Search Results for author: Kevin Huang

Found 23 papers, 8 papers with code

MS-Mentions: Consistently Annotating Entity Mentions in Materials Science Procedural Text

no code implementations EMNLP 2021 Tim O’Gorman, Zach Jensen, Sheshera Mysore, Kevin Huang, Rubayyat Mahbub, Elsa Olivetti, Andrew McCallum

Material science synthesis procedures are a promising domain for scientific NLP, as proper modeling of these recipes could provide insight into new ways of creating materials.

named-entity-recognition Named Entity Recognition +1

Entity and Evidence Guided Document-Level Relation Extraction

no code implementations ACL (RepL4NLP) 2021 Kevin Huang, Peng Qi, Guangtao Wang, Tengyu Ma, Jing Huang

In this paper, we propose a novel framework E2GRE (Entity and Evidence Guided Relation Extraction) that jointly extracts relations and the underlying evidence sentences by using large pretrained language model (LM) as input encoder.

Document-level Relation Extraction Language Modelling +1

DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control

1 code implementation13 Oct 2023 Kevin Huang, Rwik Rana, Alexander Spitzer, Guanya Shi, Byron Boots

Precise arbitrary trajectory tracking for quadrotors is challenging due to unknown nonlinear dynamics, trajectory infeasibility, and actuation limits.

Model Predictive Control

Deep Model Predictive Optimization

1 code implementation6 Oct 2023 Jacob Sacks, Rwik Rana, Kevin Huang, Alex Spitzer, Guanya Shi, Byron Boots

A major challenge in robotics is to design robust policies which enable complex and agile behaviors in the real world.

Model Predictive Control

Audio-visual child-adult speaker classification in dyadic interactions

no code implementations3 Oct 2023 Anfeng Xu, Kevin Huang, Tiantian Feng, Helen Tager-Flusberg, Shrikanth Narayanan

Building on the foundation of an audio-only child-adult speaker classification pipeline, we propose incorporating visual cues through active speaker detection and visual processing models.

Classification

Automatic Gradient Descent: Deep Learning without Hyperparameters

1 code implementation11 Apr 2023 Jeremy Bernstein, Chris Mingard, Kevin Huang, Navid Azizan, Yisong Yue

Automatic gradient descent trains both fully-connected and convolutional networks out-of-the-box and at ImageNet scale.

Second-order methods

Augmenting Scientific Creativity with Retrieval across Knowledge Domains

1 code implementation2 Jun 2022 Hyeonsu B. Kang, Sheshera Mysore, Kevin Huang, Haw-Shiuan Chang, Thorben Prein, Andrew McCallum, Aniket Kittur, Elsa Olivetti

Exposure to ideas in domains outside a scientist's own may benefit her in reformulating existing research problems in novel ways and discovering new application domains for existing solution ideas.

Retrieval

CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning

1 code implementation14 Dec 2021 Kevin Huang, Sahin Lale, Ugo Rosolia, Yuanyuan Shi, Anima Anandkumar

It then uses the top trajectories as initialization for gradient descent and applies gradient updates to each of these trajectories to find the optimal action sequence.

Continuous Control Model-based Reinforcement Learning +1

Towards Cross-Cultural Analysis using Music Information Dynamics

no code implementations24 Nov 2021 Shlomo Dubnov, Kevin Huang, Cheng-i Wang

The framework is based on an Music Information Dynamics model, a Variable Markov Oracle (VMO), and is extended with a variational representation learning of audio.

Representation Learning

Multiple regression techniques for modeling dates of first performances of Shakespeare-era plays

no code implementations13 Apr 2021 Pablo Moscato, Hugh Craig, Gabriel Egan, Mohammad Nazmul Haque, Kevin Huang, Julia Sloan, Jon Corrales de Oliveira

In this study, we took a set of Shakespeare-era plays (181 plays from the period 1585--1610), added the best-guess dates for them from a standard reference work as metadata, and calculated a set of probabilities of individual words in these samples.

regression

Learning to extrapolate using continued fractions: Predicting the critical temperature of superconductor materials

no code implementations27 Nov 2020 Pablo Moscato, Mohammad Nazmul Haque, Kevin Huang, Julia Sloan, Jon C. de Oliveira

We refer to $S$ as the training set and aim to identify a low-complexity mathematical model that can effectively approximate this target function for new instances $\mathbf{x}$.

regression

Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling

1 code implementation21 Oct 2020 Wenxuan Zhou, Kevin Huang, Tengyu Ma, Jing Huang

In this paper, we propose two novel techniques, adaptive thresholding and localized context pooling, to solve the multi-label and multi-entity problems.

Document-level Relation Extraction Multi-Label Classification +2

Entity and Evidence Guided Relation Extraction for DocRED

no code implementations27 Aug 2020 Kevin Huang, Guangtao Wang, Tengyu Ma, Jing Huang

Document-level relation extraction is a challenging task which requires reasoning over multiple sentences in order to predict relations in a document.

Document-level Relation Extraction Language Modelling +1

Improving Neural Language Generation with Spectrum Control

no code implementations ICLR 2020 Lingxiao Wang, Jing Huang, Kevin Huang, Ziniu Hu, Guangtao Wang, Quanquan Gu

Recent Transformer-based models such as Transformer-XL and BERT have achieved huge success on various natural language processing tasks.

Language Modelling Machine Translation +2

Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents

1 code implementation1 Nov 2019 Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bo-Wen Zhou

Interpretable multi-hop reading comprehension (RC) over multiple documents is a challenging problem because it demands reasoning over multiple information sources and explaining the answer prediction by providing supporting evidences.

Learning-To-Rank Multi-Hop Reading Comprehension +2

Relation Module for Non-answerable Prediction on Question Answering

no code implementations23 Oct 2019 Kevin Huang, Yun Tang, Jing Huang, Xiaodong He, Bo-Wen Zhou

In this paper, we aim to improve a MRC model's ability to determine whether a question has an answer in a given context (e. g. the recently proposed SQuAD 2. 0 task).

Machine Reading Comprehension Question Answering +3

ParaNet - Using Dense Blocks for Early Inference

no code implementations24 Aug 2018 Joseph Chuang, Eric Tsai, Kevin Huang, Jay Fetter

DenseNets have been shown to be a competitive model among recent convolutional network architectures.

Automatically Extracting Action Graphs from Materials Science Synthesis Procedures

no code implementations18 Nov 2017 Sheshera Mysore, Edward Kim, Emma Strubell, Ao Liu, Haw-Shiuan Chang, Srikrishna Kompella, Kevin Huang, Andrew McCallum, Elsa Olivetti

In this work, we present a system for automatically extracting structured representations of synthesis procedures from the texts of materials science journal articles that describe explicit, experimental syntheses of inorganic compounds.

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