Vec2graph: A Python Library for Visualizing Word Embeddings as Graphs

Visualization as a means of easy conveyance of ideas plays a key role in communicating linguistic theory through its applications. User-friendly NLP visualization tools allow researchers to get important insights for building, challenging, proving or rejecting their hypotheses. At the same time, visualizations provide general public with some understanding of what computational linguists investigate.

[1]  Wolgang Wildgen From Lullus to Cognitive Semantics: The Evolution of a Theory of Semantic Fields , 1998 .

[2]  Yonatan Belinkov,et al.  Analysis Methods in Neural Language Processing: A Survey , 2018, TACL.

[3]  Simone Paolo Ponzetto,et al.  BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network , 2012, Artif. Intell..

[4]  Martin Wattenberg,et al.  How to Use t-SNE Effectively , 2016 .

[5]  Jeffrey Heer,et al.  SpanningAspectRatioBank Easing FunctionS ArrayIn ColorIn Date Interpolator MatrixInterpola NumObjecPointI Rectang ISchedu Parallel Pause Scheduler Sequen Transition Transitioner Transiti Tween Co DelimGraphMLCon IData JSONCon DataField DataSc Dat DataSource Data DataUtil DirtySprite LineS RectSprite , 2011 .

[6]  Yoshua Bengio,et al.  A Neural Probabilistic Language Model , 2003, J. Mach. Learn. Res..

[7]  Petr Sojka,et al.  Software Framework for Topic Modelling with Large Corpora , 2010 .

[8]  Jure Leskovec,et al.  Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora , 2016, EMNLP.

[9]  Jorge Cadima,et al.  Principal component analysis: a review and recent developments , 2016, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[10]  George A. Miller,et al.  WordNet: A Lexical Database for English , 1995, HLT.

[11]  Geoffrey E. Hinton,et al.  Visualizing Data using t-SNE , 2008 .

[12]  L. Verlet Computer "Experiments" on Classical Fluids. I. Thermodynamical Properties of Lennard-Jones Molecules , 1967 .

[13]  Andrey Kutuzov,et al.  WebVectors: A Toolkit for Building Web Interfaces for Vector Semantic Models , 2016, AIST.

[14]  Murhaf Fares,et al.  Word vectors, reuse, and replicability: Towards a community repository of large-text resources , 2017, NODALIDA.

[15]  Jeffrey Dean,et al.  Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.

[16]  Karl Pearson F.R.S. LIII. On lines and planes of closest fit to systems of points in space , 1901 .

[17]  H. Hotelling Analysis of a complex of statistical variables into principal components. , 1933 .