Tuning Deep Active Learning for Semantic Role Labeling

no code implementations • IWCS (ACL) 2021 • Skatje Myers, Martha Palmer

Active learning has been shown to reduce annotation requirements for numerous natural language processing tasks, including semantic role labeling (SRL).

Active Learning Semantic Role Labeling +1

PropBank Comes of Age—Larger, Smarter, and more Diverse

no code implementations • *SEM (NAACL) 2022 • Sameer Pradhan, Julia Bonn, Skatje Myers, Kathryn Conger, Tim O’Gorman, James Gung, Kristin Wright-Bettner, Martha Palmer

This paper describes the evolution of the PropBank approach to semantic role labeling over the last two decades.

Semantic Role Labeling

Fine-grained Information Extraction from Biomedical Literature based on Knowledge-enriched Abstract Meaning Representation

no code implementations • ACL 2021 • Zixuan Zhang, Nikolaus Parulian, Heng Ji, Ahmed Elsayed, Skatje Myers, Martha Palmer

In this paper, we propose a novel biomedical Information Extraction (IE) model to tackle these two challenges and extract scientific entities and events from English research papers.

Event Extraction Graph Attention +1

The Russian PropBank

no code implementations • LREC 2020 • Sarah Moeller, Irina Wagner, Martha Palmer, Kathryn Conger, Skatje Myers

This paper presents a proposition bank for Russian (RuPB), a resource for semantic role labeling (SRL).

Semantic Role Labeling

ClearTAC: Verb Tense, Aspect, and Form Classification Using Neural Nets

no code implementations • WS 2019 • Skatje Myers, Martha Palmer

This paper proposes using a Bidirectional LSTM-CRF model in order to identify the tense and aspect of verbs.

General Classification