Results 81 to 90 of about 6,965,125 (303)
Languages, 2023 This paper seeks to address the relation between semantics, pragmatics and the productivity of a low level lexico-grammatical construction, Have the N (body part/attitude) to ↔metapragmatic comment.
Chris A. Smith
doaj +1 more source
Improving Hypernymy Extraction with Distributional Semantic Classes
, 2018 In this paper, we show how distributionally-induced semantic classes can be helpful for extracting hypernyms. We present methods for inducing sense-aware semantic classes using distributional semantics and using these induced semantic classes for ...
Biemann, Chris +4 more
core +1 more source
Disambiguation of newly derived nominalizations in context: A Distributional Semantics approach
Word Structure, 2018 One of the central problems in the semantics of derived words is polysemy (see, for example, the recent contributions by Lieber 2016 and Plag et al. 2018 ). In this paper, we tackle the problem of disambiguating newly derived words in context by applying
Gabriella Lapesa +5 more
semanticscholar +1 more source
Advanced Healthcare Materials, EarlyView.Cerebral organoids are transforming brain research, yet the field remains fragmented. This comprehensive systematic review maps 738 studies published between 2014 and 2024 to uncover trends, gaps, and opportunities across neuroscience. Introducing OrganoidMap—an interactive, open‐access platform to explore and compare models—this work enables ...
Anna Wolfram +10 more
wiley +1 more source
Experimental Support for a Categorical Compositional Distributional Model of Meaning [PDF]
, 2011 Modelling compositional meaning for sentences using empirical distributional methods has been a challenge for computational linguists. We implement the abstract categorical model of Coecke et al.
Grefenstette, Edward +1 more
core +1 more source
Morphological Priors for Probabilistic Neural Word Embeddings
, 2016 Word embeddings allow natural language processing systems to share statistical information across related words. These embeddings are typically based on distributional statistics, making it difficult for them to generalize to rare or unseen words.
Bhatia, Parminder +2 more
core +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
Advanced Materials, EarlyView.This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Mathematical Foundations for a Compositional Distributional Model of Meaning [PDF]
, 2010 We propose a mathematical framework for a unification of the distributional theory of meaning in terms of vector space models, and a compositional theory for grammatical types, for which we rely on the algebra of Pregroups, introduced by Lambek.
Clark, Stephen +2 more
core
Acquisition of Phrase Correspondences using Natural Deduction Proofs
, 2018 How to identify, extract, and use phrasal knowledge is a crucial problem for the task of Recognizing Textual Entailment (RTE). To solve this problem, we propose a method for detecting paraphrases via natural deduction proofs of semantic relations between
Bekki, Daisuke +3 more
core +1 more source
A Distributional Semantics Model for Idiom Detection - The Case of English and Russian
International Conference on Agents and Artificial Intelligence, 2018 This paper describes experiments in English and Russian automatic idiom detection. Our algorithm is based on the idea that literal and idiomatic expressions appear in different contexts.
Jing Peng +2 more
semanticscholar +1 more source