research
∙
05/11/2023
Think Twice: Measuring the Efficiency of Eliminating Prediction Shortcuts of Question Answering Models
While the Large Language Models (LLMs) dominate a majority of language u...
share
research
∙
04/04/2023
Resources and Few-shot Learners for In-context Learning in Slavic Languages
Despite the rapid recent progress in creating accurate and compact in-co...
research
∙
11/29/2022
Soft Alignment Objectives for Robust Adaptation in Machine Translation
Domain adaptation allows generative language models to address specific ...
research
∙
06/14/2022
Interpretable Gait Recognition by Granger Causality
Which joint interactions in the human gait cycle can be used as biometri...
research
∙
03/08/2022
Adapt𝒪r: Objective-Centric Adaptation Framework for Language Models
Progress in natural language processing research is catalyzed by the pos...
research
∙
10/08/2021
Towards Math-Aware Automated Classification and Similarity Search of Scientific Publications: Methods of Mathematical Content Representations
In this paper, we investigate mathematical content representations suita...
research
∙
09/15/2021
Regressive Ensemble for Machine Translation Quality Evaluation
This work introduces a simple regressive ensemble for evaluating machine...
research
∙
06/01/2021
WebMIaS on Docker: Deploying Math-Aware Search in a Single Line of Code
Math informational retrieval (MIR) search engines are absent in the wide...
research
∙
04/19/2021
When FastText Pays Attention: Efficient Estimation of Word Representations using Constrained Positional Weighting
Since the seminal work of Mikolov et al. (2013a) and Bojanowski et al. (...
research
∙
02/27/2021
EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses
Several language applications often require word semantics as a core par...
research
∙
02/04/2021
One Size Does Not Fit All: Finding the Optimal N-gram Sizes for FastText Models across Languages
Unsupervised word representation learning from large corpora is badly ne...
research
∙
03/10/2020
Text classification with word embedding regularization and soft similarity measure
Since the seminal work of Mikolov et al., word embeddings have become th...
research
∙
08/28/2018
MIaS: Math-Aware Retrieval in Digital Mathematical Libraries
Digital mathematical libraries (DMLs) such as arXiv, Numdam, and EuDML c...
research
∙
08/24/2017
Gait Recognition from Motion Capture Data
Gait recognition from motion capture data, as a pattern classification d...
research
∙
06/28/2017
You Are How You Walk: Uncooperative MoCap Gait Identification for Video Surveillance with Incomplete and Noisy Data
This work offers a design of a video surveillance system based on a soft...
research
∙
01/04/2017
An Evaluation Framework and Database for MoCap-Based Gait Recognition Methods
As a contribution to reproducible research, this paper presents a framew...
research
∙
09/22/2016
Walker-Independent Features for Gait Recognition from Motion Capture Data
MoCap-based human identification, as a pattern recognition discipline, c...
research
∙
09/14/2016