Search Results for author: Francine Chen

Found 15 papers, 2 papers with code

Understanding the Cognitive Complexity in Language Elicited by Product Images

1 code implementation25 Sep 2024 Yan-Ying Chen, Shabnam Hakimi, Monica Van, Francine Chen, Matthew Hong, Matt Klenk, Charlene Wu

Product images (e. g., a phone) can be used to elicit a diverse set of consumer-reported features expressed through language, including surface-level perceptual attributes (e. g., "white") and more complex ones, like perceived utility (e. g., "battery").

Descriptive

Understanding and Shifting Preferences for Battery Electric Vehicles

no code implementations9 Feb 2022 Nikos Arechiga, Francine Chen, Rumen Iliev, Emily Sumner, Scott Carter, Alex Filipowicz, Nayeli Bravo, Monica Van, Kate Glazko, Kalani Murakami, Laurent Denoue, Candice Hogan, Katharine Sieck, Charlene Wu, Kent Lyons

In this work, we focus on methods for personalizing interventions based on an individual's demographics to shift the preferences of consumers to be more positive towards Battery Electric Vehicles (BEVs).

Reinforcement Learning (RL)

Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data

no code implementations EACL (AdaptNLP) 2021 Sanjeev Kumar Karn, Francine Chen, Yan-Ying Chen, Ulli Waltinger, Hinrich Schuetze

Interleaved texts, where posts belonging to different threads occur in a sequence, commonly occur in online chat posts, so that it can be time-consuming to quickly obtain an overview of the discussions.

Decoder Disentanglement +2

A Visual Analytics Framework for Contrastive Network Analysis

no code implementations1 Aug 2020 Takanori Fujiwara, Jian Zhao, Francine Chen, Kwan-Liu Ma

A common network analysis task is comparison of two networks to identify unique characteristics in one network with respect to the other.

BIG-bench Machine Learning Contrastive Learning +1

Thoracic Disease Identification and Localization using Distance Learning and Region Verification

no code implementations7 Jun 2020 Cheng Zhang, Francine Chen, Yan-Ying Chen

In this paper, we propose an alternative approach that learns discriminative features among triplets of images and cyclically trains on region features to verify whether attentive regions contain information indicative of a disease.

Classification General Classification

Network Comparison with Interpretable Contrastive Network Representation Learning

3 code implementations25 May 2020 Takanori Fujiwara, Jian Zhao, Francine Chen, Yao-Liang Yu, Kwan-Liu Ma

This analysis task could be greatly assisted by contrastive learning, which is an emerging analysis approach to discover salient patterns in one dataset relative to another.

Contrastive Learning Representation Learning

Generating Multi-Sentence Abstractive Summaries of Interleaved Texts

no code implementations25 Sep 2019 Sanjeev Kumar Karn, Francine Chen, Yan-Ying Chen, Ulli Waltinger, Hinrich Schütze

The interleaved posts are encoded hierarchically, i. e., word-to-word (words in a post) followed by post-to-post (posts in a channel).

Decoder Disentanglement +1

Addressing Data Bias Problems for Chest X-ray Image Report Generation

no code implementations6 Aug 2019 Philipp Harzig, Yan-Ying Chen, Francine Chen, Rainer Lienhart

Automatic medical report generation from chest X-ray images is one possibility for assisting doctors to reduce their workload.

Medical Report Generation Sentence

A Hierarchical Decoder with Three-level Hierarchical Attention to Generate Abstractive Summaries of Interleaved Texts

no code implementations5 Jun 2019 Sanjeev Kumar Karn, Francine Chen, Yan-Ying Chen, Ulli Waltinger, Hinrich Schütze

Interleaved texts, where posts belonging to different threads occur in one sequence, are a common occurrence, e. g., online chat conversations.

Decoder

Corpus for Customer Purchase Behavior Prediction in Social Media

no code implementations LREC 2016 Shigeyuki Sakaki, Francine Chen, M Korpusik, y, Yan-Ying Chen

These posts may include information about the purchase activity of people, and insights useful to companies can be derived from them: e. g. profile information of a user who mentioned something about their product.

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