[PDF] Top 20 Graph Based Meaning Representations: Design and Processing
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Graph Based Meaning Representations: Design and Processing
... the design of broad-coverage meaning representa- tions and the syntax–semantics interface, and on the use of syntactico-semantic structure in natu- ral language understanding ...MRS meaning ... See full document
6
Learning to Map Dependency Parses to Abstract Meaning Representations
... the meaning of the sub-graph of the concept and its child concepts corresponding to the phrase of the head word node, and 2) the dependency node contains sufficient information for the extraction of rewrite ... See full document
6
Proceedings of the First International Workshop on Designing Meaning Representations
... distributed representations and deep neural networks that recently led to many advances in the field or Natural Language Processing? In other words, will the distributed representations displace the ... See full document
12
TELOS: An Approach for Distributed Graph Processing Based on Overlay Composition
... is based on defining overlay networks collectively built and managed by the nodes of the ...classical graph analysis problems, such as connected components [28, 25] and centrality measures ... See full document
16
Morphological Representations In Lexical Processing
... of processing, which, as discussed in Chapter 2, is particularly pertinent in the auditory modality where the signal unfolds ...experimental design which examines the sensitivity of phonological rhyme ... See full document
181
Cognitively Motivated Distributional Representations of Meaning
... sentence-level representations are constructed in a recursive bottom-up ...that meaning is at the core of human cog- nition, incorporating findings from the area of semantic cognition into the design ... See full document
7
Case Study on Graph Processing Using Graph Engine
... large graph data has proved of essential importance in the present day ...large graph system, the specific architectural design requirements for different types of data and its application needs in ... See full document
5
Non-intrusive load disaggregation using graph signal processing
... we design a Graph signal processing (GSP)-based approach for non- intrusive appliance load monitoring (NILM), ...approach, based on total graph variation minimization, searches ... See full document
9
Annotating Abstract Meaning Representations for Spanish
... appears based on the assumption that we lack a simple readable se- mantic bank of natural language sentences “paired with their whole-sentence, logical meanings” (Banarescu et ...logical meaning of ... See full document
5
Machine Comprehension using Rich Semantic Representations
... hypothesis meaning representation graph after some post-processing (§ ...Similar processing is done for each sentence in the passage as ...sentence meaning representation graphs is ... See full document
7
Generating English from Abstract Meaning Representations
... We attack AMR-to-English generation using the tools of phrase-based machine translation (PBMT). PBMT has already been applied to natural lan- guage generation from simple semantic structures (Mairesse et al., ... See full document
5
Squib: Expressive Power of Abstract Meaning Representations
... Abstract meaning representation, based on the PENMAN notation and introduced in Langkilde and Knight (1998), has suddenly gained in popularity in computational linguistics (Artzi, Lee, and Zettlemoyer 2015; ... See full document
9
Parsing Meaning Representations: Is Easier Always Better?
... MR graph are not simply word tokens in the ...the meaning representation graph to the extent that is ...post- processing steps: (1) changing the AMR-style naming convention for named entities ... See full document
10
Learning Grounded Meaning Representations with Autoencoders
... respond to words and edges to cosine similarity scores between vectors representing their mean- ing. CW is a non-parametric model, it induces the number of clusters (i.e., categories) from the data as well as which nouns ... See full document
12
Broad Coverage Semantic Parsing as Transduction
... Validity Graph-based parsers like Dozat and Man- ning (2018); Zhang et ...builds meaning representations: at each decoding step, it takes a semantic relation as input, and has memory of ... See full document
13
A Discriminative Graph Based Parser for the Abstract Meaning Representation
... into meaning representa- tions. Abstract Meaning Representation (AMR) (Banarescu et ...the meaning of a sentence is encoded as a rooted, directed, acyclic ...AMR graph. The formalism is ... See full document
11
Semantic construction in F TAG
... As in our proposal, meaning repre- sentations are associated with elementary trees, va- riables are shared by the nodes of the elementary trees and the meaning representations and seman-[r] ... See full document
8
From HOPE en I’ESPERANCE On the Role of Computational Neurolinguistics in Cross Language Studies
... Through interconnections at a metalinguistic level, between recognized phonetic word representations, grammatical aspects of meaning, and specific referential meaning for disambiguated w[r] ... See full document
5
Design with meaning
... In developing meaning and significance in landscape designs, we must also relate to the modern context as well as to history and memory so that designed places can make a [r] ... See full document
19
Graph Analytics on Modern Graph Processing Systems.
... Comparison of CombBLAS and KDT Implementations the features of CombBLAS are also available in Knowledge Discovery Toolbox (KDT) [58]. KDT provides major distributed data structures such as sparse/dense matrix and vectors ... See full document
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