6 papers
Multilingual Coreference Resolution via Cycle-Consistent Machine Translation
Adriana-Valentina Costache, Eduard Poesina, Silviu-Florin Gheorghe +2
Coreference resolution is a core NLP task, having a broad range of downstream applications, e.g.~machine translation, question answering, document summarization, etc. While the tas…
VQPP: Video Query Performance Prediction Benchmark
Adrian Catalin Lutu, Eduard Poesina, Radu Tudor Ionescu
Query performance prediction (QPP) is an important and actively studied information retrieval task, having various applications, such as query reformulation, query expansion, and r…
MOSLD-Bench: Multilingual Open-Set Learning and Discovery Benchmark for Text Categorization
Adriana-Valentina Costache, Daria-Nicoleta Dragomir, Silviu-Florin Gheorghe +3
Open-set learning and discovery (OSLD) is a challenging machine learning task in which samples from new (unknown) classes can appear at test time. It can be seen as a generalizatio…
Text Classification Under Class Distribution Shift: A Survey
Adriana Valentina Costache, Silviu Florin Gheorghe, Eduard Gabriel Poesina +2
The basic underlying assumption of machine learning (ML) models is that the training and test data are sampled from the same distribution. However, in daily practice, this assumpti…
PQPP: A Joint Benchmark for Text-to-Image Prompt and Query Performance Prediction
Eduard Poesina, Adriana Valentina Costache, Adrian-Gabriel Chifu +2
Text-to-image generation has recently emerged as a viable alternative to text-to-image retrieval, driven by the visually impressive results of generative diffusion models. Although…
A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus
Eduard Poesina, Cornelia Caragea, Radu Tudor Ionescu
Natural language inference (NLI), the task of recognizing the entailment relationship in sentence pairs, is an actively studied topic serving as a proxy for natural language unders…