mlsanityData to 14 Oct 2026

ZS4IE: A toolkit for Zero-Shot Information Extraction with simple Verbalizations

arXiv 2203.13602 ↗First posted 25 Mar 2022cs.CLcited by 7

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Abstract (arXiv)

The current workflow for Information Extraction (IE) analysts involves the definition of the entities/relations of interest and a training corpus with annotated examples. In this demonstration we introduce a new workflow where the analyst directly verbalizes the entities/relations, which are then used by a Textual Entailment model to perform zero-shot IE. We present the design and implementation of a toolkit with a user interface, as well as experiments on four IE tasks that show that the system achieves very good performance at zero-shot learning using only 5--15 minutes per type of a user's effort. Our demonstration system is open-sourced at https://github.com/BBN-E/ZS4IE . A demonstration video is available at https://vimeo.com/676138340 .

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 17 of its 33 references that are in the map. First posted on arXiv 25 Mar 2022.

Builds on

17 of 33 references.

References · 17

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5 more
  1. 2021Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collectionscited by 128
  2. 2021Entailment as Few-Shot Learnercited by 123
  3. 2021Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extractioncited by 73
  4. 2021Zero-Shot Information Extraction as a Unified Text-to-Triple Translationcited by 22
  5. 2021Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language Modelscited by 13

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Cited by year

Citing papers per year: 2022: 1; 2023: 3; 2024: 3.

7 papers.

  1. 2023ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPTcited by 250
  2. 2023GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extractioncited by 119
  3. 2022Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learningcited by 25
  4. 2023What do Language Models know about word senses? Zero-Shot WSD with Language Models and Domain Inventoriescited by 9
  5. 2024On the use of Silver Standard Data for Zero-shot Classification Tasks in Information Extractioncited by 3
  6. 2024Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extractioncited by 3
  7. 2024Event Extraction in Basque: Typologically motivated Cross-Lingual Transfer-Learning Analysiscited by 2