arxmliv-embeddings-082017.md

layout: page
title: arXMLiv 08.2017 - Word Embeddings; Token Model

Part of the arXMLiv project at the KWARC research group

Author

• Deyan Ginev

Release

• This page documents: 08.2017
• Latest: 08.2019

Accessibility and License

The content of this Dataset is licensed to SIGMathLing members for research and tool development purposes.

Access is restricted to SIGMathLing members under the SIGMathLing Non-Disclosure-Agreement as for most arXiv articles, the right of distribution was only given (or assumed) to arXiv itself.

Contents

• A 5 billion token model for the arXMLiv 08.2017 dataset
  • token_model.zip
• 300 dimensional GloVe word embeddings for the arXMLiv 08.2017 dataset
  • glove.arxmliv.5B.300d.zip and vocab.arxmliv.zip
• 300d GloVe word embeddings for individual subsets
  • glove.subsets.zip
• the main arXMLiv dataset is available separately here

Token Model Statistics

subset	documents	paragraphs	sentences
no_problem	112,088	3,760,015	17,684,762
warning	574,638	35,215,866	144,166,524
error	401,644	28,555,173	111,798,273
complete	1,088,370	67,531,054	273,649,559

subset	words	formulas	inline cite	numeric literals
no_problem	355,253,671	17,020,161	2,991,053	9,913,009
warning	2,514,340,590	219,167,820	20,163,304	65,294,846
error	1,946,207,151	169,247,016	14,458,082	51,730,645
complete	4,815,801,412	405,434,997	37,612,439	126,938,500

GloVe Model Statistics

subset	tokens	unique words	unique words (freq 5+ )
no_problem	384,951,086	490,134	170,615
warning	2,817,734,902	1,200,887	422,524
error	2,180,119,361	1,889,392	518,609
complete	5,382,805,349	2,573,974	746,673

Citing this Resource

Please cite the main dataset when using the word embeddings, as they are generated and distributed jointly. Instructions here

Download

Download link (SIGMathLing members only)

Generated via

• llamapun 0.1,
• GloVe 1.2

Generation Parameters

• token model distributed as 3 subsets - no_problem, warning and error. complete model is derived via:

    cat token_model_no_problem.txt \
        token_model_warning.txt \
        token_model_error.txt > token_model_complete.txt

• llamapun v0.1, corpus_token_model example used for token model extraction

  • used llamapun math-aware sentence and word tokenization
  • processed logical paragraphs only (excluded non-textual modalities, e.g. tables, figures and their captions, bibliographies)
  • marked up formulas replaced with mathformula token
  • marked up inline citations replaced with citationelement token
  • numeric literals replaced with NUM token
  • ignored sentences with unnaturally long words (>30 characters) - almost always due to latexml conversion errors

• GloVe repository at sha 76507

  • build/vocab_count -min-count 5
  • build/cooccur -memory 32.0 -window-size 15
  • build/shuffle -memory 32.0
  • build/glove -threads 16 -x-max 100 -iter 25 -vector-size 300 -binary 2

Examples and baselines

GloVe in-built evaluation (non-expert tasks e.g. language, relationships, geography)

1. no_problem

• Total accuracy: 26.49% (3665/13833)
• Highest score: "gram3-comparative.txt", 75.83% (1010/1332)

2. warning

• Total accuracy: 31.16% (4989/16013)
• Highest score: "gram3-comparative.txt", 75.45% (1005/1332)

3. error

• Total accuracy: 29.63% (4997/16867)
• Highest score: "gram3-comparative.txt", 76.58% (1020/1332)

4. complete

• Total accuracy: 32.86% (5770/17562)
• Highest score: "gram3-comparative.txt", 78.53% (1046/1332)

5. demo baseline: text8 demo (first 100M characters of Wikipedia)

• Total accuracy: 23.91% (4262/17827)
• Highest score: "capital-common-countries.txt", 62.65% (317/506)

Evaluation note: These in-built evlauation runs are provided as a sanity check that the generated GloVe models pass a basic baseline against the non-expert tasks in the default GloVe suite. One would need a scienctific discourse tailored set of test cases to evaluate the arXiv-based models competitively.

Measuring word analogy

In a cloned GloVe repository, start via:

python eval/python/word_analogy.py --vocab_file vocab.arxmliv.txt --vectors_file glove.arxmliv.5B.300d.txt

1. abelian is to group as disjoint is to ?

• Top hit: union, cosine distance 0.644784

2. convex is to concave as positive is to ?

• Top hit: negative, cosine distance 0.802866

3. finite is to infinite as abelian is to ?

• Top hit: nonabelian, cosine distance 0.664235

4. quantum is to classical as bottom is to ?

• Top hit: top, cosine distance 0.719843

5. eq is to proves as figure is to ?

• Top hit: shows, cosine distance 0.674743

Nearest word vectors

In a cloned GloVe repository, start via:

python eval/python/distance.py --vocab_file vocab.arxmliv.txt --vectors_file glove.arxmliv.5B.300d.txt

1. lattice

   Word: lattice  Position in vocabulary: 311
   
                                  Word   Cosine distance
   
   -----------------------------------------------------
   
                              lattices		0.811057
   
                             honeycomb		0.657262
   
                                finite		0.625146
   
                            triangular		0.608218
   
                               spacing		0.605435

2. entanglement

   Word: entanglement  Position in vocabulary: 1293
   
                                  Word   Cosine distance
   
   -----------------------------------------------------
   
                             entangled		0.763964
   
                          multipartite		0.730231
   
                              fidelity		0.653443
   
                           concurrence		0.652454
   
                         environemtnal		0.646705
   
                            negativity		0.646165
   
                               quantum		0.639032
   
                               discord		0.624222
   
                           nonlocality		0.610661
   
                            tripartite		0.609896

3. forgetful

   Word: forgetful  Position in vocabulary: 10697
   
                                  Word   Cosine distance
   
   -----------------------------------------------------
   
                               functor		0.723019
   
                              functors		0.653969
   
                              morphism		0.626222

4. eigenvalue

   Word: eigenvalue  Position in vocabulary: 1212
   
                                  Word   Cosine distance
   
   -----------------------------------------------------
   
                           eigenvalues		0.878527
   
                           eigenvector		0.766371
   
                         eigenfunction		0.761923
   
                          eigenvectors		0.747451
   
                        eigenfunctions		0.707346
   
                            eigenspace		0.661539
   
                         corresponding		0.629746
   
                             laplacian		0.627187
   
                              operator		0.627130
   
                                 eigen		0.620933

5. riemannian

   Word: riemannian  Position in vocabulary: 2026
   
                                  Word   Cosine distance
   
   -----------------------------------------------------
   
                              manifold		0.766196
   
                             manifolds		0.745785
   
                                metric		0.714120
   
                             curvature		0.672975
   
                               metrics		0.670006
   
                               finsler		0.665079
   
                                 ricci		0.657058
   
                             euclidean		0.650198
   
                               endowed		0.626307
   
                            riemmanian		0.621626
   
                             riemanian		0.618022