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

Showing 501550 of 620 papers

TitleStatusHype
Language Processing Infrastructure in the XLike Project0
Image Annotation with ISO-Space: Distinguishing Content from Structure0
Post-hoc Manipulations of Vector Space Models with Application to Semantic Role Labeling0
XLike Project Language Analysis Services0
Some Issues on the Normalization of a Corpus of Products Reviews in Portuguese0
A System for Building FrameNet-like Corpus for the Biomedical Domain0
Encoding of Compounds in Swedish FrameNet0
First steps towards a Predicate Matrix0
Textual Inference and Meaning Representation in Human Robot Interaction0
Computational Frameworks for Supporting Textual Inference0
Deep Learning for Chinese Word Segmentation and POS Tagging0
Predicate Argument Structure Analysis using Partially Annotated Corpora0
Using Shallow Semantic Parsing and Relation Extraction for Finding Contradiction in Text0
Detection of Product Comparisons - How Far Does an Out-of-the-Box Semantic Role Labeling System Take You?0
Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks0
MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text0
Deriving Adjectival Scales from Continuous Space Word Representations0
Effectiveness and Efficiency of Open Relation Extraction0
Feature-based Neural Language Model and Chinese Word Segmentation0
What Information is Helpful for Dependency Based Semantic Role Labeling0
Exploiting Zero Pronouns to Improve Chinese Coreference Resolution0
A Study on Bootstrapping Bilingual Vector Spaces from Non-Parallel Data (and Nothing Else)0
Expanding VerbNet with Sketch Engine0
Unsupervised structured semantic inference for spoken dialog reservation tasks0
From Natural Language Specifications to Program Input Parsers0
ImpAr: A Deterministic Algorithm for Implicit Semantic Role Labelling0
FrameNet on the Way to Babel: Creating a Bilingual FrameNet Using Wiktionary as Interlingual Connection0
Argument Inference from Relevant Event Mentions in Chinese Argument Extraction0
A Random Walk Approach to Selectional Preferences Based on Preference Ranking and PropagationCode0
Better Word Representations with Recursive Neural Networks for Morphology0
Improved Lexical Acquisition through DPP-based Verb Clustering0
Adapting Discriminative Reranking to Grounded Language Learning0
Handling Ambiguities of Bilingual Predicate-Argument Structures for Statistical Machine Translation0
HYENA-live: Fine-Grained Online Entity Type Classification from Natural-language Text0
Transducing Sentences to Syntactic Feature Vectors: an Alternative Way to ``Parse''?0
Cross-lingual Transfer of Semantic Role Labeling Models0
Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity0
The CoNLL-2013 Shared Task on Grammatical Error Correction0
Wordnet-Based Cross-Language Identification of Semantic Relations0
Supervised Model Learning with Feature Grouping based on a Discrete Constraint0
The C-Score -- Proposing a Reading Comprehension Metrics as a Common Evaluation Measure for Text Simplification0
Semantic Roles for String to Tree Machine Translation0
Advancements in Reordering Models for Statistical Machine Translation0
Integrating Multiple Dependency Corpora for Inducing Wide-coverage Japanese CCG Resources0
Margin-based Decomposed Amortized Inference0
AnCora-UPF: A Multi-Level Annotation of Spanish0
Parsing with Compositional Vector Grammars0
Paving the Way to a Large-scale Pseudosense-annotated Dataset0
Automatic Morphological Enrichment of a Morphologically Underspecified Treebank0
Automatically Identifying Implicit Arguments to Improve Argument Linking and Coherence Modeling0
Show:102550
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HeSyFuF188.59Unverified
2CRF2o + RoBERTaF188.32Unverified
3MRC-SRLF188.3Unverified
4ReCAT(pretrained on wikitext103)F188Unverified
5SRL-MM + XLNetF187.67Unverified
6CRF2o + BERTF187.66Unverified
7RoBERTa+RegCCRFF187.51Unverified
8RoBERTa+CRFF187.27Unverified
9BiLSTM-Span (Ensemble)F187Unverified
10BiLSTM-SpanF186.2Unverified
#ModelMetricClaimedVerifiedStatus
1MRC-SRLF190Unverified
2SRL-MM + XLNetF189.8Unverified
3CRF2o + RoBERTaF189.54Unverified
4HeSyFuF189.04Unverified
5CRF2o + BERTF189.03Unverified
6Mohammadshahi and Henderson (2021)F188.93Unverified
7BiLSTM-Span (Ensemble, predicates given)F188.5Unverified
8CRF2oF187.87Unverified
9Li et al. (2019) (Ensemble)F187.7Unverified
10BiLSTM-SpanF187.6Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-task w/ finetuneF192.1Unverified
2DeepStruct multi-taskF192Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-taskF195.5Unverified
2DeepStruct multi-task w/ finetuneF195.2Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-taskF197.2Unverified
2DeepStruct multi-task w/ finetuneF196Unverified
#ModelMetricClaimedVerifiedStatus
1Ours (High-Order model)F1 (Arg.)90.2Unverified
#ModelMetricClaimedVerifiedStatus
1HeSyFuAvg. F188.59Unverified