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 551–600 of 620 papers

TitleStatusHype
Assorted, Archetypal and Annotated Two Million (3A2M) Cooking Recipes Dataset based on Active Learning—0
Argument Inference from Relevant Event Mentions in Chinese Argument Extraction—0
A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data—0
A Study of Imitation Learning Methods for Semantic Role Labeling—0
A Study on Bootstrapping Bilingual Vector Spaces from Non-Parallel Data (and Nothing Else)—0
The Dependency-Parsed FrameNet Corpus—0
A System for Building FrameNet-like Corpus for the Biomedical Domain—0
Applying Collocation Segmentation to the ACL Anthology Reference Corpus—0
Attentive Semantic Role Labeling with Boundary Indicator—0
Auditing Deep Learning processes through Kernel-based Explanatory Models—0
A Pilot PropBank Annotation for Quranic Arabic—0
A Unified Architecture for Semantic Role Labeling and Relation Classification—0
The descriptive approaches of the verb in Linguistics, Terminology and NLP (Les mod\`eles de description du verbe dans les travaux de Linguistique, Terminologie et TAL) [in French]—0
Automatically Extracting Qualia Relations for the Rich Event Ontology—0
Automatically Identifying Implicit Arguments to Improve Argument Linking and Coherence Modeling—0
Automatic Generation of a Lexical Resource to support Semantic Role Labeling in Portuguese—0
Automatic Generation of Multiple-Choice Questions—0
Automatic Morphological Enrichment of a Morphologically Underspecified Treebank—0
Automatic Propbank Generation for Turkish—0
Automatic semantic role labeling in Ancient Greek using distributional semantic modeling—0
Automatic semantic role labeling on non-revised syntactic trees of journalistic texts—0
Automatic word alignment tools to scale production of manually aligned parallel texts—0
Any-language frame-semantic parsing—0
A Data-Driven Approach for Semantic Role Labeling from Induced Grammar Structures in Language—0
An Unsupervised Model for Instance Level Subcategorization Acquisition—0
Better Word Representations with Recursive Neural Networks for Morphology—0
Beyond The Text: Analysis of Privacy Statements through Syntactic and Semantic Role Labeling—0
Bilingual English-Czech Valency Lexicon Linked to a Parallel Corpus—0
Bilingual Lexicon Induction by Learning to Combine Word-Level and Character-Level Representations—0
The Netlog Corpus. A Resource for the Study of Flemish Dutch Internet Language—0
Book Reviews: Ontology-Based Interpretation of Natural Language by Philipp Cimiano, Christina Unger and John McCrae—0
Bootstrapping Semantic Role Labelers from Parallel Data—0
Annotating the Little Prince with Chinese AMRs—0
The New Propbank: Aligning Propbank with AMR through POS Unification—0
Building Japanese Predicate-argument Structure Corpus using Lexical Conceptual Structure—0
Can Discourse Relations be Identified Incrementally?—0
Can predicate-argument relationships be extracted from UD trees?—0
Can Selectional Preferences Help Automatic Semantic Role Labeling?—0
The Rich Event Ontology—0
Capturing Argument Relationship for Chinese Semantic Role Labeling—0
Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim?—0
What's in Your Embedding, And How It Predicts Task Performance—0
Chinese Semantic Role Labeling using High-quality Syntactic Knowledge—0
Chinese Semantic Role Labeling with Bidirectional Recurrent Neural Networks—0
CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling—0
CMILLS: Adapting Semantic Role Labeling Features to Dependency Parsing—0
Zhijun Wu: Chinese Semantic Dependency Parsing with Third-Order Features—0
Combining Seemingly Incompatible Corpora for Implicit Semantic Role Labeling—0
The Russian PropBank—0
Comparing Czech and English AMRs—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