SOTAVerified

Semantic Role Labeling

Semantic role labeling aims to model the predicate-argument structure of a sentence and is often described as answering "Who did what to whom". BIO notation is typically used for semantic role labeling.

Example:

| Housing | starts | are | expected | to | quicken | a | bit | from | August’s | pace | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | B-ARG1 | I-ARG1 | O | O | O | V | B-ARG2 | I-ARG2 | B-ARG3 | I-ARG3 | I-ARG3 |

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–325 of 620 papers

TitleStatusHype
Inferring Temporally-Anchored Spatial Knowledge from Semantic Roles—0
UIO-Lien: Entailment Recognition using Minimal Recursion Semantics—0
Information Extraction in Domain and Generic Documents: Findings from Heuristic-based and Data-driven Approaches—0
Instrument subjects without Instrument role—0
Integer Linear Programming formulations in Natural Language Processing—0
Integrating Generative Lexicon Event Structures into VerbNet—0
Integrating Multiple Dependency Corpora for Inducing Wide-coverage Japanese CCG Resources—0
Intermediary Semantic Representation through Proposition Structures—0
AMR Parsing with Instruction Fine-tuned Pre-trained Language Models—0
Interpretable Semantic Role Relation Table for Supporting Facts Recognition of Reading Comprehension—0
AMRize, then Parse! Enhancing AMR Parsing with PseudoAMR Data—0
Intrinsic Evaluations of Word Embeddings: What Can We Do Better?—0
InVeRo: Making Semantic Role Labeling Accessible with Intelligible Verbs and Roles—0
InVeRo-XL: Making Cross-Lingual Semantic Role Labeling Accessible with Intelligible Verbs and Roles—0
Is Argument Structure of Learner Chinese Understandable: A Corpus-Based Analysis—0
Iterative Span Selection: Self-Emergence of Resolving Orders in Semantic Role Labeling—0
基于Self-Attention的句法感知汉语框架语义角色标注(Syntax-Aware Chinese Frame Semantic Role Labeling Based on Self-Attention)—0
Joint A* CCG Parsing and Semantic Role Labelling—0
Joint Arc-factored Parsing of Syntactic and Semantic Dependencies—0
Joint Case Argument Identification for Japanese Predicate Argument Structure Analysis—0
Joint Chinese Word Segmentation, POS Tagging and Parsing—0
ULSAna: Universal Language Semantic Analyzer—0
UMCC\_DLSI: Multidimensional Lexical-Semantic Textual Similarity—0
Joint Training with Semantic Role Labeling for Better Generalization in Natural Language Inference—0
“Kanglish alli names!” Named Entity Recognition for Kannada-English Code-Mixed Social Media Data—0
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All datasetsOntoNotesCoNLL 2005CoNLL05 BrownCoNLL05 WSJCoNLL12CoNLL-2009CoNLL-2012

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HeSyFuF188.59—Unverified
2CRF2o + RoBERTaF188.32—Unverified
3MRC-SRLF188.3—Unverified
4ReCAT(pretrained on wikitext103)F188—Unverified
5SRL-MM + XLNetF187.67—Unverified
6CRF2o + BERTF187.66—Unverified
7RoBERTa+RegCCRFF187.51—Unverified
8RoBERTa+CRFF187.27—Unverified
9BiLSTM-Span (Ensemble)F187—Unverified
10BiLSTM-SpanF186.2—Unverified
#ModelMetricClaimedVerifiedStatus
1MRC-SRLF190—Unverified
2SRL-MM + XLNetF189.8—Unverified
3CRF2o + RoBERTaF189.54—Unverified
4HeSyFuF189.04—Unverified
5CRF2o + BERTF189.03—Unverified
6Mohammadshahi and Henderson (2021)F188.93—Unverified
7BiLSTM-Span (Ensemble, predicates given)F188.5—Unverified
8CRF2oF187.87—Unverified
9Li et al. (2019) (Ensemble)F187.7—Unverified
10BiLSTM-SpanF187.6—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-task w/ finetuneF192.1—Unverified
2DeepStruct multi-taskF192—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-taskF195.5—Unverified
2DeepStruct multi-task w/ finetuneF195.2—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-taskF197.2—Unverified
2DeepStruct multi-task w/ finetuneF196—Unverified
#ModelMetricClaimedVerifiedStatus
1Ours (High-Order model)F1 (Arg.)90.2—Unverified
#ModelMetricClaimedVerifiedStatus
1HeSyFuAvg. F188.59—Unverified