PURE | NAACL'2021 : A Frustratingly Easy Approach for Entity | Natural Language Processing library
kandi X-RAY | PURE Summary
kandi X-RAY | PURE Summary
In this work, we present a simple approach for entity and relation extraction. Our approach contains three conponents:. Please find more details of this work in our paper.
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Top functions reviewed by kandi - BETA
- Runs the BERT model
- Get input tensors
- Construct input tensors
- Evaluate the model
- Compute f1 and recall
- Safe division
- Analyze relation coverage
- Return True if two sentences overlap
- Compute the forward layer
- Get span embeddings
- Print the JSON representation of the prediction
- Decode a sample ID
- Helper function to output the prediction results
- Run the BERT model
- Compute the predictions for each prediction
- Evaluate a single sentence
- Save a trained model
- Adds markers to the vocabulary
- Construct a label map from label_list
- Set random seed
- Get features from file
- Batch a list of sentences
- Convert examples to features
- Generate relation data
- Convert a dataset to a list of samples
- Returns a set of matches that match the given argument type
PURE Key Features
PURE Examples and Code Snippets
def find_pure_symbols(
clauses: list[Clause], symbols: list[str], model: dict[str, bool | None]
) -> tuple[list[str], dict[str, bool | None]]:
"""
Return pure symbols and their values to satisfy clause.
Pure symbols are symbols in
public static Integer[] addElementUsingPureJava(Integer[] srcArray, int elementToAdd) {
Integer[] destArray = new Integer[srcArray.length + 1];
for (int i = 0; i < srcArray.length; i++) {
destArray[i] = srcArray[i];
Community Discussions
Trending Discussions on PURE
QUESTION
Below is the code. I understand applicative, functor, traversable and monad to a certain extent. The iterator and yield types, and yield functions are what I struggle understanding the most. For example, what are i o r in Iterator and i o r a in Yield? what does traverseY do exactly and what do the signatures mean? and How Monad Cont is applied here also confuses me a lot. Thank you for reading, any input would be appreciated.
...ANSWER
Answered 2022-Mar-27 at 09:13An Iterator i o r
represents a process that repeatedly takes a value of type i
and outputs a value of type o
, eventually breaking the iteration after one of the i
s by returning a r
instead. E.g.
QUESTION
This is valid syntax in GHC 9. What do the {..}
mean (as distinct from (..)
which GHC 8.10 requires here)?
ANSWER
Answered 2022-Feb-04 at 00:08See 6.4.14.1. Inferred vs. specified type variables:
Since the 9.0.1 release, GHC permits labelling the user-written type or kind variables as inferred, in contrast to the default of specified. By writing the type variable binder in braces as
{tyvar}
or{tyvar :: kind}
, the new variable will be classified as inferred, not specified.
..
is a specified type{..}
is an inferred type
forall a.
and forall {a}.
are invisible quantifiers that GHC will instantiate automatically by unification.
QUESTION
I'm writing web pages in markdown and converting them to HTML using md2html
tool. I want to process the output HTML file and find any youtube link like this:
https://www.youtube.com/watch?v=abcdefgh887
and replace it with the embed code:
I toyed around a little with Grammars, mostly to get familiar with them, but concluded this probably isn't the ideal tool for the job. Plus I'd prefer to use existing modules that are easily adaptable to other similar tasks rather than roll my own half-baked solution.
Perl5 has some good tools for this kind of thing but I'd like to use a pure Raku solution so I can learn more Raku.
Any recommendations for good approaches to this problem?
...ANSWER
Answered 2022-Jan-28 at 20:31I tried to answer your question without knowing an example.
You need to extract youtubeId from A tag and then replace A tag into iframe tag.
pseudo code is:
QUESTION
I have a very simple snippet:
...ANSWER
Answered 2022-Jan-28 at 18:58Use pure
from Control.Functor.Linear instead, as well as the IO
from System.IO.Linear, because contents of Prelude
are simply not declared as linear.
Note that this even simpler example does not compile too:
QUESTION
I'm having trouble understanding how/why parentheses work where they otherwise should not work®.
...ANSWER
Answered 2022-Jan-09 at 16:14Note: When referring to documentation and source code, I provide links to an unofficial GitHub mirror of R's official Subversion repository. The links are bound to commit 97b6424 in the GitHub repo, which maps to revision 81461
in the Subversion repo (the latest at the time of this edit).
substitute
is a "special" whose arguments are not evaluated (doc).
QUESTION
I am working with WSL a lot lately because I need some native UNIX tools (and emulators aren't good enough). I noticed that the speed difference when working with NPM/Yarn is incredible.
I conducted a simple test that confirmed my feelings. The test was running npx create-react-app my-test-app
and the WSL result was Done in 287.56s.
while GitBash finished with Done in 10.46s.
.
This is not the whole picture, because the perceived time was higher in both cases, but even based on that - there is a big issue somewhere. I just don't know where. The project I'm working on uses tens of libraries and changing even one of them takes minutes instead of seconds.
Is this something that I can fix? If so - where to look for clues?
Additional info:
my processor: Processor AMD Ryzen 7 5800H with Radeon Graphics, 3201 Mhz, 8 Core(s), 16 Logical Processors
I'm running Windows 11 with all the latest updates to both the system and the WSL. The chosen system is Ubuntu 20.04
I've seen some questions that are somewhat similar like 'npm install' extremely slow on Windows, but they don't touch WSL at all (and my pure Windows NPM works fast).
the issue is not limited to NPM, it's also for Yarn
another problem that I'm getting is that file watching is not happening (I need to restart the server with every change). In some applications I don't get any errors, sometimes I get the following:
...
ANSWER
Answered 2021-Aug-29 at 15:40Since you mention executing the same files (with proper performance) from within Git Bash, I'm going to make an assumption here. Correct me if I'm wrong on this, and I'll delete the answer and look for another possibility.
This would be explained (and expected) if your files are stored on /mnt/c
(a.k.a. C:
, or /C
under Git Bash) or any other Windows drive, as they would likely need to be to be accessed by Git Bash.
WSL2 uses the 9P protocol to access Windows drives, and it is currently known to be very slow when compared to:
- Native NTFS (obviously)
- The ext4 filesystem on the virtual disk used by WSL2
- And even the performance of WSL1 with Windows drives
I've seen a git clone
of a large repo (the WSL2 Linux kernel Github) take 8 minutes on WSL2 on a Windows drive, but only seconds on the root filesystem.
Two possibilities:
If possible (and it is for most Node projects), convert your WSL to version 1 with
wsl --set-version 1
. I always recommend making a backup withwsl --export
first.And since you are making a backup anyway, you may as well just create a copy of the instance by
wsl --import
ing your backup as--version 1
(as the last argument). WSL1 and WSL2 both have their uses, and you may find it helpful to keep both around.See this answer for more details on the exact syntax..
Or just move the project over to somewhere under the WSL root, such as
/home/username/src/
.
QUESTION
Originally this is a problem coming up in mathematica.SE, but since multiple programming languages have involved in the discussion, I think it's better to rephrase it a bit and post it here.
In short, michalkvasnicka found that in the following MATLAB sample
...ANSWER
Answered 2021-Dec-30 at 12:23tic
/toc
should be fine, but it looks like the timing is being skewed by memory pre-allocation.
I can reproduce similar timings to your MATLAB example, however
On first run (
clear
workspace)- Loop approach takes 2.08 sec
- Vectorised approach takes 1.04 sec
- Vectorisation saves 50% execution time
On second run (workspace not cleared)
- Loop approach takes 2.55 sec
- Vectorised approach takes 0.065 sec
- Vectorisation "saves" 97.5% execution time
My guess would be that since the loop approach explicitly creates a new matrix via zeros
, the memory is reallocated from scratch on every run and you don't see the speed improvement on subsequent runs.
However, when HH
remains in memory and the HH=___
line outputs a matrix of the same size, I suspect MATLAB is doing some clever memory allocation to speed up the operation.
We can prove this theory with the following test:
QUESTION
I have the following code:
...ANSWER
Answered 2022-Jan-01 at 07:32Given x.f(1.01);
, the name f
is found in the scope of class Sub
, then name lookup stops; the scope of Abs
won't be examined. Only Sub::f
is put in overload set and then overload resolution is performed.
... name lookup examines the scopes as described below, until it finds at least one declaration of any kind, at which time the lookup stops and no further scopes are examined.
You can use using
to introduce the names of Abs
into Sub
, then Abs::f
could be found and take part in overload resolution too.
QUESTION
I have this code:
...ANSWER
Answered 2021-Sep-14 at 09:35On the documentations is it stated that only AlertDialog supports Composable functions and that is the reason you are unable to see the preview.
You can check more details here.
QUESTION
I've got a very simple FormRequest
class in a Laravel project. Two methods, both of which return a simple array that's partially populated by a method, but the IDE treats them differently.
ANSWER
Answered 2021-Oct-06 at 17:41If a function only depends on other pure functions, then it is also pure. Since getPhoneNumberRules()
just returns a fixed array, it's pure, so rules()
is also pure.
But messages()
calls getPhoneNumberMessage()
, which calls the __()
function that can return a different localized message if the location state changes, so it's not pure.
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Our experiments are based on three datasets: ACE04, ACE05, and SciERC. Please find the links and pre-processing below:.
ACE04/ACE05: We use the preprocessing code from DyGIE repo. Please follow the instructions to preprocess the ACE05 and ACE04 datasets.
SciERC: The preprocessed SciERC dataset can be downloaded in their project website.
The following commands can be used to download the preprocessed SciERC dataset and run our pre-trained models on SciERC.
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