Browse > Natural Language Processing > Semantic Role Labeling

Semantic Role Labeling

51 papers with code · Natural Language Processing

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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Latest papers with code

A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos

2 May 2020frankxu2004/cooking-procedural-extraction

Procedural knowledge, which we define as concrete information about the sequence of actions that go into performing a particular procedure, plays an important role in understanding real-world tasks and actions.

ACTION DETECTION SEMANTIC ROLE LABELING

4
02 May 2020

Structured Tuning for Semantic Role Labeling

1 May 2020utahnlp/structured_tuning_srl

We start with a strong baseline (RoBERTa) to validate the impact of our approach, and show that our framework outperforms the baseline by learning to comply with declarative constraints.

SEMANTIC ROLE LABELING

1
01 May 2020

BERTje: A Dutch BERT Model

19 Dec 2019wietsedv/bertje

The transformer-based pre-trained language model BERT has helped to improve state-of-the-art performance on many natural language processing (NLP) tasks.

LANGUAGE MODELLING NAMED ENTITY RECOGNITION PART-OF-SPEECH TAGGING SEMANTIC ROLE LABELING SENTIMENT ANALYSIS

47
19 Dec 2019

Glyce: Glyph-vectors for Chinese Character Representations

NeurIPS 2019 ShannonAI/glyce

When combing with BERT, we are able to set new state-of-the-art results for a variety of Chinese NLP tasks, including language modeling, tagging (NER, CWS, POS), sentence pair classification (BQ, LCQMC, XNLI, NLPCC-DBQA), single sentence classification tasks (ChnSentiCorp, the Fudan corpus, iFeng), dependency parsing, and semantic role labeling.

DEPENDENCY PARSING IMAGE CLASSIFICATION LANGUAGE MODELLING MULTI-TASK LEARNING SEMANTIC ROLE LABELING SENTENCE CLASSIFICATION

223
01 Dec 2019

A Primal Dual Formulation For Deep Learning With Constraints

NeurIPS 2019 dair-iitd/dl-with-constraints

In this paper, we present a constrained optimization formulation for training a deep network with a given set of hard constraints on output labels.

ENTITY TYPING NAMED ENTITY RECOGNITION SEMANTIC ROLE LABELING

5
01 Dec 2019
34
10 Nov 2019

Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks

IJCNLP 2019 DalstonChen/CapNetSRL

In every network layer, the capsules interact with each other and with representations of words in the sentence.

SEMANTIC ROLE LABELING

3
07 Oct 2019

Subword ELMo

18 Sep 2019Jiangtong-Li/Subword-ELMo

Embedding from Language Models (ELMo) has shown to be effective for improving many natural language processing (NLP) tasks, and ELMo takes character information to compose word representation to train language models. However, the character is an insufficient and unnatural linguistic unit for word representation. Thus we introduce Embedding from Subword-aware Language Models (ESuLMo) which learns word representation from subwords using unsupervised segmentation over words. We show that ESuLMo can enhance four benchmark NLP tasks more effectively than ELMo, including syntactic dependency parsing, semantic role labeling, implicit discourse relation recognition and textual entailment, which brings a meaningful improvement over ELMo.

DEPENDENCY PARSING NATURAL LANGUAGE INFERENCE SEMANTIC ROLE LABELING

12
18 Sep 2019

Reasoning Over Semantic-Level Graph for Fact Checking

9 Sep 2019thunlp/KernelGAT

We evaluate our system on FEVER, a benchmark dataset for fact checking, and find that rich structural information is helpful and both our graph-based mechanisms improve the accuracy.

REPRESENTATION LEARNING SEMANTIC ROLE LABELING

24
09 Sep 2019