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Found 20 papers, 9 papers with code
Findings of the VarDial Evaluation Campaign 2022
This report presents the results of the shared tasks organized as part of the VarDial Evaluation Campaign 2022.
Data-Augmentation-Based Dialectal Adaptation for LLMs
We propose an approach that combines the strengths of different types of language models and leverages data augmentation techniques to improve task performance on three South Slavic dialects: Chakavian, Cherkano, and Torlak.
An Efficient Approach for Studying Cross-Lingual Transfer in Multilingual Language Models
The capacity and effectiveness of pre-trained multilingual models (MLMs) for zero-shot cross-lingual transfer is well established.
DIALECTBENCH: A NLP Benchmark for Dialects, Varieties, and Closely-Related Languages
This allows for a comprehensive evaluation of NLP system performance on different language varieties.
To token or not to token: A Comparative Study of Text Representations for Cross-Lingual Transfer
To understand the downstream implications of text representation choices, we perform a comparative analysis on language models having diverse text representation modalities including 2 segmentation-based models (\texttt{BERT}, \texttt{mBERT}), 1 image-based model (\texttt{PIXEL}), and 1 character-level model (\texttt{CANINE}).
Multilingual Text Representation
Modern NLP breakthrough includes large multilingual models capable of performing tasks across more than 100 languages.
Investigation on Machine Learning Based Approaches for Estimating the Critical Temperature of Superconductors
To bridge the gap, numerous machine learning techniques have been established to estimate critical temperatures as it is extremely challenging to determine.
GlobalBench: A Benchmark for Global Progress in Natural Language Processing
Despite the major advances in NLP, significant disparities in NLP system performance across languages still exist.
GMNLP at SemEval-2023 Task 12: Sentiment Analysis with Phylogeny-Based Adapters
This report describes GMU's sentiment analysis system for the SemEval-2023 shared task AfriSenti-SemEval.
Geographic and Geopolitical Biases of Language Models
Pretrained language models (PLMs) often fail to fairly represent target users from certain world regions because of the under-representation of those regions in training datasets.
Phylogeny-Inspired Adaptation of Multilingual Models to New Languages
Large pretrained multilingual models, trained on dozens of languages, have delivered promising results due to cross-lingual learning capabilities on variety of language tasks.
Survival Prediction of Children Undergoing Hematopoietic Stem Cell Transplantation Using Different Machine Learning Classifiers by Performing Chi-squared Test and Hyper-parameter Optimization: A Retrospective Analysis
A synthetic dataset is generated by imputing the missing values, transforming the data using dummy variable encoding, and compressing the dataset from 59 features to the 11 most correlated features using Chi-squared feature selection.
Dataset Geography: Mapping Language Data to Language Users
As language technologies become more ubiquitous, there are increasing efforts towards expanding the language diversity and coverage of natural language processing (NLP) systems.
Learning Cooperation and Online Planning Through Simulation and Graph Convolutional Network
Against this background, we introduce a simulation based online planning algorithm, that we call SiCLOP, for multi-agent cooperative environments.
SD-QA: Spoken Dialectal Question Answering for the Real World
Question answering (QA) systems are now available through numerous commercial applications for a wide variety of domains, serving millions of users that interact with them via speech interfaces.
Investigating Post-pretraining Representation Alignment for Cross-Lingual Question Answering
Human knowledge is collectively encoded in the roughly 6500 languages spoken around the world, but it is not distributed equally across languages.
Design, Simulation and Feasibility Analysis of Bifacial Solar PV System in Marine Drive Road, Cox's Bazar
A model road of 200 meters is reconnoitered for energy harvesting by solar power using three prominent software namely PVSOL, PVsyst, and SAM where a promising mean annual yield of 70492. 9 kWh is obtained, and the bifacial gain is calculated to be 12. 26%.
Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors
Automated source code summarization is a popular software engineering research topic wherein machine translation models are employed to "translate" code snippets into relevant natural language descriptions.
Mining Temporal Evolution of Knowledge Graph and Genealogical Features for Literature-based Discovery Prediction
Existing techniques from Information Retrieval and Natural Language Processing attempt to identify the hidden or unpublished connections between information concepts within published literature, however, these techniques undermine the concept of predicting the future and emerging relations among scientific knowledge components encapsulated within the literature.
Disease Identification From Unstructured User Input
A method to identify probable diseases from the unstructured textual input (eg, health forum posts) by incorporating a lexicographic and semantic feature based two-phase text classification module and a symptom-disease correlation-based similarity measurement module.
