Papers with 2-step approach
E2E Spoken Entity Extraction for Virtual Agents (2023.emnlp-industry)
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| Challenge: | Extensive research has been done to recognize entities in spoken input. |
| Approach: | They propose to fine-tune pre-trained speech encoders to extract spoken entities directly from speech without the need for text transcription. |
| Outcome: | The proposed approach outperforms the 2-step approach for extracting spoken entities from human-computer conversations. |
Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts (P19-1)
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| Challenge: | Emotion cause extraction (ECE) aims at extracting potential causes behind certain emotions in text. |
| Approach: | They propose a 2-step task to extract potential pairs of emotions and corresponding causes in a document. |
| Outcome: | The proposed task is based on a benchmark emotion cause corpus. |
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models (2021.acl-long)
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| Challenge: | Existing methods for generating text are unsupervised and require supervision. |
| Approach: | They propose an unsupervised method that uses two off-the-shelf pretrained LMs in opposite directions to apply them to non-sequential tasks. |
| Outcome: | The proposed method outperforms strong unsupervised baselines on paraphrasing and abductive text infilling. |