Papers Embeddings Evaluation
“Embeddings Evaluation” 태그가 달린 논문 17편 · 필터 해제
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models
Vision-Language Models (VLMs) learn joint representations by mapping images and text into a shared latent space. However, recent research highlights that deterministic embeddings from standard VLMs often struggle to capt…
Active Learningcross-modal alignmentCross-Modal RetrievalEmbeddings Evaluation+3TWLV-I: Analysis and Insights from Holistic Evaluation on Video Foundation Models
In this work, we discuss evaluating video foundation models in a fair and robust manner. Unlike language or image foundation models, many video foundation models are evaluated with differing parameters (such as sampling …
Action RecognitionEmbeddings EvaluationThis is not correct! Negation-aware Evaluation of Language Generation Systems
Large language models underestimate the impact of negations on how much they change the meaning of a sentence. Therefore, learned evaluation metrics based on these models are insensitive to negations. In this paper, we p…
Embeddings EvaluationNegationSentenceText GenerationCollection Space Navigator: An Interactive Visualization Interface for Multidimensional Datasets
We introduce the Collection Space Navigator (CSN), a browser-based visualization tool to explore, research, and curate large collections of visual digital artifacts that are associated with multidimensional data, such as…
Data VisualizationDimensionality ReductionEmbeddings EvaluationGender bias Evaluation in Luganda-English Machine Translation
We have seen significant growth in the area of building Natural Language Processing (NLP) tools for African languages. However, the evaluation of gender bias in the machine translation systems for African languages is no…
Embeddings EvaluationFairnessMachine TranslationTransfer Learning+2Embeddings Evaluation Using a Novel Measure of Semantic Similarity
Lexical taxonomies and distributional representations are largely used to support a wide range of NLP applications, including semantic similarity measurements. Recently, several scholars have proposed new approaches to c…
Embeddings EvaluationSemantic SimilaritySemantic Textual SimilarityWord EmbeddingsAutomated PII Extraction from Social Media for Raising Privacy Awareness: A Deep Transfer Learning Approach
Internet users have been exposing an increasing amount of Personally Identifiable Information (PII) on social media. Such exposed PII can cause severe losses to the users, and informing users of their PII exposure is cru…
Embeddings EvaluationFeature EngineeringTransfer LearningWord EmbeddingsBenchmarking Meta-embeddings: What Works and What Does Not
In the last few years, several methods have been proposed to build meta-embeddings. The general aim was to obtain new representations integrating complementary knowledge from different source pre-trained embeddings there…
BenchmarkingEmbeddings EvaluationCategorizing Items with Short and Noisy Descriptions using Ensembled Transferred Embeddings
Item categorization is a machine learning task which aims at classifying e-commerce items, typically represented by textual attributes, to their most suitable category from a predefined set of categories. An accurate ite…
Embeddings EvaluationExpert Concept-Modeling Ground Truth Construction for Word Embeddings Evaluation in Concept-Focused Domains
We present a novel, domain expert-controlled, replicable procedure for the construction of concept-modeling ground truths with the aim of evaluating the application of word embeddings. In particular, our method is design…
Embeddings EvaluationPhilosophyWord EmbeddingsCogniFNN: A Fuzzy Neural Network Framework for Cognitive Word Embedding Evaluation
Word embeddings can reflect the semantic representations, and the embedding qualities can be comprehensively evaluated with human natural reading-related cognitive data sources. In this paper, we proposed the CogniFNN fr…
EEGElectroencephalogram (EEG)Embeddings EvaluationWord EmbeddingsSART - Similarity, Analogies, and Relatedness for Tatar Language: New Benchmark Datasets for Word Embeddings Evaluation
There is a huge imbalance between languages currently spoken and corresponding resources to study them. Most of the attention naturally goes to the "big" languages: those which have the largest presence in terms of media…
Embeddings EvaluationLanguage ModelingLanguage ModellingWord EmbeddingsThe Limitations of Cross-language Word Embeddings Evaluation
The aim of this work is to explore the possible limitations of existing methods of cross-language word embeddings evaluation, addressing the lack of correlation between intrinsic and extrinsic cross-language evaluation m…
Embeddings EvaluationWord EmbeddingsTowards Qualitative Word Embeddings Evaluation: Measuring Neighbors Variation
We propose a method to study the variation lying between different word embeddings models trained with different parameters. We explore the variation between models trained with only one varying parameter by observing th…
Embeddings EvaluationNamed Entity Recognition (NER)Part-Of-Speech TaggingWord EmbeddingsCan Eye Movement Data Be Used As Ground Truth For Word Embeddings Evaluation?
In recent years a certain success in the task of modeling lexical semantics was obtained with distributional semantic models. Nevertheless, the scientific community is still unaware what is the most reliable evaluation m…
Embeddings EvaluationSentenceWord EmbeddingsWord SimilarityA Survey of Word Embeddings Evaluation Methods
Word embeddings are real-valued word representations able to capture lexical semantics and trained on natural language corpora. Models proposing these representations have gained popularity in the recent years, but the i…
Embeddings EvaluationSurveyWord EmbeddingsJapanese Lexical Simplification for Non-Native Speakers
This paper introduces Japanese lexical simplification. Japanese lexical simplification is the task of replacing difficult words in a given sentence to produce a new sentence with simple words without changing the origina…
Embeddings EvaluationLanguage ModelingLanguage ModellingLexical Simplification+5