Semantic Role Labeling

Input a piece of text:

In 2021, HanLPv2.1 delivers state-of-the-art multilingual NLP techniques to production environments. 2021年、HanLPv2.1は次世代の最先端多言語NLP技術を本番環境に導入します。 2021年 HanLPv2.1为生产环境带来次世代最先进的多语种NLP技术。184/800

Introduction

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.

Note

Although UD covers 130 languages, OntoNotes (NER, CON, SRL) covers only English, Chinese and Arabic. So NER/CON/SRL of languages other than the 3 are considered as Zero-Shot and their accuracies can be very low.

How to Use

Apply for Auth

We are hosting a non-commercial API service and you are welcome to apply for an auth key. An auth key is a password which gives you access to our API and protects our server from being abused.

Create RESTful Client

Create a HanLPClient:

      from hanlp_restful import HanLPClient
# Fill in your auth
HanLP = HanLPClient('https://www.hanlp.com/api', auth=None, language='mul')

    

Parse

Set tasks='srl' to perform SRL：

      
HanLP('''In 2021, HanLPv2.1 delivers state-of-the-art multilingual NLP techniques to production environments. 
2021年、HanLPv2.1は次世代の最先端多言語NLP技術を本番環境に導入します。
2021年 HanLPv2.1为生产环境带来次世代最先进的多语种NLP技术。''', tasks='srl').pretty_print()

    

Native APIs

Please refer to docs.