Results 101 to 110 of about 6,924 (296)
Improve Chinese Semantic Dependency Parsing via Syntactic Dependency Parsing [PDF]
-We address the problem of Chinese semantic dependency parsing. Dependency parsing is traditionally oriented to syntax analysis, which we denote by syntactic dependency parsing to distinguish it from semantic dependency parsing. In this paper, firstly we
Wanxiang Che +3 more
core
DAT-MT Accelerated Graph Fusion Dependency Parsing Model for Small Samples in Professional Fields. [PDF]
Li R +5 more
europepmc +1 more source
Dependency parsing as a classification problem [PDF]
This paper presents an approach to dependency parsing which can utilize any standard machine learning (classification) algorithm. A decision list learner was used in this work. The training data provided in the form of a treebank is converted to a format in which each instance represents information about one word pair, and the classification indicates
openaire +3 more sources
This study proposed a unified sequence‐based framework for protein binding site prediction, which adopted a tri‐track semantic multi‐source feature fusion strategy to effectively capture diverse macromolecular interaction sites and further improved the accuracy of antibody‐antigen interaction prediction.
Dongliang Hou +8 more
wiley +1 more source
Combining dependency parsing with PP attachment
Prepositional phrase (PP) attachment is one of the major sources for errors in traditional statistical parsers. The reason for that lies in the type of information necessary for resolving structural ambiguities.
Klett, Eva +2 more
core
Early life adversity triggers persistent social subordination and brain‐wide molecular dysregulation. Pharmacological inhibition of the stress‐mediator FKBP51 during the adversity period prevents these long‐term deficits and restores normative social hierarchy.
Joeri Bordes +15 more
wiley +1 more source
From news to comment: Resources and benchmarks for parsing the language of web 2.0 [PDF]
We investigate the problem of parsing the noisy language of social media. We evaluate four all-Street-Journal-trained statistical parsers (Berkeley, Brown, Malt and MST) on a new dataset containing 1,000 phrase structure trees for sentences from ...
Foster, Jennifer +6 more
core
Concurrent Parsing of Constituency and Dependency
Constituent and dependency representation for syntactic structure share a lot of linguistic and computational characteristics, this paper thus makes the first attempt by introducing a new model that is capable of parsing constituent and dependency at the same time, so that lets either of the parsers enhance each other.
Junru Zhou +2 more
openaire +2 more sources
An optimized single‐cell transcriptomic framework profiles over 60 000 cells to map the ovine rumen microbiome, partitioning the ecosystem into seven cross‐species functional clusters. In heat‐resistant hosts, a lineage‐specific metabolic shift in Anaerovibrio lipolyticus toward a highly glycolytic phenotype contributes to a “nutritional sparing ...
Sanbao Zhang +8 more
wiley +1 more source
Greedy Transition-Based Dependency Parsing with Stack LSTMs
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

