streusle
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nert-nlp
STREUSLE: a corpus with comprehensive lexical semantic annotation (multiword expressions, supersenses)
Use this thread to make note of interesting constructions where a words-with-spaces MWE analysis is unsatisfying because there is constrained productivity in certain parts of the expression. `` `$`` makes...
Should be the_best (when predicative) and the_best_of_the_best? Lexcat=`ADJ`?
Hi! I'd like to build a system to predict each token's `lextag`---I think the evaluation script for this is `streusleval.py`? If so, it doesn't seem like it's part of the...
"as soon as" currently has "soon" as its obj, but since it is a strong MWE, its obj should be the obj of the second "as".
The following 30 construals are attested between 1 and 3 times in the data, but not documented in the current guidelines. Let's look at them to see which are worth...
See https://github.com/nert-gu/Xposition/issues/111#issue-343687470
E.g. "get/have something fixed", "get my hair done". For "get my hair done", should "get" be v.change and "done" be v.body? 76 instances of `VBN.*xcomp`, most of which are this...
We annotate MWEs where there are superfluous authorial spaces ("miss informed", "mean time"), but the lemma retains the space. The UD relation `goeswith` should be exploited to delete the space....
Ken Litkowski noticed that `PP` is erroneously the lexcat for *in hope to*, *just about*, and *nothing but*, which should be `P`. This is because the UPOS of the last...
In our annotation for the LREC paper @ablodge and I disagreed on some tokens. The guidelines have since been revised. We should go through the disagreements and adjudicate them.