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 451–500 of 620 papers

TitleStatusHype
Semantic-aware Dynamic Retrospective-Prospective Reasoning for Event-level Video Question Answering—0
Semantic Cohesion Model for Phrase-Based SMT—0
Semantic Frame Identification with Distributed Word Representations—0
Semantic Framework for Comparison Structures in Natural Language—0
Semantic Proto-Roles—0
Semantic Role Labeling—0
A Joint Sequential and Relational Model for Frame-Semantic Parsing—0
Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments—0
A General-Purpose Algorithm for Constrained Sequential Inference—0
A Full End-to-End Semantic Role Labeler, Syntactic-agnostic Over Syntactic-aware?—0
Semantic Role Labeling for Knowledge Graph Extraction from Text—0
Zero-shot Cross-lingual Conversational Semantic Role Labeling—0
Semantic Role Labeling for Sentiment Inference: A Case Study—0
Semantic Role Labeling Guided Multi-turn Dialogue ReWriter—0
Using C5.0 and Exhaustive Search for Boosting Frame-Semantic Parsing Accuracy—0
Semantic Role Labeling Improves Incremental Parsing—0
Semantic Role Labeling in Conversational Chat using Deep Bi-Directional Long Short-Term Memory Networks with Attention Mechanism—0
A Flexible and Easy-to-use Semantic Role Labeling Framework for Different Languages—0
Semantic Role Labeling of Emotions in Tweets—0
Semantic Role Labeling of Implicit Arguments for Nominal Predicates—0
Semantic Role Labeling of NomBank Partitives—0
Semantic role labeling tools for biomedical question answering: a study of selected tools on the BioASQ datasets—0
Using distributed word representations for robust semantic role labeling (Utilisation de repr\'esentations de mots pour l'\'etiquetage de r\^oles s\'emantiques suivant FrameNet) [in French]—0
Using Morphosemantic Information in Construction of a Pilot Lexical Semantic Resource for Turkish—0
Using Positional Suffix Trees to Perform Agile Tree Kernel Calculation—0
Semantic Role Labeling with Neural Network Factors—0
Semantic Role Labeling with Pretrained Language Models for Known and Unknown Predicates—0
Semantic Role Labeling with the Swedish FrameNet—0
Semantic Roles for String to Tree Machine Translation—0
Using Semantic Role Labeling to Improve Neural Machine Translation—0
Semantics, Discourse and Statistical Machine Translation—0
SemEval-2012 Task 5: Chinese Semantic Dependency Parsing—0
SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity—0
SemEval 2015 Task 18: Broad-Coverage Semantic Dependency Parsing—0
Semi-automatically Alignment of Predicates between Speech and OntoNotes data—0
Semi-automatic Korean FrameNet Annotation over KAIST Treebank—0
Semi-Supervised Semantic Role Labeling: Approaching from an Unsupervised Perspective—0
Semi-Supervised Semantic Role Labeling via Structural Alignment—0
Semi-Supervised Semantic Role Labeling with Cross-View Training—0
SemLink+: FrameNet, VerbNet and Event Ontologies—0
Sentence Embedding Evaluation Using Pyramid Annotation—0
Sentence Parsing with Double Sequential Labeling in Traditional Chinese Parsing Task—0
Sentence Simplification by Monolingual Machine Translation—0
Similarity-Driven Semantic Role Induction via Graph Partitioning—0
Using Shallow Semantic Parsing and Relation Extraction for Finding Contradiction in Text—0
UTA DLNLP at SemEval-2016 Task 12: Deep Learning Based Natural Language Processing System for Clinical Information Identification from Clinical Notes and Pathology Reports—0
UTA DLNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation—0
Skip-Prop: Representing Sentences with One Vector Per Proposition—0
Heterogeneous Line Graph Transformer for Math Word Problems—0
Some Issues on the Normalization of a Corpus of Products Reviews in Portuguese—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