Semantic Role Labeling
7개 벤치마크 · 논문 630편 · 이 태스크의 논문 보기 →
Benchmarks
OntoNotes
CoNLL 2005
CoNLL05 Brown
CoNLL05 WSJ
CoNLL12
CoNLL 2012
CoNLL-2009
Most implemented
Deep contextualized word representations
The Natural Language Decathlon: Multitask Learning as Question Answering
An Incremental Parser for Abstract Meaning Representation
Generalizing Natural Language Analysis through Span-relation Representations
Simple BERT Models for Relation Extraction and Semantic Role Labeling
LINSPECTOR: Multilingual Probing Tasks for Word Representations
Papers
A Systematic Evaluation of Traditional Privacy Policy Analysis Tools Against LLMs
The advent of LLMs has significantly changed the research on privacy policy and data compliance analysis by enabling tasks that previously required specialized, domain-specific tools. However, it remains unclear to what …
Semantic Role LabelingThreatCore: A Benchmark for Explicit and Implicit Threat Detection
Threat detection in Natural Language Processing lacks consistent definitions and standardized benchmarks, and is often conflated with broader phenomena such as toxicity, hate speech, or offensive language. In this work, …
Semantic Role LabelingRevisiting Semantic Role Labeling: Efficient Structured Inference with Dependency-Informed Analysis
Semantic Role Labeling (SRL) provides an explicit representation of predicate-argument structure, capturing linguistically grounded relations such as who did what to whom. While recent NLP progress has been dominated by …
Semantic Role LabelingGROUNDEDKG-RAG: Grounded Knowledge Graph Index for Long-document Question Answering
Retrieval-augmented generation (RAG) systems have been widely adopted in contemporary large language models (LLMs) due to their ability to improve generation quality while reducing the required input context length. In t…
Semantic Role LabelingQuestion AnsweringEffective QA-driven Annotation of Predicate-Argument Relations Across Languages
Explicit representations of predicate-argument relations form the basis of interpretable semantic analysis, supporting reasoning, generation, and evaluation. However, attaining such semantic structures requires costly an…
Semantic Role LabelingFrom Semantic Roles to Opinion Roles: SRL Data Extraction for Multi-Task and Transfer Learning in Low-Resource ORL
This report presents a detailed methodology for constructing a high-quality Semantic Role Labeling (SRL) dataset from the Wall Street Journal (WSJ) portion of the OntoNotes 5.0 corpus and adapting it for Opinion Role Lab…
Semantic Role LabelingTransfer LearningOpinion Mining