Papers with weakly-supervised method
An Uncertainty-Aware Encoder for Aspect Detection (2021.findings-emnlp)
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| Challenge: | Existing methods for aspect detection use seed words as priors or features of topic models. |
| Approach: | They propose a weakly-supervised method to exploit seed words for aspect detection . goal is approximating similarity between segments and aspects and ground-truth similarity generated from seed words. |
| Outcome: | The proposed method outperforms previous work on several benchmarks in various domains. |
Ad-hoc Document Retrieval using Weak-Supervision with BERT and GPT2 (2020.emnlp-main)
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| Challenge: | a weakly-supervised method is used for document retrieval tasks . traditional methods are used for ad-hoc querying, but they require large amounts of labeled data . |
| Approach: | They propose a weakly-supervised method for training deep learning models for ad-hoc document retrieval using weak-supervision from the documents in the corpus. |
| Outcome: | The proposed method outperforms state-of-the-art methods on a COVID-19 dataset and two news datasets without the need for labeling data. |