Alternating-Time Temporal Logic (ATL). In GTS, truth is defined in terms of existence of a winning strategy in a semantic evaluation game, and thus the game-theoretic perspective appears in the ...
Goranko, Valentin +2 more
core +2 more sources
A calculus for semantic composition and scoping [PDF]
Proceedings of the 27th annual meeting on Association for Computational Linguistics -, 1989 Certain restrictions on possible scopings of quantified noun phrases in natural language are usually expressed in terms of formal constraints on binding at a level of logical form. Such reliance on the form rather than the content of semantic interpretations goes against the spirit of compositionality. I will show that those scoping restrictions follow
openaire +1 more source
Integrating Spatial Proteogenomics in Cancer Research
Advanced Science, EarlyView.Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang +13 more
wiley +1 more source