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natural-language-processing

Semantic Role Labeling

3260 papers • 126 benchmarks • 313 datasets

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

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Benchmarks

These leaderboards are used to track progress in semantic-role-labeling

Trend

Dataset

Best Model

Actions

OntoNotes

OntoNotes

CoNLL 2005

CoNLL 2005

CoNLL05 WSJ

CoNLL05 WSJ

Libraries

i

Use these libraries to find semantic-role-labeling models and implementations

Datasets

FrameNet

OntoNotes 5.0

CoNLL-2012

NomBank

QA-SRL

CoNLL-2009

Subtasks

Predicate Detection Semantic Role Labeling (predicted predicates)Textual Analogy Parsing

Most implemented papers

Deep Contextualized Word Representations

Christopher Clark, Mohit Iyyer, Luke Zettlemoyer, Kenton Lee, Matt Gardner, Matthew E. Peters, Mark Neumann•Wed Feb 14 2018

A new type of deep contextualized word representation is introduced that models both complex characteristics of word use and how these uses vary across linguistic contexts, allowing downstream models to mix different types of semi-supervision signals.

12011

Content

Introduction Benchmarks Datasets Subtasks Libraries Papers

CoNLL05 Brown

CoNLL05 Brown

CoNLL12

CoNLL12

CoNLL 2012

CoNLL 2012

CoNLL-2009

CoNLL-2009

QA-SRL Bank 2.0

QA-SRL Bank 2.0

X-SRL

ExHVV

GePaDe

0

The Natural Language Decathlon: Multitask Learning as Question Answering

N. Keskar, R. Socher, Caiming Xiong, Bryan McCann•Tue Jun 19 2018

Presented on August 28, 2018 at 12:15 p.m. in the Pettit Microelectronics Research Center, Room 102 A/B.

661 0

An Incremental Parser for Abstract Meaning Representation

Shay B. Cohen, G. Satta, Marco Damonte•Sun Aug 21 2016

A transition-based parser for AMR that parses sentences left-to-right, in linear time is described and it is shown that this parser is competitive with the state of the art on the LDC2015E86 dataset and that it outperforms state-of-the-art parsers for recovering named entities and handling polarity.

172 0

Large-Scale QA-SRL Parsing

Julian Michael, Luke Zettlemoyer, Luheng He, Nicholas FitzGerald•Sun May 13 2018

A new large-scale corpus of Question-Answer driven Semantic Role Labeling (QA-SRL) annotations, and the first high-quality QA- SRL parser are presented, and neural models for two QA -SRL subtasks are presented: detecting argument spans for a predicate and generating questions to label the semantic relationship.

102 0

Generalizing Natural Language Analysis through Span-relation Representations

Graham Neubig, Zhengbao Jiang, W. Xu, J. Araki•Sat Nov 09 2019

This paper provides the simple insight that a great variety of tasks can be represented in a single unified format consisting of labeling spans and relations between spans, thus a single task-independent model can be used across different tasks.

61 0

Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints

Mark Yatskar, Vicente Ordonez, Jieyu Zhao, Tianlu Wang, Kai-Wei Chang•Fri Jul 28 2017

This work proposes to inject corpus-level constraints for calibrating existing structured prediction models and design an algorithm based on Lagrangian relaxation for collective inference to reduce the magnitude of bias amplification in multilabel object classification and visual semantic role labeling.

1048 0

Simple BERT Models for Relation Extraction and Semantic Role Labeling

Jimmy J. Lin, Peng Shi•Tue Apr 09 2019

This work is the first to successfully apply BERT in this manner for relation extraction and semantic role labeling, and its models provide strong baselines for future research.

464 0

LINSPECTOR: Multilingual Probing Tasks for Word Representations

Iryna Gurevych, Clara Vania, Ilia Kuznetsov, Gözde Gül Şahin•Thu Mar 21 2019

It is found that a number of probing tests have significantly high positive correlation to the downstream tasks, especially for morphologically rich languages, and these tests can be used to explore word embeddings or black-box neural models for linguistic cues in a multilingual setting.

45 0

Demonyms and Compound Relational Nouns in Nominal Open IE

Mausam, Harinder Pal•Tue May 31 2016

This work substantially improves the quality of Open IE from compound noun phrases by focusing on phenomena like demonyms and compound relational nouns.

95 0

Natural Language Processing (Almost) from Scratch

R. Collobert, K. Kavukcuoglu, L. Bottou, J. Weston, Michael Karlen, Pavel P. Kuksa•Mon Jan 31 2011

A unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including part-of-speech tagging, chunking, named entity recognition, and semantic role labeling is proposed.

7859 0

Adding a benchmark result helps the community track progress.

Semantic Role Labeling | State-of-the-Art