1 citations · 1 across the 3 of their papers we have counts for
4 papers
Predicting Causal Effects from Natural Language Queries using Structured Representations
Giuliano Martinelli, Piriyakorn Piriyatamwong, Abelardo Carlos Martinez Lorenzo +7
Randomized controlled trials are a cornerstone of medicine and the social sciences as they enable reliable estimates of causal effects. However, they are costly and time-consuming…
Interpretable Coreference Resolution Evaluation Using Explicit Semantics
Bruno Gatti, Giuliano Martinelli, Roberto Navigli
Coreference resolution is typically evaluated using aggregate statistical metrics such as CoNLL-F1, which measure structural overlap between predicted and gold clusters. While wide…
BOOKCOREF: Coreference Resolution at Book Scale
Giuliano Martinelli, Tommaso Bonomo, Pere-Lluís Huguet Cabot +1
Coreference Resolution systems are typically evaluated on benchmarks containing small- to medium-scale documents. When it comes to evaluating long texts, however, existing benchmar…
Maverick: Efficient and Accurate Coreference Resolution Defying Recent Trends
Giuliano Martinelli, Edoardo Barba, Roberto Navigli
Large autoregressive generative models have emerged as the cornerstone for achieving the highest performance across several Natural Language Processing tasks. However, the urge to…