word representations
Co learning of Word Representations and Morpheme Representations
... distributed word representations (i.e., word embeddings) have been used to solve a variety of natural language processing ...learning word embeddings based on context information such that the ...
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Conceptor Debiasing of Word Representations Evaluated on WEAT
... The Word Embeddings Association Test (WEAT), as proposed by Caliskan et ...between word embeddings, which is analogous to the reaction time when sub- jects are asked to pair two concepts they find sim- ilar ...
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Robust Morphological Tagging with Word Representations
... domain-independent representations for ...important representations that can be used for this ...the word representations to Morphological Analyzers (MAs), which are finite-state transducers ...
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Learning Bilingual Word Representations by Marginalizing Alignments
... alize word representations using t-SNE projec- tions (van der Maaten and Hinton, ...English word given translation ...related representations for words chair and rat- spr¨asidentschaft ...
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Embedding Semantic Relations into Word Representations
... learn word representations as a by- product, the main focus on language modeling is to predict the next word in a sentence given the previous words, and not on learning word ...
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Semantic Frame Identification with Distributed Word Representations
... We present a novel technique for semantic frame identification using distributed rep- resentations of predicates and their syntac- tic context; this technique leverages auto- matic syntactic parses and a generic set of ...
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Enhanced Word Representations for Bridging Anaphora Resolution
... recently, word embeddings gain a lot pop- ularity in NLP community because they reflect hu- man intuitions about semantic similarity and re- ...Most word representation models ex- plore the distributional ...
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Learning Topic Sensitive Word Representations
... Word representations in the form of dense vec- tors, or word embeddings, capture semantic and syntactic information (Mikolov et ...per word and do not distinguish between different meanings of ...
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Bilingual Word Representations with Monolingual Quality in Mind
... of word representations monolin- ...learn word representations from scratch that utilizes both the con- text coocurrence information through the monolingual component and the meaning ...
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Tailoring Continuous Word Representations for Dependency Parsing
... Word representations derived from unlabeled text have proven useful for many NLP tasks, ...Most word representa- tions fall into one of two ...tinuous representations (or distributed ...
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Word Ordering as Unsupervised Learning Towards Syntactically Plausible Word Representations
... plausible word representations with- out using human ...that word order- ing tests, or linearizations, is suitable for learning syntactic knowledge about ...called Word Ordering Network (WON) ...
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Improving Word Representations via Global Context and Multiple Word Prototypes
... Unsupervised word representations are very useful in NLP tasks both as inputs to learning algorithms and as extra word features in NLP ...learns word embeddings that better capture the se- ...
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Learning Word Representations from Relational Graphs
... better word representations by considering the semantic relations that exist among words? More importantly whether word rep- resentations learnt by considering the semantic relations among words ...
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Polyglot: Distributed Word Representations for Multilingual NLP
... Distributed word representations (word embeddings) have recently contributed to competitive performance in language modeling and several NLP ...train word embeddings for more than 100 ...
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Linguistic Regularities in Continuous Space Word Representations
... space word representations. We have shown that the word representations learned by a RNNLM do an especially good job in capturing these ...
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A Structural Probe for Finding Syntax in Word Representations
... ized representations of language continue to pro- vide gains on NLP benchmarks, understanding what they learn is increasingly ...which representations of language en- code particular knowledge of interest, ...
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Segmentation of Argumentative Texts with Contextualised Word Representations
... In order to approach our research questions we have used the second version of the Argument An- notated Essay Corpus (Stab, 2017), a collection of 402 essays, which has been manually anno- tated with major claims (one ...
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Contextualized Word Representations for Reading Comprehension
... contextualized word representations from a large pre-trained language model as well as allowing the model to choose between context- dependent and context-independent word rep- resentations, we can ...
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Improved Word Sense Disambiguation Using Pre Trained Contextualized Word Representations
... Contextualized word representations are able to give different representations for the same word in different contexts, and they have been shown to be effective in downstream natu- ral ...
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Gating Mechanisms for Combining Character and Word level Word Representations: an Empirical Study
... and word-level word representa- tions, obtaining overall better results than using only word-level ...created word representations by adding the vector representa- tions of the words’ ...
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