Papers by Kiran Yalasangi
Transforming Sequence Tagging Into A Seq2Seq Task (2022.emnlp-main)
Copied to clipboard
| Challenge: | Pretrained, large, generative language models have had great success in a wide range of sequence tagging and structured prediction tasks. |
| Approach: | They propose to use a new format for casting input text sentences and their output labels into the input and target of a Seq2Seq model and introduce it to test their hypothesis. |
| Outcome: | The proposed format shows to be both simpler and more effective and devoid of hallucination. |