"He Said She Said" classification challenge (2nd edition)

Guess whether a text in Polish was written by a man or woman.

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[anonymised]   2018-02-13 21:16
submitted a solution:naive-bayes
[anonymised]   2018-02-13 20:14
submitted a solution:logistic-regression ready-made
[anonymised]   2018-02-12 23:45
submitted a solution:check
[anonymised]   2018-02-12 23:28
submitted a solution:check
[anonymised]   2018-02-12 23:23
submitted a solution:check
[anonymised]   2018-02-12 22:59
submitted a solution:check
[anonymised]   2018-02-06 23:17
submitted a solution:logistic-regression ready-made
[anonymised]   2018-02-06 22:59
submitted a solution:logistic-regression ready-made
[anonymised]   2018-02-06 22:33
submitted a solution:logistic-regression ready-made
[anonymised]   2018-02-06 22:06
submitted a solution:logistic-regression ready-made
[anonymised]   2018-02-06 21:09
submitted a solution:logistic-regression ready-made
[anonymised]   2018-02-06 21:05
submitted a solution:logistic-regression ready-made
[anonymised]   2018-02-06 21:01
submitted a solution:logistic-regression ready-made
[anonymised]   2018-02-06 20:46
submitted a solution:logistic-regression ready-made
[anonymised]   2018-02-06 20:41
submitted a solution:logistic-regression ready-made
Domagalsky   2018-01-30 19:34
submitted a solution:regr
Domagalsky   2018-01-30 19:31
submitted a solution:naibe bayss
Domagalsky   2018-01-30 19:26
submitted a solution:naibe bays
Domagalsky   2018-01-29 16:12
submitted a solution:regression ready make
Pawel Kozanowski   2018-01-19 08:25
submitted a solution:zadanie 008 z kodem programu v1.3
Pawel Kozanowski   2018-01-18 20:49
submitted a solution:zadanie 008 z kodem programu
[anonymised]   2018-01-14 14:00
submitted a solution:Add code Task 5.
Szymon Urbański   2018-01-13 20:28
submitted a solution:regresja logistyczna
Maciej Wanat   2018-01-09 12:59
submitted a solution:KenLM
[anonymised]   2018-01-08 17:50
submitted a solution:fix
[anonymised]   2018-01-08 17:29
submitted a solution:fix
[anonymised]   2018-01-07 18:48
submitted a solution:nb_ready
[anonymised]   2018-01-07 17:48
submitted a solution:logreg_ready
[anonymised]   2018-01-07 10:16
submitted a solution:logreg_ready
[anonymised]   2018-01-07 10:13
submitted a solution:logreg_ready
[anonymised]   2018-01-07 10:08
submitted a solution:solution1
Szymon Urbański   2018-01-06 12:30
submitted a solution:naive bayes przy uzyciu wektorow czestosci slow
kaczla   2018-01-04 19:25
submitted a solution:LSTM
kaczla   2018-01-04 19:12
submitted a solution:KenLM
s429416   2017-12-30 21:40
submitted a solution:Done self-made
s429416   2017-12-30 21:29
submitted a solution:Poprawilem zgodnosc linii
s429416   2017-12-29 08:48
submitted a solution:Gotowe
Szymon Urbański   2017-12-23 12:58
submitted a solution:naive bayes przegenerowano test-A/out.tsv dla wiekszego slownika czestosci slow
Szymon Urbański   2017-12-23 12:54
submitted a solution:naive bayes przegenerowano test-A/out.tsv dla wiekszego slownika czestosci slow
Szymon Urbański   2017-12-23 12:51
submitted a solution:naive bayes poprawiony out.tsv w test-A
Szymon Urbański   2017-12-23 12:43
submitted a solution:naive bayes
[anonymised]   2017-12-20 20:48
submitted a solution:correct path
[anonymised]   2017-12-20 20:46
submitted a solution:logistic-regression ready-made
deinonzch   2017-12-20 10:57
submitted a solution:my brilliant solution
Mieszko   2017-12-17 16:50
submitted a solution:Naive bayes
Mieszko   2017-12-17 16:41
submitted a solution:Naive bayes
[anonymised]   2017-12-17 15:44
submitted a solution:naive-bayes
[anonymised]   2017-12-17 15:33
submitted a solution:naive bayes
MSz   2017-12-16 13:18
submitted a solution:Logistic regression, ready-made
MSz   2017-12-16 12:08
submitted a solution:Naive Bayes
testowe3   2017-12-14 23:47
submitted a solution:test commit 2
testowe3   2017-12-14 23:43
submitted a solution:test commit 2
Paweł Skórzewski   2017-12-11 13:39
submitted a solution:Word2Vec + logistic regression (fix newlines)
Paweł Skórzewski   2017-12-11 13:10
submitted a solution:Word2Vec + logistic regression
Mieszko   2017-12-06 22:52
submitted a solution:TF-IDF - logistic regression
Mieszko   2017-12-06 22:46
submitted a solution:TF-IDF - logistic regression
Mieszko   2017-12-06 09:56
submitted a solution:Word2Vec on 200k words
Mieszko   2017-12-05 23:43
submitted a solution:Logistic word2vec
Mieszko   2017-12-05 23:30
submitted a solution:naive bayes with word2Vec
Mieszko   2017-12-05 23:03
submitted a solution:old fashioned word2vec
Mieszko   2017-12-05 22:56
submitted a solution:It being wasted
Mieszko   2017-12-05 22:37
submitted a solution:Bigger word2vec model
Mieszko   2017-12-05 20:33
submitted a solution:Test with bigger train model
Mieszko   2017-12-05 20:11
submitted a solution:Attempt with small train and trained word2Vec models
marlaz   2017-12-03 22:17
submitted a solution:Add working app.py file
Weronika   2017-12-03 21:43
submitted a solution:05 naive bayes v1
kaczla   2017-12-03 20:31
submitted a solution:Naive Bayes
[anonymised]   2017-12-03 19:32
submitted a solution:Logistic regression, ready-made
deinonzch   2017-12-03 18:39
submitted a solution:naive bayes
deinonzch   2017-12-03 18:34
submitted a solution:logistic regresion still M
deinonzch   2017-12-03 18:19
submitted a solution:logistic regresion
[anonymised]   2017-12-03 16:29
submitted a solution:lm
[anonymised]   2017-12-03 16:18
submitted a solution:Logistic regression
[anonymised]   2017-12-03 16:05
submitted a solution:test
[anonymised]   2017-12-03 14:13
submitted a solution:Naive Bayes
[anonymised]   2017-12-03 13:48
submitted a solution:LogReg
[anonymised]   2017-12-03 13:41
submitted a solution:LogReg
[anonymised]   2017-12-03 10:29
submitted a solution:Task 5.
[anonymised]   2017-12-03 01:59
submitted a solution:Naive Bayes
[anonymised]   2017-12-03 01:13
submitted a solution:Naive Bayes
MSz   2017-12-01 13:44
submitted a solution:Logistic regression, self-made
Mieszko   2017-11-30 23:11
submitted a solution:word2vec
[anonymised]   2017-11-30 20:23
submitted a solution:naive-bayes
[anonymised]   2017-11-30 19:51
submitted a solution:Logistic regression, self-made
[anonymised]   2017-11-30 19:49
submitted a solution:LogR readymade
[anonymised]   2017-11-30 18:01
submitted a solution:Logistic regression, self-made
Maciej Wanat   2017-11-30 12:37
submitted a solution:Naive bayes on text length
[anonymised]   2017-11-30 10:34
submitted a solution:G Naive-Bayes
Mieszko   2017-11-29 14:48
submitted a solution:Attempt with word2vec
[anonymised]   2017-11-26 23:38
submitted a solution:LR
Weronika   2017-11-26 23:17
submitted a solution:04b logistic regression ready-made v3
Weronika   2017-11-26 23:02
submitted a solution:04b logistic regression ready-made v2
[anonymised]   2017-11-26 22:40
submitted a solution:LR
[anonymised]   2017-11-26 22:35
submitted a solution:Task 4.
Mieszko   2017-11-26 22:34
submitted a solution:logistic regression from sklearn
[anonymised]   2017-11-26 21:36
submitted a solution:LR test
[anonymised]   2017-11-26 21:20
submitted a solution:Logistic regression
[anonymised]   2017-11-26 21:09
submitted a solution:Logistic regression
[anonymised]   2017-11-26 20:44
submitted a solution:logistic regression test
[anonymised]   2017-11-26 20:02
submitted a solution:Logistic regression self-made python, correct outs file
[anonymised]   2017-11-26 19:46
submitted a solution:Logisitc regression, self made, python
[anonymised]   2017-11-26 19:29
submitted a solution:Logistic regression python
deinonzch   2017-11-26 19:20
submitted a solution:my bad solution 2
deinonzch   2017-11-26 19:17
submitted a solution:my bad solution
[anonymised]   2017-11-25 19:29
submitted a solution:test
[anonymised]   2017-11-25 12:20
submitted a solution:Selfmade Logical Regression
Kinga Kramer   2017-11-24 19:32
submitted a solution:logistic regression
[anonymised]   2017-11-23 20:02
submitted a solution:Self made Logistic Regression
Maciej Wanat   2017-11-23 18:20
submitted a solution:Linear regression on length
Maciej Wanat   2017-11-23 18:10
submitted a solution:Logical regression on length
Maciej Wanat   2017-11-23 17:53
submitted a solution:Logical regression on length
Maciej Wanat   2017-11-23 17:30
submitted a solution:Logical regression on length
Maciej Wanat   2017-11-23 17:29
submitted a solution:Logical regression on length
Maciej Wanat   2017-11-23 17:28
submitted a solution:Logical regression on length
Maciej Wanat   2017-11-23 15:29
submitted a solution:Logical regression files
Maciej Wanat   2017-11-20 17:45
submitted a solution:Self made ngrams (ruby)
Maciej Wanat   2017-11-20 17:06
submitted a solution:Normalized by occurance
Maciej Wanat   2017-11-20 16:29
submitted a solution:Normalization optimalization
kaczla   2017-11-20 16:16
submitted a solution:Logistic regression
Maciej Wanat   2017-11-20 16:12
submitted a solution:Trained on entire train
Maciej Wanat   2017-11-20 15:56
submitted a solution:Remove trash
Maciej Wanat   2017-11-20 15:52
submitted a solution:Add build model time counter
Maciej Wanat   2017-11-20 15:48
submitted a solution:Code improvements
Maciej Wanat   2017-11-20 14:08
submitted a solution:Add helpers
Maciej Wanat   2017-11-19 23:28
submitted a solution:Scaled
Maciej Wanat   2017-11-19 23:22
submitted a solution:Self-made ngrams (ruby)
Maciej Wanat   2017-11-19 22:13
submitted a solution:Self-made ngrams (ruby)
Maciej Wanat   2017-11-19 21:42
submitted a solution:Scaled to 1000000
Maciej Wanat   2017-11-19 21:36
submitted a solution:Self made ngrams (ruby) scaled 1 to 10
Maciej Wanat   2017-11-19 21:22
submitted a solution:Add normalization (ruby ngrams)
Maciej Wanat   2017-11-19 20:53
submitted a solution:Self made ngrams (ruby)
Maciej Wanat   2017-11-19 20:47
submitted a solution:Self-made ngrams (ruby)
Maciej Wanat   2017-11-19 20:40
submitted a solution:Self made n-grams (ruby)
Maciej Wanat   2017-11-19 20:26
submitted a solution:Commiting splitter
Maciej Wanat   2017-11-19 20:23
submitted a solution:Self-made ngrams (ruby)
Maciej Wanat   2017-11-19 20:22
submitted a solution:Self-made ngrams (ruby)
Maciej Wanat   2017-11-19 16:31
submitted a solution:Self n-grams
Maciej Wanat   2017-11-19 01:32
submitted a solution:Self made ngrams
Maciej Wanat   2017-11-19 01:28
submitted a solution:Self made ngrams
Maciej Wanat   2017-11-19 01:27
submitted a solution:Self made ngrams
Maciej Wanat   2017-11-19 01:27
submitted a solution:Self made ngrams
Maciej Wanat   2017-11-19 01:25
submitted a solution:Self made ngrams (ruby)
Maciej Wanat   2017-11-13 17:27
submitted a solution:Ruby
Durson   2017-06-21 17:05
submitted a solution:keras, tragiczne parametry
tamazaki   2017-06-12 13:28
submitted a solution:prosty model jezyka, unix, vol8
tamazaki   2017-06-12 13:25
submitted a solution:prosty model jezyka, unix, vol6 - nowe ratio, test #7
tamazaki   2017-06-12 13:19
submitted a solution:prosty model jezyka, unix, vol6 - nowe ratio
tamazaki   2017-06-12 13:16
submitted a solution:prosty model jezyka, unix, vol6 - nowe ratio, test #4 (zakres)
tamazaki   2017-06-12 13:14
submitted a solution:prosty model jezyka, unix, vol6 - nowe ratio, test #3
tamazaki   2017-06-12 13:12
submitted a solution:prosty model jezyka, unix, vol6 - nowe ratio, test #2
tamazaki   2017-06-12 13:11
submitted a solution:prosty model jezyka, unix, vol6 - nowe ratio, test #1
tamazaki   2017-06-12 13:09
submitted a solution:prosty model jezyka, unix, vol6 - nowe ratio
tamazaki   2017-06-12 12:56
submitted a solution:prosty model jezyka, vol5, unix
tamazaki   2017-06-12 12:46
submitted a solution:prosty model jezyka, vol4, unix
germek   2017-06-12 12:46
submitted a solution:Bernoulli
tamazaki   2017-06-12 12:44
submitted a solution:prosty model jezyka, vol3, unix
tamazaki   2017-06-12 12:41
submitted a solution:prosty model jezyka, vol2, unix
tamazaki   2017-06-12 12:38
submitted a solution:prosty model jezyka, vol1, unix
germek   2017-06-12 09:31
submitted a solution:Naive Bayes - Bernoulli
tamazaki   2017-06-11 23:28
submitted a solution:prosty model jezyka v4
tamazaki   2017-06-11 23:20
submitted a solution:prosty model jezyka v3
tamazaki   2017-06-11 23:18
submitted a solution:prosty model jezyka v2
tamazaki   2017-06-11 23:13
submitted a solution:prosty model jezyka v1
p/tlen   2017-06-11 19:34
submitted a solution:CNN, embeddings with more dimensions
p/tlen   2017-06-11 05:26
submitted a solution:simple convolutional network
EmEm   2017-06-04 13:45
submitted a solution:lm
EmEm   2017-06-04 13:29
submitted a solution:lm
zp30615   2017-06-04 11:14
submitted a solution:em
kaczla   2017-05-29 04:25
submitted a solution:LSTM - remove one layer, simple lemmatizer
kaczla   2017-05-27 17:08
submitted a solution:LSTM - remove one layer, simple lemmatizer
kaczla   2017-05-25 19:55
submitted a solution:LSTM - decrease batch_size, 5 RNNs
kaczla   2017-05-24 18:04
submitted a solution:LSTM - decrease batch_size, 3 RNNs
kaczla   2017-05-23 05:32
submitted a solution:LSTM - remove one layer, 3 RNNs
kaczla   2017-05-19 04:25
submitted a solution:LSTM - remove one layer, decrease batch_size, epoch = 2
kaczla   2017-05-18 17:54
submitted a solution:LSTM - remove one layer, decrease batch_size, epoch = 3
kaczla   2017-05-16 10:23
submitted a solution:LSTM - epoch = 3
kaczla   2017-05-15 04:27
submitted a solution:LSTM - decrease batch_size
kaczla   2017-05-15 04:25
submitted a solution:LSTM - decrease batch_size
kaczla   2017-05-15 04:21
submitted a solution:LSTM - remove one layer
mmalisz   2017-05-14 22:05
submitted a solution:Bpe smalltrain
mmalisz   2017-05-14 22:02
submitted a solution:Keras smalltrain
kaczla   2017-05-14 15:48
submitted a solution:LSTM - remove one layer
siulkilulki   2017-05-11 20:01
submitted a solution:Trigram hard keywords that occured at least 13 times, when can't decide on hard keywords "F" is assigned, Answers based on hard keywords percentage: dev-0 6%, dev-1 7%, test-A 6%
siulkilulki   2017-05-11 19:54
submitted a solution:Trigram hard keywords that occured at least 13 times, when can't decide on hard keywords naive bayes is used, Answers based on hard keywords percentage: dev-0 6%, dev-1 7%, test-A 6%
siulkilulki   2017-05-11 16:56
submitted a solution:Bigram hard keywords that occured at least 17 times, when can't decide on hard keywords "F" is assigned, Based on hard keywords percentage: dev-0 12%, dev-1 13%, test-A 14%
siulkilulki   2017-05-11 16:42
submitted a solution:Bigram hard keywords that occured at least 17 times, when can't decide on hard keywords naive bayes is used, Based on hard keywords percentage: dev-0 12%, dev-1 13%, test-A 14%
siulkilulki   2017-05-11 14:40
submitted a solution:Bigram hard keywords that occured at least 5 times, when can't decide on hard keywords naive bayes is used, Based on hard keywords percantage: dev-0 59%, dev-1 57%, test-A 56%
siulkilulki   2017-05-11 13:13
submitted a solution:Bigram hard keywords that occured at least 5 times, when can't decide on hard keywords assings "F", Based on hard keywords percantage: dev-0 59%, dev-1 57%, test-A 56%
EmEm   2017-05-04 19:08
submitted a solution:1st try
siulkilulki   2017-04-28 17:45
submitted a solution:Hard keywords based solution ver 2. If can't decide based on hard keywords naive bayes is used. Percentage of answers based on keywords: dev-0 10%, dev-1 9%, test-A 8%. Only words with count 3 and bigger are considered in hard keyword based approach.
siulkilulki   2017-04-28 17:26
submitted a solution:Hard keywords based solution ver 1. If can't decide based on hard keywords naive bayes is used. Percentage of answers based on keywords: dev-0 22%, dev-1 19%, test-A 20%
p/tlen   2017-04-25 19:49
submitted a solution:5 RNNs combined
p/tlen   2017-04-24 05:36
submitted a solution:fasttext combined with KenLM
p/tlen   2017-04-23 17:02
submitted a solution:LSTM (by Nozdi)
p/tlen   2017-04-23 10:35
submitted a solution:fasttext word 2-ngrams, 10x buckets, character 3-6-ngrams
p/tlen   2017-04-23 08:15
submitted a solution:fasttext word 2-ngrams, 10x buckets, character 3-6-ngrams
p/tlen   2017-04-23 06:53
submitted a solution:fasttext word 2-ngrams, 10x buckets, character 3-6-ngrams
p/tlen   2017-04-22 20:26
submitted a solution:fasttext with word 2-grams and 10x buckets
p/tlen   2017-04-22 19:42
submitted a solution:fasttext with word 2-grams
p/tlen   2017-04-22 19:34
submitted a solution:fasttext (baseline)
kaczla   2017-04-15 16:18
submitted a solution:Vowpal Wabbit
kaczla   2017-04-10 13:26
submitted a solution:KenLM
kaczla   2017-04-10 13:07
submitted a solution:Vowpal Wabbit
zp30615   2017-04-04 15:19
submitted a solution:bayes with simple stemming fix
zp30615   2017-04-04 13:48
submitted a solution:bayes with simple stemming
zp30615   2017-04-03 21:08
submitted a solution:bayes tf-idf (classic)
zp30615   2017-04-03 20:54
submitted a solution:dev-0 tf-idf test (big change)
zp30615   2017-04-03 20:07
submitted a solution:dev-0 tf-idf test (small change)
zp30615   2017-04-01 17:45
submitted a solution:logistic regression 40 epoch
zp30615   2017-04-01 13:38
submitted a solution:dev-0 tf-idf test
kaczla   2017-03-31 21:52
submitted a solution:Vowpal Wabbit
zp30615   2017-03-31 17:30
submitted a solution:logistic regression 20 epoch
kaczla   2017-03-27 20:29
submitted a solution:Logistic regression
EmEm   2017-03-27 20:11
submitted a solution:logistic regression
zp30615   2017-03-27 18:29
submitted a solution:logistic regression 10 epoch
zp30615   2017-03-27 16:03
submitted a solution:logistic regression 1 epoch
germek   2017-03-27 13:21
submitted a solution:Regresja
germek   2017-03-27 13:20
submitted a solution:Regresja
germek   2017-03-27 13:19
submitted a solution:Regresja
germek   2017-03-27 13:14
submitted a solution:Regresja
Mario   2017-03-27 13:07
submitted a solution:reg logistyczna 10 epok - shuffle
siulkilulki   2017-03-27 11:08
submitted a solution:without feature engineering, Adaptive Moment Estimation, 49 epoch. discriminative better than generative
Mario   2017-03-27 10:32
submitted a solution:reg logistyczna 10 epok
Mario   2017-03-26 23:22
submitted a solution:reg logistyczna 1 epoka
Mario   2017-03-26 23:17
submitted a solution:reg logistyczna 1 epoka, mały zbiór uczący v2
Mario   2017-03-26 22:51
submitted a solution:reg logistyczna 1 epoka, mały zbiór uczący
siulkilulki   2017-03-23 08:23
submitted a solution:22 epoch, simple SGD with stupid annealing, need to make better SGD, without feature engineering
zp30615   2017-03-20 19:43
submitted a solution:Bernoulli Naive Bayes 1
antystenes   2017-03-20 16:28
submitted a solution:Logistic Haskell
zp30615   2017-03-16 17:27
submitted a solution:bayes + tf_idf
zp30615   2017-03-16 12:37
submitted a solution:corrected bayes
siulkilulki   2017-03-15 14:05
submitted a solution:sckit-learn naive bayes
antystenes   2017-03-13 08:36
submitted a solution:TurboHaskell 2010 v2
antystenes   2017-03-11 15:54
submitted a solution:TurboHaskell 2010
Durson   2017-03-11 03:25
submitted a solution:Test
Durson   2017-03-11 02:59
submitted a solution:Test
Durson   2017-03-11 02:15
submitted a solution:Test
Durson   2017-03-11 01:16
submitted a solution:Test
Durson   2017-03-11 00:44
submitted a solution:Test
Durson   2017-03-11 00:26
submitted a solution:Test
Durson   2017-03-11 00:19
submitted a solution:Test
Durson   2017-03-10 23:48
submitted a solution:Test
Durson   2017-03-09 17:44
submitted a solution:Test
Durson   2017-03-09 17:38
submitted a solution:Naive Bayes
Durson   2017-03-09 17:18
submitted a solution:Test
Durson   2017-03-09 17:03
submitted a solution:Yolo
Durson   2017-03-09 16:23
submitted a solution:Test
Durson   2017-03-09 16:16
submitted a solution:Test
Durson   2017-03-09 15:51
submitted a solution:Test
Durson   2017-03-09 15:24
submitted a solution:Test
Durson   2017-03-09 14:53
submitted a solution:Yolo
Durson   2017-03-09 14:33
submitted a solution:Test
antystenes   2017-03-07 02:31
submitted a solution:Haskell na resorach
p/tlen   2017-03-04 10:01
A propos problemu z liczbą wierszy... - http://re-research.pl/pl/post/2017-03-04-00050-anatomia-pliku-tekstowego-2b.html
mmalisz   2017-03-02 23:49
submitted a solution:I can see that I'll have to teach you how to be villains!
mmalisz   2017-03-02 23:35
submitted a solution:Throw it at him, not me!
mmalisz   2017-03-02 23:16
submitted a solution:Back to old corpora
mmalisz   2017-03-02 23:00
submitted a solution:Change of preprocessing
mmalisz   2017-03-02 21:48
submitted a solution:Próba raz dwa czy
Durson   2017-03-02 13:01
submitted a solution:Test
Durson   2017-03-02 12:22
submitted a solution:Yolo
Durson   2017-03-02 12:11
submitted a solution:Yolo
Durson   2017-03-02 12:08
submitted a solution:Yolo
mmalisz   2017-03-02 11:15
submitted a solution:Now look at this net that I just found; when I say go...
mmalisz   2017-03-02 10:54
submitted a solution:Now look at this net that I just found
mmalisz   2017-03-02 10:44
submitted a solution:Now look at this net
Durson   2017-03-02 08:19
submitted a solution:Yolo
Durson   2017-03-02 08:10
submitted a solution:Yolo
zp30615   2017-03-01 11:40
submitted a solution:bayes3
zp30615   2017-03-01 11:04
submitted a solution:bayes2
antystenes   2017-03-01 07:13
submitted a solution:Haskell
germek   2017-02-28 23:51
submitted a solution:something is no yes :X
germek   2017-02-28 22:42
submitted a solution:test
germek   2017-02-28 21:47
submitted a solution:something is no yes :X
zp30615   2017-02-28 21:37
submitted a solution:bayes1
zp30615   2017-02-28 21:13
submitted a solution:bayes solution1
siulkilulki   2017-02-28 19:32
submitted a solution:naiwen bajesen, changed equation
siulkilulki   2017-02-28 19:19
submitted a solution:naiwen bajesen
kaczla   2017-02-28 18:33
submitted a solution:Rozwiązanie
Mario   2017-02-28 17:06
submitted a solution:Rozwiązanie 3
Mario   2017-02-28 16:44
submitted a solution:Rozwiązanie 2
antystenes   2017-02-28 15:35
submitted a solution:Swag
Durson   2017-02-28 15:04
submitted a solution:Yolo
p/tlen   2017-02-28 11:24
Prosze wrzucać też wyniki dla dev-0 i dev-1.
Durson   2017-02-28 10:44
submitted a solution:Yolo
Mario   2017-02-27 23:17
submitted a solution:Rozwiązanie 1
Durson   2017-02-27 17:57
submitted a solution:First
Durson   2017-02-27 17:44
submitted a solution:First
Durson   2017-02-27 17:31
submitted a solution:First
[anonymised]   2017-02-27 17:28
First
[anonymised]   2017-02-27 17:22
submitted a solution:moje rozwiazanie 1
zp30615   2017-02-27 16:23
submitted a solution:regexPro
tamazaki   2017-02-27 16:21
submitted a solution:test
antystenes   2017-02-24 08:31
submitted a solution:Simple regexp solution
[anonymised]   2017-02-21 16:58
submitted a solution:test simple solution
p/tlen   2017-01-26 10:08
submitted a solution:KenLM + Vowpal Wabbit
Domagalsky   2017-01-08 20:31
submitted a solution:Punct split v2
Domagalsky   2017-01-08 15:16
submitted a solution:KenLM punctuation.split
Mieszko   2016-12-27 14:04
submitted a solution:Train LM 3 grams & tokenize
Mieszko   2016-12-27 14:00
submitted a solution:LM 4grams female
Mieszko   2016-12-27 13:55
submitted a solution:Train LM improvement
Mieszko   2016-12-27 13:46
submitted a solution:Train LM improvement
Mieszko   2016-12-27 10:22
submitted a solution:Kenml devs & train LM & remove punct
Mieszko   2016-12-27 10:17
submitted a solution:Kenml devs & train LM
Mieszko   2016-12-27 01:21
submitted a solution:2 w nocy -> wystarczy
Mieszko   2016-12-27 01:16
submitted a solution:2 w nocy -> wystarczy
Mieszko   2016-12-27 01:09
submitted a solution:kenml & dict v2
Mieszko   2016-12-27 00:57
submitted a solution:kenml & dict
Mieszko   2016-12-27 00:43
submitted a solution:kenml train LM
Mieszko   2016-12-27 00:39
submitted a solution:kenml v4
Mieszko   2016-12-27 00:32
submitted a solution:Kenml v3
Mieszko   2016-12-27 00:19
submitted a solution:Kenml v2
Mieszko   2016-12-27 00:04
submitted a solution:Kenml v2
Mieszko   2016-12-26 23:58
submitted a solution:Kenml v2
Mieszko   2016-12-26 23:54
submitted a solution:Kenml v2
Mieszko   2016-12-26 23:25
submitted a solution:Kenml v1
RafciX   2016-12-07 09:31
submitted a solution:sama
RafciX   2016-12-07 09:24
submitted a solution:v2
PioBec   2016-12-05 22:38
submitted a solution:extra rules, information about each rule accuracy
PioBec   2016-12-05 21:59
submitted a solution:silly mistake in adding stuff twice to out
PioBec   2016-12-05 21:50
submitted a solution:Dydlojn zaliczony?
Dominik Ziętkowski   2016-12-05 00:26
submitted a solution:Womendict ver.3
Dominik Ziętkowski   2016-12-05 00:03
submitted a solution:Womendict ver.2
Dominik Ziętkowski   2016-12-04 23:43
submitted a solution:Womendict ver.2
Dominik Ziętkowski   2016-12-03 23:50
submitted a solution:First submission - Womendict
Dominik Ziętkowski   2016-12-03 23:35
submitted a solution:First submission - Womendict
Dominik Ziętkowski   2016-12-03 23:32
submitted a solution:First submission - Womendict
KamilTrabka   2016-12-03 23:06
submitted a solution:proste rozwiazanie
Dominik Ziętkowski   2016-12-03 18:15
submitted a solution:First submission - Womendict
KamilTrabka   2016-12-01 12:40
submitted a solution:p3
KamilTrabka   2016-12-01 12:36
submitted a solution:2ga proba
KamilTrabka   2016-12-01 12:29
submitted a solution:pp
Martin   2016-12-01 02:45
submitted a solution:kenlm first attempt
Domagalsky   2016-11-30 14:38
submitted a solution:Poprawki w ./runD.py
Domagalsky   2016-11-30 13:49
submitted a solution:Push z plikami - wersja słownikowa
Domagalsky   2016-11-30 13:46
submitted a solution:Test plikow
Domagalsky   2016-11-30 10:32
submitted a solution:KenLM z Train'a*
Domagalsky   2016-11-30 10:30
submitted a solution:KenLM z Train'a
Mieszko   2016-11-30 10:28
submitted a solution:merged v2
Mieszko   2016-11-30 10:27
submitted a solution:merged v1
Mieszko   2016-11-30 10:26
submitted a solution:merged Mieszko & Maciej solution
RafciX   2016-11-30 09:28
submitted a solution:dict v1
Domagalsky   2016-11-30 09:26
submitted a solution:Słownik na Trainie
Maciej Wanat   2016-11-28 16:23
submitted a solution:Women - interpunction
Domagalsky   2016-11-28 08:57
submitted a solution:KenLM 3gram
Domagalsky   2016-11-28 07:57
submitted a solution:KenLM 1st Try
Domagalsky   2016-11-26 14:53
submitted a solution:Best On test-A**
Domagalsky   2016-11-26 14:48
submitted a solution:Best on test-A
Domagalsky   2016-11-26 14:35
submitted a solution:Best on devs
Domagalsky   2016-11-26 14:19
submitted a solution:_
Domagalsky   2016-11-26 13:25
submitted a solution:El Dictioannte finallo
Domagalsky   2016-11-26 12:40
submitted a solution:Dic v4 cleaning + tr improve
Domagalsky   2016-11-26 10:50
submitted a solution:Dic v3
Domagalsky   2016-11-25 19:33
submitted a solution:Dictionary version over 9000 small cleaning
Domagalsky   2016-11-25 19:02
submitted a solution:Dictionary version over 9000 dev-1
Domagalsky   2016-11-25 18:58
submitted a solution:Dictionary version over 9000
Maciej Wanat   2016-11-23 20:08
submitted a solution:Women dictionary v3
Maciej Wanat   2016-11-23 19:56
submitted a solution:Women dictionary v2
Maciej Wanat   2016-11-23 19:47
submitted a solution:Women dictionary
Maciej Wanat   2016-11-23 19:31
submitted a solution:Only men v3
Maciej Wanat   2016-11-23 17:41
submitted a solution:Only men - bigger dictionary
RafciX   2016-11-23 14:06
submitted a solution:words v1
Maciej Wanat   2016-11-22 23:15
submitted a solution:Dictionary - only women
Maciej Wanat   2016-11-22 23:07
submitted a solution:"First attempt - dictionary"
Maciej Wanat   2016-11-22 21:10
submitted a solution:test submition (all F)
Mieszko   2016-11-22 18:29
submitted a solution:female + male dict
Mieszko   2016-11-22 18:14
submitted a solution:male + female dict
Mieszko   2016-11-20 17:14
submitted a solution: add swears
Mieszko   2016-11-20 17:07
submitted a solution:add swears
Mieszko   2016-11-20 09:42
submitted a solution:dict v4
Mieszko   2016-11-19 23:15
submitted a solution:dict v3
Mieszko   2016-11-19 22:18
submitted a solution:improve dict v2
Mieszko   2016-11-19 22:13
submitted a solution:improve dict
Mieszko   2016-11-19 20:07
submitted a solution:Dictionary approach
p/tlen   2016-11-15 09:29
submitted a solution:trivial baseline (only female)