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Found 16 papers, 9 papers with code
Anatomy of OntoGUM—Adapting GUM to the OntoNotes Scheme to Evaluate Robustness of SOTA Coreference Algorithms
SOTA coreference resolution produces increasingly impressive scores on the OntoNotes benchmark.
SPLICE: A Singleton-Enhanced PipeLIne for Coreference REsolution
We then propose a two-step neural mention and coreference resolution system, named SPLICE, and compare its performance to the end-to-end approach in two scenarios: the OntoNotes test set and the out-of-domain (OOD) OntoGUM corpus.
Can Large Language Models Understand Context?
Understanding context is key to understanding human language, an ability which Large Language Models (LLMs) have been increasingly seen to demonstrate to an impressive extent.
Incorporating Singletons and Mention-based Features in Coreference Resolution via Multi-task Learning for Better Generalization
Previous attempts to incorporate a mention detection step into end-to-end neural coreference resolution for English have been hampered by the lack of singleton mention span data as well as other entity information.
Ranked #1 on
Coreference Resolution
on OntoGUM
Fusing Sparsity with Deep Learning for Rotating Scatter Mask Gamma Imaging
Many nuclear safety applications need fast, portable, and accurate imagers to better locate radiation sources.
GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation
We evaluate state-of-the-art NLP systems on GENTLE and find severe degradation for at least some genres in their performance on all tasks, which indicates GENTLE's utility as an evaluation dataset for NLP systems.
Mixture Proportion Estimation Beyond Irreducibility
The task of mixture proportion estimation (MPE) is to estimate the weight of a component distribution in a mixture, given observations from both the component and mixture.
Findings of the Shared Task on Multilingual Coreference Resolution
The public edition of CorefUD 1. 0, which contains 13 datasets for 10 languages, was used as the source of training and evaluation data.
Anatomy of OntoGUM--Adapting GUM to the OntoNotes Scheme to Evaluate Robustness of SOTA Coreference Algorithms
SOTA coreference resolution produces increasingly impressive scores on the OntoNotes benchmark.
DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detection
This paper describes our submission to the DISRPT2021 Shared Task on Discourse Unit Segmentation, Connective Detection, and Relation Classification.
OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres
SOTA coreference resolution produces increasingly impressive scores on the OntoNotes benchmark.
Ranked #2 on
Coreference Resolution
on OntoGUM
AMALGUM -- A Free, Balanced, Multilayer English Web Corpus
We present a freely available, genre-balanced English web corpus totaling 4M tokens and featuring a large number of high-quality automatic annotation layers, including dependency trees, non-named entity annotations, coreference resolution, and discourse trees in Rhetorical Structure Theory.
A Corpus of Adpositional Supersenses for Mandarin Chinese
Adpositions are frequent markers of semantic relations, but they are highly ambiguous and vary significantly from language to language.
GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection
In this paper we present GumDrop, Georgetown University's entry at the DISRPT 2019 Shared Task on automatic discourse unit segmentation and connective detection.
Adpositional Supersenses for Mandarin Chinese
This study adapts Semantic Network of Adposition and Case Supersenses (SNACS) annotation to Mandarin Chinese and demonstrates that the same supersense categories are appropriate for Chinese adposition semantics.
