Papers with automatic construction of
The Turing Quest: Can Transformers Make Good NPCs? (2023.acl-srw)
Copied to clipboard
| Challenge: | Pre-trained Transformer-based language models have demonstrated impressive conversational abilities, but their use in real-world applications remains unexplored. |
| Approach: | They propose a pipeline for automatic construction of NPC scripts using Transformer-based believable scripts for a variety of game genres and specifications. |
| Outcome: | The proposed pipeline generates scripts that fool judges in a variety of game genres and contexts, and can be easily compared to human-written scripts. |
Automatic Construction of a Chinese Review Dataset for Aspect Sentiment Triplet Extraction via Iterative Weak Supervision (2024.lrec-main)
Copied to clipboard
| Challenge: | Aspect Sentiment Triplet Extraction (ASTE) is a task that involves the extraction of three key elements: target aspects, descriptive opinion spans, and their corresponding sentiment polarity. |
| Approach: | They propose a framework that facilitates automatic construction of Aspect Sentiment Triplet Extraction (ASTE) by iterative weak supervision and a discriminator to weed out subpar samples. |
| Outcome: | The proposed framework automates the construction of Aspect Sentiment Triplet Extraction tasks in Chinese by using iterative weak supervision. |