id
related bits
0
processing priority
3
site type
5 (wiki-type site, growing by topic rather than chronologically)
review version
11
html import
20 (imported)
first seen date
2024-02-19 05:14:56
expired found date
-
created at
2024-06-01 09:46:54
updated at
2025-12-26 07:58:39
length
21
crc
63349
tld
86
nm parts
0
nm random digits
0
nm rare letters
0
is subdomain of id
87719371 (github.io)
previous id
0
replaced with id
0
related id
-
dns primary id
0
dns alternative id
0
lifecycle status
0 (unclassified, or currently active)
deleted subdomains
0
page imported products
0
page imported random
0
page imported parking
0
count skipped due to recent timeouts on the same server IP
0
count content received but rejected due to 11-799
0
count dns errors
0
count cert errors
0
count timeouts
0
count http 429
0
count http 404
0
count http 403
0
count http 5xx
0
next operation date
-
server bits
—
server ip
-
mp import status
20
mp rejected date
-
mp saved date
-
mp size orig
4902
mp size raw text
1718
mp inner links count
4
mp inner links status
20 (imported)
title
The Third Workshop on Evaluating Vector Space Representations for NLP
description
The Third Workshop on Evaluating Vector Space Representations for NLP
image
site name
RepEval2019
author
updated
2025-12-13 22:45:47
raw text
The Third Workshop on Evaluating Vector Space Representations for NLP | RepEval2019 RepEval2019 The Third Workshop on Evaluating Vector Space Representations for NLP June 6th 2019, Minneapolis (USA) (co-located with NAACL) About Call for papers Program People The Third Workshop on Evaluating Vector Space Representations for NLP General-purpose dense word embeddings have come a long way since the beginning of their boom in 2013, and they are still the most widely used way of representing words in both industrial and academic NLP systems. However, the issue of intrinsic metrics that are predictive of performance on downstream tasks, and can help to develop better representations, is far from being solved. At the sentence level and above, we now have a number of probing tasks and large extrinsic evaluation datasets targeting high-level verbal reasoning, but there is still much to learn about what features make a compositional representation successful. Last bu...
redirect type
0 (-)
block type
0 (no issues)
detected language
1 (English)
category id
index version
2025110801
spam phrases
0
text nonlatin
0
text cyrillic
0
text characters
1403
text words
253
text unique words
156
text lines
12
text sentences
7
text paragraphs
2
text words per sentence
36
text matched phrases
1
text matched dictionaries
2
links self subdomains
0
links other subdomains
0
links other domains
0
links spam adult
0
links spam random
0
links spam expired
0
links ext activities
0
links ext ecommerce
0
links ext finance
0
links ext crypto
0
links ext booking
0
links ext news
0
links ext leaks
0
links ext ugc
2
links ext klim
0
links ext generic
0
dol status
0
dol updated
2025-12-13 22:45:47
rss path
rss status
3 (priority 3 already searched, no matches found)
rss found date
-
rss size orig
0
rss items
0
rss spam phrases
0
rss detected language
0 (awaiting analysis)
inbefore feed id
-
inbefore status
0 (new)
sitemap path
sitemap status
1 (priority 1 already searched, no matches found)
sitemap review version
1
sitemap urls count
0
sitemap urls adult
0
sitemap filtered products
0
sitemap filtered videos
0
sitemap found date
-
sitemap process date
-
sitemap first import date
-
sitemap last import date
-