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 501–525 of 620 papers

TitleStatusHype
Image Annotation with ISO-Space: Distinguishing Content from Structure—0
On the reliability and inter-annotator agreement of human semantic MT evaluation via HMEANT—0
Post-hoc Manipulations of Vector Space Models with Application to Semantic Role Labeling—0
Encoding of Compounds in Swedish FrameNet—0
A System for Building FrameNet-like Corpus for the Biomedical Domain—0
Some Issues on the Normalization of a Corpus of Products Reviews in Portuguese—0
XLike Project Language Analysis Services—0
First steps towards a Predicate Matrix—0
Computational Frameworks for Supporting Textual Inference—0
Textual Inference and Meaning Representation in Human Robot Interaction—0
Predicate Argument Structure Analysis using Partially Annotated Corpora—0
Feature-based Neural Language Model and Chinese Word Segmentation—0
What Information is Helpful for Dependency Based Semantic Role Labeling—0
Using Shallow Semantic Parsing and Relation Extraction for Finding Contradiction in Text—0
A Study on Bootstrapping Bilingual Vector Spaces from Non-Parallel Data (and Nothing Else)—0
Effectiveness and Efficiency of Open Relation Extraction—0
Deep Learning for Chinese Word Segmentation and POS Tagging—0
Detection of Product Comparisons - How Far Does an Out-of-the-Box Semantic Role Labeling System Take You?—0
MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text—0
Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks—0
Exploiting Zero Pronouns to Improve Chinese Coreference Resolution—0
Deriving Adjectival Scales from Continuous Space Word Representations—0
Expanding VerbNet with Sketch Engine—0
The C-Score -- Proposing a Reading Comprehension Metrics as a Common Evaluation Measure for Text Simplification—0
Unsupervised structured semantic inference for spoken dialog reservation tasks—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