Results 61 to 70 of about 311,585 (364)
Parsing Protocol Standards to Parse Standard Protocols [PDF]
Proceedings of the Applied Networking Research Workshop, 2020 Internet protocol standards have been slow to adopt formal protocol description languages and methodologies, and are still largely written as English prose. This makes it hard to check them for correctness, or to automatically derive implementations from standards. Reasons for this are both technical and social.
McQuistin, Stephen +3 more
openaire +1 more source
Retrospective Review on Reticular Materials: Facts and Figures Over the Last 30 Years
Advanced Materials, EarlyView.To shape the future course of research in reticular materials, this work reflects on the progress over the past 30 years, complemented by input from the community of 228 active researchers through a global, crowdsourced survey: ranging from demographics, how it works, publish and interact, to highlights on both academic and industrial milestones, as ...
Aamod V. Desai +8 more
wiley +1 more source
DCU-Paris13 systems for the SANCL 2012 shared task [PDF]
, 2012 The DCU-Paris13 team submitted three systems to the SANCL 2012 shared task on parsing English web text. The first submission, the highest ranked constituency parsing system, uses a combination of PCFG-LA product grammar parsing and self-training.
Anton Bryl +5 more
core +2 more sources
Learning Crystallographic Disorder: Bridging Prediction and Experiment in Materials Discovery
Advanced Materials, EarlyView.Machine learning based computational materials discovery workflows have recently proposed thousands of potentially stable crystalline materials. However, the experimental realization of these predictions is often challenging because the models assume perfectly ordered structures.
Konstantin S. Jakob +3 more
wiley +1 more source
Digitization and mapping of national legacy soil data of Montenegro
Soil and Water Research, 2018 This paper describes the process of digitizing Montenegro's legacy soil data, and an initial attempt to use it for digital soil mapping (DSM) purposes. The handwritten legacy numerical records of physical and chemical properties for more than 10 000 soil
Edin SALKOVIĆ +4 more
doaj +1 more source
LFG without C-structures [PDF]
, 2010 We explore the use of two dependency parsers, Malt and MST, in a Lexical Functional Grammar parsing pipeline. We compare this to the traditional LFG parsing pipeline which uses constituency parsers.
Cahill, Aoife +5 more
core +1 more source
Compositional Semantic Parsing on Semi-Structured Tables [PDF]
Annual Meeting of the Association for Computational Linguistics, 2015 Two important aspects of semantic parsing for question answering are the breadth of the knowledge source and the depth of logical compositionality. While existing work trades off one aspect for another, this paper simultaneously makes progress on both ...
Panupong Pasupat, Percy Liang
semanticscholar +1 more source
Advanced Materials Interfaces, EarlyView.This work endeavors to engineer uranium mononitride (UN) nanostructures within a metallic nuclear fuel (U─Mo), in order to trap potential fission products (Nd). From consolidation of the nanostructured U─Mo powders all the way to 1000 h at reactor‐like temperatures (500 °C), Nd preferentially migrates to nanostructure boundaries (hetero‐interfaces ...
James Zillinger +8 more
wiley +1 more source
Statistical parsing of morphologically rich languages (SPMRL): what, how and whither [PDF]
, 2010 The term Morphologically Rich Languages (MRLs) refers to languages in which significant information concerning syntactic units and relations is expressed at word-level. There is ample evidence that the application of readily available statistical parsing
Candito, Marie +8 more
core +2 more sources
Universal Dependency Parsing from Scratch [PDF]
Conference on Computational Natural Language Learning, 2019 This paper describes Stanford’s system at the CoNLL 2018 UD Shared Task. We introduce a complete neural pipeline system that takes raw text as input, and performs all tasks required by the shared task, ranging from tokenization and sentence segmentation,
Peng Qi +3 more
semanticscholar +1 more source