Merge branch 'master' of https://gitlab.fi.muni.cz/xstefan3/arqmath-eval

task1-votes/ayetiran/LEGEND.md

+The [Formula2Vec system][scm-at-arqmath] recogizes the following parameters:
+
+- Dataset:
+  - arxmliv, 08, 2019, no-problem – the no\_problem subset (150,701 documents) of [the arXMLiv 08.2019 dataset][arxmliv-08-2019]
+  - phrases – how many times [collocation detection][] and bigram merging are iteratively applied to the corpus:
+    - 0 – the text and math tokens in the corpus are unchanged,
+    - N –  [collocation detection][] and bigram merging are iteratively applied to both text and math tokens in the corpus N times
+- Math representation:
+  - opt – paths in operator tree
+  - slt – paths in syntax layout tree
+  - infix – nodes in operator tree in infix notation
+  - prefix – nodes in operator tree in prefix notation
+  - latex – untokenized LaTeX formulae
+  - nomath – no math formulae
+- Doc2Vec:
+  - alpha – initial learning rate
+  - min-alpha – minimum learning rate
+  - dm – whether the distributed memory architecture is used instead of the distributed bag of words
+  - dm-concat – whether the concatenation of context vectors is used instead of sum/average
+  - hs – whether hierarchical softmax is used instead of softmax
+  - min-count – the minimum term frequency
+  - vector-size – vector dimensions
+  - window – window size
+  - workers – the number of threads used for [hogwild][]
+  - epochs – the number of epochs
+
+ [arxmliv-08-2019]: https://sigmathling.kwarc.info/resources/arxmliv-dataset-082019/
+ [collocation detection]: https://radimrehurek.com/gensim/models/phrases.html
+ [hogwild]: https://papers.nips.cc/paper/4390-hogwild-a-lock-free-approach-to-parallelizing-stochastic-gradient-descent
+ [scm-at-arqmath]: https://gitlab.fi.muni.cz/xnovot32/scm-at-arqmath (Soft Cosine Measure at ARQMath)

task1-votes/ayetiran/README.md

@@ -4,4 +4,38 @@ underscores (`_`) replaced with a comma and a space for improved readability.
 
 | nDCG | Result name |
 |------|:------------|
+| 0.7580 | prefix, phrases=2, alpha=0.05, dm=1, dm-concat=1, epochs=5, hs=1, min-alpha=0, min-count=5, vector-size=400, window=4, workers=64 |
 | *0.7578* | *random* |
+
+## Legend
+
+The [Formula2Vec system][scm-at-arqmath] recogizes the following parameters:
+
+- Dataset:
+  - arxmliv, 08, 2019, no-problem – the no\_problem subset (150,701 documents) of [the arXMLiv 08.2019 dataset][arxmliv-08-2019]
+  - phrases – how many times [collocation detection][] and bigram merging are iteratively applied to the corpus:
+    - 0 – the text and math tokens in the corpus are unchanged,
+    - N –  [collocation detection][] and bigram merging are iteratively applied to both text and math tokens in the corpus N times
+- Math representation:
+  - opt – paths in operator tree
+  - slt – paths in syntax layout tree
+  - infix – nodes in operator tree in infix notation
+  - prefix – nodes in operator tree in prefix notation
+  - latex – untokenized LaTeX formulae
+  - nomath – no math formulae
+- Doc2Vec:
+  - alpha – initial learning rate
+  - min-alpha – minimum learning rate
+  - dm – whether the distributed memory architecture is used instead of the distributed bag of words
+  - dm-concat – whether the concatenation of context vectors is used instead of sum/average
+  - hs – whether hierarchical softmax is used instead of softmax
+  - min-count – the minimum term frequency
+  - vector-size – vector dimensions
+  - window – window size
+  - workers – the number of threads used for [hogwild][]
+  - epochs – the number of epochs
+
+ [arxmliv-08-2019]: https://sigmathling.kwarc.info/resources/arxmliv-dataset-082019/
+ [collocation detection]: https://radimrehurek.com/gensim/models/phrases.html
+ [hogwild]: https://papers.nips.cc/paper/4390-hogwild-a-lock-free-approach-to-parallelizing-stochastic-gradient-descent
+ [scm-at-arqmath]: https://gitlab.fi.muni.cz/xnovot32/scm-at-arqmath (Soft Cosine Measure at ARQMath)