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I think there may be a quirk in how the root is currently defined in triple form. Currently, the AMR
`(b / boy)` would read
```
root(b) ^ /* b is the focus of the sentence …
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Running the example docamr code below does not give `same-as` edges for coreference:
```
from transition_amr_parser.parse import AMRParser
# Download and save the docamr model to cache
parser …
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AMR files usually start with an id and the sentence before the actual PENMAN graph comes
```
# ::id any-ID-001.1
# ::snt the cat is sleeping
# ::save-date Sat Jul 20, 2024 ::file test_0001_2.txt…
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In order to use the old AMR preprocessing pipeline with AMR, the easiest solution would be to simply convert the MRP data to AMRBank format. Let's be good citizens and simply add code to do this to th…
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Idea:
* Parse templates into AMR Graphs
* Parse sentences from documents into AMR Graphs
* Search for similarities in the subgraphs
* If similarity between subgraph is above a certain threshold, w…
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I don't need this fixed, but maybe it's of interest:
I noticed that this smatch version returns a score of 1.00 for the different graphs:
```
(s / see-01
:ARG0 (p / person
:name …
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Hey Jeffrey.
I'm super interested semantically represented notes and I really like this project. Another project came to mind: [Abstract Meaning Representation](https://github.com/amrisi/amr-guidelin…
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Thanks for your sharing , it's really helpful.But could I know how to generate the semantic graphs based on my own dataset?thanks in advance!
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Initial Brainstorm Joe & Liz (Dec 1):
1. Utilizing strictly semantic similarity (PhraseBERT or SentenceBERT w/ interesting chunking)
2. Frame as LM paraphrasing task - if a sentence could be "para…
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Hi @beckdaniel ,
I would like to try to run the model. However, I can't do that using the README.md. I think I need the complete steps ( 2 Training models, 3 Decoding, postprocessing and evaluation…