Results 91 to 100 of about 179,036 (364)
, 2015 We reduce phrase-representation parsing to dependency parsing. Our reduction is grounded on a new intermediate representation, "head-ordered dependency trees", shown to be isomorphic to constituent trees.
Fernández-González, Daniel +1 more
core +1 more source
Advanced Energy Materials, EarlyView.Machine learning applications in Li‐ion batteries. Abstract Technology for lithium‐ion batteries (LIBs) is developing rapidly, which is essential to modern devices and renewable energy sources. The latest development focuses on the optimization of cathode materials, which is critical in determining battery performance and durability.
Adil Saleem +3 more
wiley +1 more source
Greedy Transition-Based Dependency Parsing with Stack LSTMs
Computational Linguistics, 2017 We introduce a greedy transition-based parser that learns to represent parser states using recurrent neural networks. Our primary innovation that enables us to do this efficiently is a new control structure for sequential neural networks—the stack long ...
Miguel Ballesteros +3 more
doaj +1 more source
CAMR at SemEval-2016 Task 8: An Extended Transition-based AMR Parser
International Workshop on Semantic Evaluation, 2016 This paper describes CAMR, the transition-based parser that we use in the SemEval-2016 Meaning Representation Parsing task. The main contribution of this paper is a description of the additional sources of information that we use as features in the ...
Chuan Wang +4 more
semanticscholar +1 more source
opXRD: Open Experimental Powder X‐Ray Diffraction Database
Advanced Intelligent Discovery, EarlyView.We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek +23 more
wiley +1 more source
Journal of Computer and System Sciences, 1982 AbstractA general framework for constructing very small deterministic parsers using a mixed top-down-bottom-up parsing strategy is presented. It is proved that the method leads indeed to valid parsers halting for each input string. Conditions ensuring the determinism of the parser are studied, and bounds on its size are established.
openaire +2 more sources
It Depends: Dependency Parser Comparison Using A Web-based Evaluation Tool
Annual Meeting of the Association for Computational Linguistics, 2015 The last few years have seen a surge in the number of accurate, fast, publicly available dependency parsers. At the same time, the use of dependency parsing in NLP applications has increased. It can be difficult for a non-expert to select a good “off-the-
Jinho D. Choi +2 more
semanticscholar +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
Advanced Intelligent Discovery, EarlyView.This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Personalized Kirigami Strain Sensors for in vivo Applications
Advanced Intelligent Systems, EarlyView.Rapid prototyping of strain sensors is demonstrated using a laser cutter that both converts carbon‐based material to strain responsible graphene and generates cuts in a kirigami‐style pattern that allows enhanced substrate flexibility. This method is used to generate wearable sensors for monitoring heart rate, limb/finger motion, and abdominal ...
Siheng Sean You +7 more
wiley +1 more source
UDapter: Typology-based Language Adapters for Multilingual Dependency Parsing and Sequence Labeling
Computational Linguistics, 2022 Recent advances in multilingual language modeling have brought the idea of a truly universal parser closer to reality. However, such models are still not immune to the “curse of multilinguality”: Cross-language interference and restrained model capacity ...
Ahmet Üstün +3 more
doaj +1 more source