Haw-Shiuan Chang | DeepAI

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Jiawei Han
140 publications
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Stefanie Jegelka
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Mohit Iyyer
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Hong Yu
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Tong Zhao
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Chenwei Zhang
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Erik Learned-Miller
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Christos Faloutsos
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∙ 09/08/2023

Encoding Multi-Domain Scientific Papers by Ensembling Multiple CLS Tokens

Many useful tasks on scientific documents, such as topic classification ...

0 Ronald Seoh, et al. ∙

∙ 05/20/2023

Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond

Is the output softmax layer, which is adopted by most language models (L...

0 Haw-Shiuan Chang, et al. ∙

∙ 10/10/2022

Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling

Ensembling BERT models often significantly improves accuracy, but at the...

0 Haw-Shiuan Chang, et al. ∙

∙ 09/08/2021

Open Aspect Target Sentiment Classification with Natural Language Prompts

For many business applications, we often seek to analyze sentiments asso...

0 Ronald Seoh, et al. ∙

∙ 03/29/2021

Multi-facet Universal Schema

Universal schema (USchema) assumes that two sentence patterns that share...

7 Rohan Paul, et al. ∙

∙ 03/29/2021

Changing the Mind of Transformers for Topically-Controllable Language Generation

Large Transformer-based language models can aid human authors by suggest...

13 Haw-Shiuan Chang, et al. ∙

∙ 03/29/2021

Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications

Most unsupervised NLP models represent each word with a single point or ...

18 Haw-Shiuan Chang, et al. ∙

∙ 06/24/2020

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types

Can one build a knowledge graph (KG) for all products in the world? Know...

12 Xin Luna Dong, et al. ∙

∙ 11/17/2019

Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition

Existing deep active learning algorithms achieve impressive sampling eff...

9 Haw-Shiuan Chang, et al. ∙

∙ 05/16/2019

The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures

Materials science literature contains millions of materials synthesis pr...

0 Sheshera Mysore, et al. ∙

∙ 12/31/2018

Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks

Leveraging new data sources is a key step in accelerating the pace of ma...

0 Edward Kim, et al. ∙

∙ 04/09/2018

Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings

Word sense induction (WSI), which addresses polysemy by unsupervised dis...

0 Haw-Shiuan Chang, et al. ∙

∙ 11/18/2017

Automatically Extracting Action Graphs from Materials Science Synthesis Procedures

Computational synthesis planning approaches have achieved recent success...

0 Sheshera Mysore, et al. ∙

∙ 10/02/2017

Unsupervised Hypernym Detection by Distributional Inclusion Vector Embedding

Modeling hypernymy, such as poodle is-a dog, is an important generalizat...

0 Haw-Shiuan Chang, et al. ∙

∙ 04/24/2017

Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples

Self-paced learning and hard example mining re-weight training instances...

0 Haw-Shiuan Chang, et al. ∙

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