[PDF] Top 20 Linguistic Regularities in Continuous Space Word Representations
Has 10000 "Linguistic Regularities in Continuous Space Word Representations" found on our website. Below are the top 20 most common "Linguistic Regularities in Continuous Space Word Representations".
Linguistic Regularities in Continuous Space Word Representations
... Continuous space language models have re- cently demonstrated outstanding results across a variety of ...vector-space word representations that are implicitly learned by the input-layer ... See full document
6
Deriving Adjectival Scales from Continuous Space Word Representations
... Table 3 compares our results with previous ones where adjectival scales are considered: de Marn- effe et al. (2010) propose an unsupervised approach where scales are learned from distributional infor- mation in a Web ... See full document
6
Continuous Space Representations of Linguistic Typology and their Application to Phylogenetic Inference
... categorical representations, the mixtures of two languages form a deep valley ...the continuous space representations al- low a language to change into another without harm- ing typological ... See full document
11
Continuous N gram Representations for Authorship Attribution
... Beside being effective indicators of an author’s writing style, both content words and character n-grams are also straightforward to extract from documents and are therefore widely used for au- thor attribution. More ... See full document
7
Embedding a Semantic Network in a Word Space
... using continuous- space vector representations of word meaning to derive new vectors representing the mean- ing of senses listed in a semantic ...of word vector represen- ... See full document
6
Gradual Learning of Matrix Space Models of Language for Sentiment Analysis
... learning word and phrase represen- tations and ways to compose the constituents are ...vector representations of words are trained through continuous bag-of-words and skip-gram ... See full document
8
Financial Keyword Expansion via Continuous Word Vector Representations
... These representations have recently demonstrated promising results across variety of tasks (Schwenk, 2007; Collobert and Weston, 2008; Glorot et ...semantic regularities in language. In this paper, we apply ... See full document
6
Correlation based Intrinsic Evaluation of Word Vector Representations
... Being linguistically opaque, vector-space rep- resentations of words—word embeddings—have limited practical value as standalone items. They are effective, however, in representing meaning— through ... See full document
5
Analogs of Linguistic Structure in Deep Representations
... rep(¬e)—in other words, how often the linear operator N actually corresponds to logical nega- tion. Results are shown in the top portion of Ta- ble 2. Correspondence with the logical form is quite high, resulting in 97% ... See full document
5
Linguistic Regularities in Sparse and Explicit Word Representations
... Many of these features are names of people or places, which appear rarely in our corpus (e.g. Adeliza, a historical queen, and Nzinga, a royal family) but are nonetheless highly indicative of the shared concept. The ... See full document
10
Morpho syntactic Regularities in Continuous Word Representations: A multilingual study
... Mikolov et al. (2013b) demonstrate that vector rep- resentations of words obtained from a neural net- work language model provide a way of capturing both semantic and syntactic regularities in language. They ... See full document
6
Linguistic Knowledge and Transferability of Contextual Representations
... In contemporaneous work, Tenney et al. (2019) evaluate CoVe (McCann et al., 2017), ELMo (Pe- ters et al., 2018a), the OpenAI Transformer (Rad- ford et al., 2018), and BERT (Devlin et al., 2018) on a variety of ... See full document
22
Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering
... The results are presented in Table 1 and show that our method (SNCut) consistently performs best across both ratings – valence and arousal – and across all three languages. For English and Spanish, the larger margins of ... See full document
8
PCFG Models of Linguistic Tree Representations
... The approach developed here overcomes this problem by applying an additional tree transformation step that converts the parse trees produced using the PCFG back to the Penn II tree repre[r] ... See full document
20
Word Recognition from Continuous Articulatory Movement Time series Data using Symbolic Representations
... obtained word recognition accuracies less than 50% [13] because articulation can vary significantly within those categorical features depending on the surrounding sounds and the speaking context ... See full document
9
Nominal and verbal person marking
... The investigation is aimed at determining whether there are any evident cross-linguistic regularities with regard to the identity of the verbal argument which exhibits formal affiniti[r] ... See full document
11
Squibs and Discussions: The DOP Estimation Method is Biased and Inconsistent
... Bias and inconsistency are usually defined for parametric estimation procedures in terms that are not quite appropriate for evaluating the DOP estimation procedure, but their standard definitions (see Shao [1999] for a ... See full document
6
Contextualized Diachronic Word Representations
... Bernoulli word embeddings, that are con- ditioned on contextual extra-linguistic (social) features such as network, spatial and socio- economic variables, which are associated with Twitter users, as well as ... See full document
13
Counter fitting Word Vectors to Linguistic Constraints
... rephrasings of that value. The optimal value of t was determined using a grid search: we generated a dictionary and trained a model for each potential t, then evaluated on the development set. Table 6 shows the ... See full document
7
RETRACTED ARTICLE: A sharp Trudinger type inequality for harmonic functions and its applications
... δ (k) (P) and δ (k) (P) functions were in the so-called Orlicz space, i.e., their exponential pow- ers were integrable functions. Precisely, Ruf established the Trudinger inequality (see [, Theorem .]). ... See full document
9
Related subjects