[PDF] Top 20 Problems With Evaluation of Word Embeddings Using Word Similarity Tasks
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Problems With Evaluation of Word Embeddings Using Word Similarity Tasks
... of tasks, these methods ensure that the obtained vec- tors are ...each word similarity dataset individually into tun- ing and test set and reported results on the test ...extrinsic evaluation ... See full document
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SWOW 8500: Word Association task for Intrinsic Evaluation of Word Embeddings
... We used intrinsic evaluations in the form of 13 word similarity tasks, provided by wordvec- tors.org (Faruqui and Dyer, 2014). For our pro- posed task SWOW-8500, and for a given pre- trained ... See full document
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Uncovering Divergent Linguistic Information in Word Embeddings with Lessons for Intrinsic and Extrinsic Evaluation
... of word vectors in a post-processing step, including neural embed- ding models that have superseded these traditional count-based models as we in fact do in this ...intrinsic evaluation of word ... See full document
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A Rank Based Similarity Metric for Word Embeddings
... little similarity about them), as opposed to ‘gen- uine’ semantic similarity ...the evaluation dataset. Moreover, researchers pointed out that similarity estimation alone does not constitute a ... See full document
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Geographical Evaluation of Word Embeddings
... random embeddings, each value is selected randomly from uniform distribution be- tween −1 and ...random embeddings are then evaluated in the same way as normal ...random embeddings. The comparison of ... See full document
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Evaluating Word Embeddings Using a Representative Suite of Practical Tasks
... intrinsic evaluation meth- ods, extrinsic evaluation remains the de-facto proving ground for novel word embedding meth- ods (Pennington et ...an evaluation methodol- ogy which is ... See full document
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Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction
... ing word similarity, we propose an alternative, pattern-based, approach to word ...capture similarity between words, we use Symmetric patterns (SPs), such as “X and Y” and “X as well as Y”, ... See full document
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Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks
... Abstract. Word embeddings have been found to provide meaningful represen- tations for words in an efficient way; therefore, they have become common in Natural Language Processing ...different word ... See full document
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Dual Embeddings and Metrics for Relational Similarity
... relational similarity between two word pairs plays important roles in natural language pro- cessing ...NLP tasks, such as query expansion, word sense disambiguation, machine translation, ... See full document
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An evaluation of Czech word embeddings
... sub- word information into embeddings (which is, among other, motivated by morphologically rich languages), models trained on lemmata perform better that their counterparts trained on ...forms. Tasks ... See full document
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What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties
... the tasks requir- ing the most sophisticated semantic knowledge, are those that positively correlate with the largest number of downstream tasks after ...modeling similarity judgments. TopConst and ... See full document
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SensEmbed: Learning Sense Embeddings for Word and Relational Similarity
... decompose word embeddings into multiple prototypes, each denot- ing a distinct meaning of the target ...computing word embeddings, this model replaces the original co-occurrence clues from ... See full document
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Community Evaluation and Exchange of Word Vectors at wordvectors org
... calculate similarity between a given pair of words by the cosine similarity between their corresponding vector ...NLP problems, the lexical semantics evalua- tion benchmarks for languages other than ... See full document
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Improving Word Alignment using Word Similarity
... processing tasks as ...jective evaluation for word similarity probabilities, but an automatic method would be ...the word similarity model, which can automatically be trained ... See full document
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Do Multi Sense Embeddings Improve Natural Language Understanding?
... fine-grained embeddings that represent more natural regions in semantic space could thus improve language ...that embeddings could model aspects of word sense (Kintsch, 2001) and recent research has ... See full document
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Methodical Evaluation of Arabic Word Embeddings
... two word pairs (a, b) and (c, d) from the same ...different word pairs from the same ...as word analogy questions to evaluate different word em- beddings as defined by Mikolov et ...A ... See full document
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Evaluation methods for unsupervised word embeddings
... predict word frequency categories based on word ...(1σ) using five-fold cross- validation at each threshold frequency in Figure ...All word embeddings do better than random, suggesting ... See full document
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Specializing Word Embeddings for Similarity or Relatedness
... of word embeddings is that they are “gen- eral purpose”: they can be used in a variety of tasks without ...our embeddings indicate that table is closely related to chair, that does not mean we ... See full document
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Cross lingual Models of Word Embeddings: An Empirical Comparison
... the word vector of e, according to the induced cross-lingual ...lingual similarity tasks, the more expensive the cross-lingual knowledge available, the ...Models using weak super- vision like ... See full document
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Querying Word Embeddings for Similarity and Relatedness
... for similarity and relatedness with a single vector representation for each word has led to the suggestion that distinct representations, and perhaps even distinct learn- ing models, are needed for optimal ... See full document
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