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Found 11 papers, 6 papers with code
The Search for Agreement on Logical Fallacy Annotation of an Infodemic
We evaluate an annotation schema for labeling logical fallacy types, originally developed for a crowd-sourcing annotation paradigm, now using an annotation paradigm of two trained linguist annotators.
Xposition: An Online Multilingual Database of Adpositional Semantics
We present Xposition, an online platform for documenting adpositional semantics across languages in terms of supersenses (Schneider et al., 2018).
DocAMR: Multi-Sentence AMR Representation and Evaluation
Despite extensive research on parsing of English sentences into Abstraction Meaning Representation (AMR) graphs, which are compared to gold graphs via the Smatch metric, full-document parsing into a unified graph representation lacks well-defined representation and evaluation.
Probabilistic, Structure-Aware Algorithms for Improved Variety, Accuracy, and Coverage of AMR Alignments
We present algorithms for aligning components of Abstract Meaning Representation (AMR) graphs to spans in English sentences.
Transition-based Parsing with Stack-Transformers
Modeling the parser state is key to good performance in transition-based parsing.
Ranked #15 on
AMR Parsing
on LDC2017T10
A Corpus of Adpositional Supersenses for Mandarin Chinese
Adpositions are frequent markers of semantic relations, but they are highly ambiguous and vary significantly from language to language.
An Improved Approach for Semantic Graph Composition with CCG
We define new semantics for the CCG combinators that is better suited to deriving AMR graphs.
Adpositional Supersenses for Mandarin Chinese
This study adapts Semantic Network of Adposition and Case Supersenses (SNACS) annotation to Mandarin Chinese and demonstrates that the same supersense categories are appropriate for Chinese adposition semantics.
Comprehensive Supersense Disambiguation of English Prepositions and Possessives
Semantic relations are often signaled with prepositional or possessive marking--but extreme polysemy bedevils their analysis and automatic interpretation.
Adposition and Case Supersenses v2.6: Guidelines for English
This document offers a detailed linguistic description of SNACS (Semantic Network of Adposition and Case Supersenses; Schneider et al., 2018), an inventory of 52 semantic labels ("supersenses") that characterize the use of adpositions and case markers at a somewhat coarse level of granularity, as demonstrated in the STREUSLE corpus (https://github. com/nert-nlp/streusle/ ; version 4. 5 tracks guidelines version 2. 6).
