[PDF] Top 20 Evaluating the Underlying Gender Bias in Contextualized Word Embeddings
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Evaluating the Underlying Gender Bias in Contextualized Word Embeddings
... While gender bias has been studied, detected and partially addressed for standard word embed- dings techniques (Bolukbasi et ...of contextualized word ...of gender biases in ... See full document
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Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings
... The BioSemantics patent corpus (Akhondi et al., 2014) consists of 200 full chemical patent documents with 9 different entity classes. In par- ticular, this corpus has 170K sentences and and 360K entity annotations, which ... See full document
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The Role of Protected Class Word Lists in Bias Identification of Contextualized Word Representations
... that contextualized word embeddings are very rich, so while one might think the union of the contextualized word representations of man / woman and boy / girl would yield a good ... See full document
7
Gender Bias in Pretrained Swedish Embeddings
... Swedish word “rik” ...produce contextualized em- beddings both for individual words (such as names or places) and for texts (such as company descrip- ... See full document
9
Measuring Bias in Contextualized Word Representations
... Contextualized embeddings such as BERT (De- vlin et ...existing bias-exposure methods for contextualized ...sentence embeddings of ELMo and BERT, but there was no clear indica- tion of ... See full document
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A Transparent Framework for Evaluating Unintended Demographic Bias in Word Embeddings
... Word embeddings have established themselves as an integral part of Natural Language Processing (NLP) ...Unfortunately word embed- dings have also introduced unintended biases that could cause ... See full document
6
Examining Gender Bias in Languages with Grammatical Gender
... quantify bias in English Embedding definitions for gender bias in English word ...quantifying bias in English em- bedding, McCurdy and Serbeti (2017) examine grammatical gender ... See full document
9
Gender Bias in Contextualized Word Embeddings
... two bias mitigation approaches we ...mitigating bias in the corefer- ence resolution system with ELMo (reducing | Diff | to insignificant levels) but requires retraining the ...remove gender ... See full document
6
Using Word Embeddings to Examine Gender Bias in Dutch Newspapers, 1950 1990
... examines bias related to gender in six Dutch national newspapers between 1950 and ...measure bias related to gender by comparing local changes in word embed- ding models trained on ... See full document
6
Measuring Gender Bias in Word Embeddings across Domains and Discovering New Gender Bias Word Categories
... In word embeddings, words are represented in a continuous vector space where semantically sim- ilar words are mapped to nearby points (Gold- berg, 2017, ...The underlying assump- tion is that words ... See full document
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Evaluating bilingual word embeddings on the long tail
... (ii) a seed lexicon of frequent word-pairs, the goal is to create BWEs that enable accurate mining of rare words. As gold standard data, we release manually annotated pairs of rare words and their translations ... See full document
6
Debiasing Embeddings for Reduced Gender Bias in Text Classification
... trained word embeddings can inherit gender bias from the data they were trained ...this bias affects downstream classification tasks, using the case study of occupation classification ... See full document
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Evaluating word embeddings with fMRI and eye tracking
... a word is defined by its usage, ...Learning word representations from in- verted indexings of Wikipedia is encoding a sit- uational lexical semantics, albeit in a somewhat simplistic ...our ... See full document
6
What Does This Word Mean? Explaining Contextualized Embeddings with Natural Language Definition
... target word and its con- ...the contextualized word embedding space to the definition embed- ding ...exposure bias problem (Ran- zato et ... See full document
7
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance
... from contextualized represen- tations and Word Mover’s Distance (WMD; Kus- ner et ...the word frequency distri- bution of the system text to that of the reference, which is essential to capture the ... See full document
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Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit Segmentation
... Attention mechanisms have long been utilized in deep neural networks. Some of its roots are in the salient region detection for the processing of images (Itti et al., 1998), which takes inspiration from human perception. ... See full document
9
Evaluating Gender Bias in Machine Translation
... annotated with ground truth entity gender. Sec- ond, similar to any medium size test set, it is clear that WinoMT serves only as a proxy estimation for the phenomenon of gender bias, and would prob- ... See full document
6
UU TAILS at MEDIQA 2019: Learning Textual Entailment in the Medical Domain
... that embeddings acquired from language models such as ELMO and BERT, were the sec- ond best performing with minimal accuracy dif- ...sentence embeddings for task ... See full document
7
Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks
... between embeddings obtained from Brazilian and Eu- ropean Portuguese texts, [Fonseca and Aluisio 2016] present an extrinsic analysis on POS ...which embeddings are obtained, the ... See full document
10
Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource
... created embeddings for the 50,000 most fre- quent words, experimenting with window sizes of 5 and 10, and shift constants of 1, 5 and ...Polyglot embeddings (Al-Rfou et ...of embeddings for ... See full document
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