Search Results for author: Xiangru Tang

Found 15 papers, 5 papers with code

Categorizing Offensive Language in Social Networks: A Chinese Corpus, Systems and an Explainable Tool

no code implementations CCL 2020 Xiangru Tang, Xianjun Shen

Recently, more and more data have been generated in the online world, filled with offensive language such as threats, swear words or straightforward insults.

EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts

1 code implementation13 Apr 2022 Irene Li, Keen You, Xiangru Tang, Yujie Qiao, Lucas Huang, Chia-Chun Hsieh, Benjamin Rosand, Dragomir Radev

The Electronic Health Record (EHR) is an essential part of the modern medical system and impacts healthcare delivery, operations, and research.

Information Retrieval Machine Translation +4

CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning

no code implementations16 Dec 2021 Xiangru Tang, Arjun Nair, Borui Wang, Bingyao Wang, Jai Desai, Aaron Wade, Haoran Li, Asli Celikyilmaz, Yashar Mehdad, Dragomir Radev

Using human evaluation and automatic faithfulness metrics, we show that our model significantly reduces all kinds of factual errors on the dialogue summarization, SAMSum corpus.

Abstractive Dialogue Summarization Meeting Summarization +1

Surfer100: Generating Surveys From Web Resources, Wikipedia-style

no code implementations13 Dec 2021 Irene Li, Alexander Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir Radev

Fast-developing fields such as Artificial Intelligence (AI) often outpace the efforts of encyclopedic sources such as Wikipedia, which either do not completely cover recently-introduced topics or lack such content entirely.

Language Modelling

Improving RNA Secondary Structure Design using Deep Reinforcement Learning

no code implementations5 Nov 2021 Alexander Whatley, Zhekun Luo, Xiangru Tang

Rising costs in recent years of developing new drugs and treatments have led to extensive research in optimization techniques in biomolecular design.

reinforcement-learning

Multi-modal Self-supervised Pre-training for Regulatory Genome Across Cell Types

no code implementations11 Oct 2021 Shentong Mo, Xi Fu, Chenyang Hong, Yizhen Chen, Yuxuan Zheng, Xiangru Tang, Zhiqiang Shen, Eric P Xing, Yanyan Lan

The core problem is to model how regulatory elements interact with each other and its variability across different cell types.

Multi-modal Self-supervised Pre-training for Large-scale Genome Data

no code implementations NeurIPS Workshop AI4Scien 2021 Shentong Mo, Xi Fu, Chenyang Hong, Yizhen Chen, Yuxuan Zheng, Xiangru Tang, Yanyan Lan, Zhiqiang Shen, Eric Xing

In this work, we propose a simple yet effective approach for pre-training genome data in a multi-modal and self-supervised manner, which we call GeneBERT.

Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries

no code implementations19 Sep 2021 Xiangru Tang, Alexander R. Fabbri, Ziming Mao, Griffin Adams, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir Radev

Current pre-trained models applied to summarization are prone to factual inconsistencies which either misrepresent the source text or introduce extraneous information.

FeTaQA: Free-form Table Question Answering

1 code implementation1 Apr 2021 Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryściński, Nick Schoelkopf, Riley Kong, Xiangru Tang, Murori Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, Dragomir Radev

Existing table question answering datasets contain abundant factual questions that primarily evaluate the query and schema comprehension capability of a system, but they fail to include questions that require complex reasoning and integration of information due to the constraint of the associated short-form answers.

Question Answering Semantic Parsing +1

FILM: A Fast, Interpretable, and Low-rank Metric Learning Approach for Sentence Matching

no code implementations12 Oct 2020 Xiangru Tang, Alan Aw

We construct this metric learning problem as a manifold optimization problem and solve it with the Cayley transformation method with the Barzilai-Borwein step size.

Metric Learning Semantic Similarity +1

Multi-Granularity Modularized Network for Abstract Visual Reasoning

no code implementations9 Jul 2020 Xiangru Tang, Haoyuan Wang, Xiang Pan, Jiyang Qi

Abstract visual reasoning connects mental abilities to the physical world, which is a crucial factor in cognitive development.

Visual Grounding Visual Reasoning

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