Papers by Martin Kerscher
Vec2Sent: Probing Sentence Embeddings with Natural Language Generation (2020.coling-main)
Copied to clipboard
| Challenge: | a new unsupervised probing task is able to retrieve black-box sentence embeddings . a variety of problems surround probing tasks, including manual construing . |
| Approach: | They propose a method to generate black-box sentence embeddings by conditionally generating from them . they also illustrate how the language generated from different encoders differs . |
| Outcome: | The proposed probing task improves the performance of black-box sentence embeddings . the proposed task is based on a conditional natural language generation approach . |