Verb Knowledge Injection for Multilingual Event Processing

Olga Majewska, Ivan Vulić, Goran Glavaš, Edoardo Maria Ponti, Anna Korhonen


Abstract
Linguistic probing of pretrained Transformer-based language models (LMs) revealed that they encode a range of syntactic and semantic properties of a language. However, they are still prone to fall back on superficial cues and simple heuristics to solve downstream tasks, rather than leverage deeper linguistic information. In this paper, we target a specific facet of linguistic knowledge, the interplay between verb meaning and argument structure. We investigate whether injecting explicit information on verbs’ semantic-syntactic behaviour improves the performance of pretrained LMs in event extraction tasks, where accurate verb processing is paramount. Concretely, we impart the verb knowledge from curated lexical resources into dedicated adapter modules (verb adapters), allowing it to complement, in downstream tasks, the language knowledge obtained during LM-pretraining. We first demonstrate that injecting verb knowledge leads to performance gains in English event extraction. We then explore the utility of verb adapters for event extraction in other languages: we investigate 1) zero-shot language transfer with multilingual Transformers and 2) transfer via (noisy automatic) translation of English verb-based lexical knowledge. Our results show that the benefits of verb knowledge injection indeed extend to other languages, even when relying on noisily translated lexical knowledge.
Anthology ID:
2021.acl-long.541
Volume:
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Month:
August
Year:
2021
Address:
Online
Venues:
ACL | IJCNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
6952–6969
Language:
URL:
https://aclanthology.org/2021.acl-long.541
DOI:
10.18653/v1/2021.acl-long.541
Bibkey:
Cite (ACL):
Olga Majewska, Ivan Vulić, Goran Glavaš, Edoardo Maria Ponti, and Anna Korhonen. 2021. Verb Knowledge Injection for Multilingual Event Processing. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6952–6969, Online. Association for Computational Linguistics.
Cite (Informal):
Verb Knowledge Injection for Multilingual Event Processing (Majewska et al., ACL 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.acl-long.541.pdf
Video:
 https://aclanthology.org/2021.acl-long.541.mp4
Data
FrameNetMAVEN