Thailand

Coreference Resolution (CR) and Zero Pronoun Resolution (ZPR) are vital for extracting meaningful information from text. However, limited research and datasets pose significant challenges in Thai language. To address this, we developed an annotated joint CR and ZPR dataset. Additionally, we introduced the Z-coref model, capable of simultaneously handling CR and ZPR tasks by adjusting the span definition of a prior CR architecture to include token gaps. The proposed model trained on our dataset outperformed the state-of-the-art in resolving both coreference resolution and zero-pronoun resolution, while taking less time to train.

ACL 2024

Z-coref: Thai Coreference and Zero Pronoun Resolution

anaphora resolution

zero pronoun resolution

coreference resolution

poster

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The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) will take place in Bangkok, Thailand from August 11th to 16th, 2024. Our Virtual Poster Sessions will take place online Thursday, August 22, 2024.

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The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) will take place in Bangkok, Thailand from August 11th to 16th, 2024. More information will be announced soon.

Large Language Models (LLMs) have significant potential for facilitating intelligent end-user applications in healthcare. However, hallucinations remain an inherent problem with LLMs, making it crucial to address this issue with extensive medical knowledge and data. In this work, we propose a Retrieve-and-Medically-Augmented-Generation with Knowledge Reduction (ReMAG-KR) pipeline, employing a carefully curated knowledge base using cross-encoder re-ranking strategies. The pipeline is tested on medical MCQ-based QA datasets as well as general QA datasets. It was observed that when the knowledge base is reduced, the model's performance decreases by 2-8%, while the inference time improves by 47%.

ReMAG-KR: Retrieval and Medically Assisted Generation with Knowledge Reduction for Medical Question Answering

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Plot Retrieval as an Assessment of Abstract Semantic Association

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Label-Aware Automatic Verbalizer for Few-Shot Text Classification in Mid-To-Low Resource Languages

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Vector Spaces for Quantifying Disparity of Multiword Expressions in Annotated Text

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Action Inference for Destination Prediction in Vision-and-Language Navigation

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On Improving Repository-Level Code QA for Large Language Models

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Z-coref: Thai Coreference and Zero Pronoun Resolution

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ReMAG-KR: Retrieval and Medically Assisted Generation with Knowledge Reduction for Medical Question Answering

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