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 301–350 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
KeLP: a Kernel-based Learning Platform for Natural Language Processing—0
Key2Vec: Automatic Ranked Keyphrase Extraction from Scientific Articles using Phrase Embeddings—0
Knowledge Graph Anchored Information-Extraction for Domain-Specific Insights—0
Knowledge Representation and Extraction at Scale—0
KOI at SemEval-2018 Task 5: Building Knowledge Graph of Incidents—0
Korean FrameNet Expansion Based on Projection of Japanese FrameNet—0
Korean Treebank Transformation for Parser Training—0
KrakeN: N-ary Facts in Open Information Extraction—0
K-SRL: Instance-based Learning for Semantic Role Labeling—0
UMCC\_DLSI: Textual Similarity based on Lexical-Semantic features—0
Langforia: Language Pipelines for Annotating Large Collections of Documents—0
Language Identification and Named Entity Recognition in Hinglish Code Mixed Tweets—0
Language Processing Infrastructure in the XLike Project—0
Um reposit\'orio de verbos para a anota \~ao de pap\'eis sem\^anticos dispon\' na web (A Verb Repository for Semantic Role Labeling Available in the Web) [in Portuguese]—0
Latent Structure Perceptron with Feature Induction for Unrestricted Coreference Resolution—0
Learning Disentangled Representations in Natural Language Definitions with Semantic Role Labeling Supervision—0
Learning Hidden Markov Models with Distributed State Representations for Domain Adaptation—0
Understanding the Semantics of Narratives of Interpersonal Violence through Reader Annotations and Physiological Reactions—0
Legal NERC with ontologies, Wikipedia and curriculum learning—0
XLike Project Language Analysis Services—0
Leveraging VerbNet to build Corpus-Specific Verb Clusters—0
LIMIT-BERT : Linguistic Informed Multi-Task BERT—0
Adapting VerbNet to French using existing resources—0
A Bayesian Approach to Unsupervised Semantic Role Induction—0
Linguistically-Informed Self-Attention for Semantic Role Labeling—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