5 papers
Measuring Fine-Grained Semantic Equivalence with Abstract Meaning Representation
Shira Wein, Zhuxin Wang, Nathan Schneider
Identifying semantically equivalent sentences is important for many cross-lingual and mono-lingual NLP tasks. Current approaches to semantic equivalence take a loose, sentence-leve…
Spanish Abstract Meaning Representation: Annotation of a General Corpus
Shira Wein, Lucia Donatelli, Ethan Ricker +3
The Abstract Meaning Representation (AMR) formalism, designed originally for English, has been adapted to a number of languages. We build on previous work proposing the annotation…
PASTRIE: A Corpus of Prepositions Annotated with Supersense Tags in Reddit International English
Michael Kranzlein, Emma Manning, Siyao Peng +4
We present the Prepositions Annotated with Supersense Tags in Reddit International English ("PASTRIE") corpus, a new dataset containing manually annotated preposition supersenses o…
Supersense and Sensibility: Proxy Tasks for Semantic Annotation of Prepositions
Luke Gessler, Shira Wein, Nathan Schneider
Prepositional supersense annotation is time-consuming and requires expert training. Here, we present two sensible methods for obtaining prepositional supersense annotations by elic…
A Human Evaluation of AMR-to-English Generation Systems
Emma Manning, Shira Wein, Nathan Schneider
Most current state-of-the art systems for generating English text from Abstract Meaning Representation (AMR) have been evaluated only using automated metrics, such as BLEU, which a…