Výsledky vyhledávání - "Quan Hung Tran"

Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference

Autor: Heng Ji, Tuan Manh Lai, ChengXiang Zhai, Quan Hung Tran

Publikováno v: ACL/IJCNLP (1)

Compared to the general news domain, information extraction (IE) from biomedical text requires much broader domain knowledge. However, many previous IE methods do not utilize any external knowledge during inference. Due to the exponential growth of b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51b96dcdb6e361431e6e9ec9d432125a
http://arxiv.org/abs/2105.13456

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TIMERS: Document-level Temporal Relation Extraction

Autor: Quan Hung Tran, Dinesh Manocha, Vlad I. Morariu, Rajiv Jain, Puneet Mathur, Franck Dernoncourt

Publikováno v: ACL/IJCNLP (2)

We present TIMERS - a TIME, Rhetorical and Syntactic-aware model for document-level temporal relation classification in the English language. Our proposed method leverages rhetorical discourse features and temporal arguments from semantic role labels

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9fe037975ada942ee55f70c3f5d6be5f
https://doi.org/10.18653/v1/2021.acl-short.67

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A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution

Autor: Tuan Manh Lai, Heng Ji, Quan Hung Tran, Walter Chang, Trung Bui, Franck Dernoncourt

Publikováno v: NAACL-HLT

Event coreference resolution is an important research problem with many applications. Despite the recent remarkable success of pretrained language models, we argue that it is still highly beneficial to utilize symbolic features for the task. However,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1dec051e15e166b559efad91eb80698
https://doi.org/10.18653/v1/2021.naacl-main.274

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Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning

Autor: Jianguo Zhang, Trung Bui, Seunghyun Yoon, Xiang Chen, Zhiwei Liu, Congying Xia, Quan Hung Tran, Walter Chang, Philip Yu

In this work, we focus on a more challenging few-shot intent detection scenario where many intents are fine-grained and semantically similar. We present a simple yet effective few-shot intent detection schema via contrastive pre-training and fine-tun

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be254083628db74faa9cf28d6f9e43f4

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Inducing Rich Interaction Structures Between Words for Document-Level Event Argument Extraction

Autor: Franck Dernoncourt, Varun Manjunatha, Lidan Wang, Walter Chang, Thien Huu Nguyen, Quan Hung Tran, Doo Soon Kim, Amir Pouran Ben Veyseh, Rajiv Jain

Publikováno v: Advances in Knowledge Discovery and Data Mining ISBN: 9783030757649
PAKDD (2)

Event Argument Extraction (EAE) is the task of identifying roles of entity mentions/arguments in events evoked by trigger words. Most existing works have focused on sentence-level EAE, leaving document-level EAE (i.e., event triggers and arguments be

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3855c78c4fb23a3c6a3f6c352820e488
https://doi.org/10.1007/978-3-030-75765-6_56

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Learning to Predict Visual Attributes in the Wild

Autor: Khoi Pham, Kushal Kafle, Ding Zhihong, Scott Cohen, Quan Hung Tran, Abhinav Shrivastava, Zhe Lin

Publikováno v: CVPR

Visual attributes constitute a large portion of information contained in a scene. Objects can be described using a wide variety of attributes which portray their visual appearance (color, texture), geometry (shape, size, posture), and other intrinsic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e087d74ca878ff32405bbe3386b4f86c

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Screening of Antibacterial Activity, Antioxidant Activity, and Anticancer Activity of Euphorbia hirta Linn. Extracts

Autor: Quan Hung Tran, Ly Le, Ngan Tran, Nhi Nguyen, Khanh Le, Minh Nguyen

Publikováno v: Applied Sciences, Vol 10, Iss 8408, p 8408 (2020)
Applied Sciences
Volume 10
Issue 23

This study aimed to screen the anticancer and antioxidant potential and antimicrobial activity of methanol, petroleum ether, chloroform, ethyl acetate, butanol of Euphorbia hirta Linn. extracts (EH-Me, EH-PE, EH-Ch, EH-EA and EH-Bu, respectively). Th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::602363065779019fe51eb283d7c6e6e7
https://www.mdpi.com/2076-3417/10/23/8408

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Scene Graph Modification Based on Natural Language Commands

Autor: Walter Chang, Xuanli He, Quan Hung Tran, Gholamreza Haffari, Trung Bui, Zhe Lin, Nhan Dam, Franck Dernoncourt

Publikováno v: EMNLP (Findings)

Structured representations like graphs and parse trees play a crucial role in many Natural Language Processing systems. In recent years, the advancements in multi-turn user interfaces necessitate the need for controlling and updating these structured

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::434ed31dda999123613e4a2176a7c0b5
http://arxiv.org/abs/2010.02591

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