Search Results for author: Yong-Siang Shih

Found 5 papers, 1 papers with code

Human-in-the-Loop AI for Cheating Ring Detection

no code implementations18 Mar 2024 Yong-Siang Shih, Manqian Liao, Ruidong Liu, Mirza Basim Baig

However, some concerns have been raised about the security of the online exams, particularly in the context of professional cheating services aiding malicious test takers in passing exams, forming so-called "cheating rings".

Fairness

Augmenters at SemEval-2023 Task 1: Enhancing CLIP in Handling Compositionality and Ambiguity for Zero-Shot Visual WSD through Prompt Augmentation and Text-To-Image Diffusion

no code implementations9 Jul 2023 Jie S. Li, Yow-Ting Shiue, Yong-Siang Shih, Jonas Geiping

SD Sampling uses text-to-image Stable Diffusion to generate multiple images from the given phrase, increasing the likelihood that a subset of images match the one that paired with the text.

Descriptive Word Sense Disambiguation

XL-Editor: Post-editing Sentences with XLNet

no code implementations19 Oct 2019 Yong-Siang Shih, Wei-Cheng Chang, Yiming Yang

While neural sequence generation models achieve initial success for many NLP applications, the canonical decoding procedure with left-to-right generation order (i. e., autoregressive) in one-pass can not reflect the true nature of human revising a sentence to obtain a refined result.

Sentence Style Transfer +1

Compatibility Family Learning for Item Recommendation and Generation

1 code implementation2 Dec 2017 Yong-Siang Shih, Kai-Yueh Chang, Hsuan-Tien Lin, Min Sun

In our learned space, we introduce a novel Projected Compatibility Distance (PCD) function which is differentiable and ensures diversity by aiming for at least one prototype to be close to a compatible item, whereas none of the prototypes are close to an incompatible item.

Generative Adversarial Network

Detection, Disambiguation and Argument Identification of Discourse Connectives in Chinese Discourse Parsing

no code implementations COLING 2016 Yong-Siang Shih, Hsin-Hsi Chen

In this paper, we investigate four important issues together for explicit discourse relation labelling in Chinese texts: (1) discourse connective extraction, (2) linking ambiguity resolution, (3) relation type disambiguation, and (4) argument boundary identification.

Discourse Parsing Relation

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