Search Results for author: Fei Xia

Found 95 papers, 41 papers with code

Enhancing Structure-aware Encoder with Extremely Limited Data for Graph-based Dependency Parsing

1 code implementation COLING 2022 Yuanhe Tian, Yan Song, Fei Xia

Dependency parsing is an important fundamental natural language processing task which analyzes the syntactic structure of an input sentence by illustrating the syntactic relations between words.

Dependency Parsing

Syntax-driven Approach for Semantic Role Labeling

1 code implementation LREC 2022 Yuanhe Tian, Han Qin, Fei Xia, Yan Song

To achieve a better performance in SRL, a model is always required to have a good understanding of the context information.

POS Semantic Role Labeling

Complementary Learning of Aspect Terms for Aspect-based Sentiment Analysis

1 code implementation LREC 2022 Han Qin, Yuanhe Tian, Fei Xia, Yan Song

Aspect-based sentiment analysis (ABSA) aims to predict the sentiment polarity towards a given aspect term in a sentence on the fine-grained level, which usually requires a good understanding of contextual information, especially appropriately distinguishing of a given aspect and its contexts, to achieve good performance.

Aspect-Based Sentiment Analysis (ABSA)

ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes

1 code implementation ECCV 2020 Panos Achlioptas, Ahmed Abdelreheem, Fei Xia, Mohamed Elhoseiny, Leonidas Guibas

Due to the scarcity and unsuitability of existent 3D-oriented linguistic resources for this task, we first develop two large-scale and complementary visio-linguistic datasets: i) extbf{ extit{Sr3D}}, which contains 83. 5K template-based utterances leveraging extit{spatial relations} with other fine-grained object classes to localize a referred object in a given scene, and ii) extbf{ extit{Nr3D}} which contains 41. 5K extit{natural, free-form}, utterances collected by deploying a 2-player object reference game in 3D scenes.

VPAI_Lab at MedVidQA 2022: A Two-Stage Cross-modal Fusion Method for Medical Instructional Video Classification

1 code implementation BioNLP (ACL) 2022 Bin Li, Yixuan Weng, Fei Xia, Bin Sun, Shutao Li

Given an input video, the MedVidCL task aims to correctly classify it into one of three following categories: Medical Instructional, Medical Non-instructional, and Non-medical.

Video Classification

A Knowledge storage and semantic space alignment Method for Multi-documents dialogue generation

no code implementations dialdoc (ACL) 2022 Minjun Zhu, Bin Li, Yixuan Weng, Fei Xia

Question Answering (QA) is a Natural Language Processing (NLP) task that can measure language and semantics understanding ability, it requires a system not only to retrieve relevant documents from a large number of articles but also to answer corresponding questions according to documents.

Dialogue Generation Language Modelling +3

Improving Relation Extraction through Syntax-induced Pre-training with Dependency Masking

1 code implementation Findings (ACL) 2022 Yuanhe Tian, Yan Song, Fei Xia

Relation extraction (RE) is an important natural language processing task that predicts the relation between two given entities, where a good understanding of the contextual information is essential to achieve an outstanding model performance.

Relation Extraction Word Embeddings

Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and Hear

1 code implementation1 Jun 2023 Ruohan Gao, Hao Li, Gokul Dharan, Zhuzhu Wang, Chengshu Li, Fei Xia, Silvio Savarese, Li Fei-Fei, Jiajun Wu

We introduce Sonicverse, a multisensory simulation platform with integrated audio-visual simulation for training household agents that can both see and hear.

Multi-Task Learning Visual Navigation

IMBUE: In-Memory Boolean-to-CUrrent Inference ArchitecturE for Tsetlin Machines

no code implementations22 May 2023 Omar Ghazal, Simranjeet Singh, Tousif Rahman, Shengqi Yu, Yujin Zheng, Domenico Balsamo, Sachin Patkar, Farhad Merchant, Fei Xia, Alex Yakovlev, Rishad Shafik

Non-volatile memory devices such as Resistive RAM (ReRAM) offer integrated switching and storage capabilities showing promising performance for ML applications.

Large Language Models Need Holistically Thought in Medical Conversational QA

1 code implementation9 May 2023 Yixuan Weng, Bin Li, Fei Xia, Minjun Zhu, Bin Sun, Shizhu He, Kang Liu, Jun Zhao

The medical conversational question answering (CQA) system aims at providing a series of professional medical services to improve the efficiency of medical care.

Conversational Question Answering

Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks

1 code implementation4 Apr 2023 Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao

Language models (LMs) proficiency in handling deterministic symbolic reasoning and rule-based tasks remains limited due to their dependency implicit learning on textual data.

Arithmetic Reasoning Language Modelling

Open-World Object Manipulation using Pre-trained Vision-Language Models

no code implementations2 Mar 2023 Austin Stone, Ted Xiao, Yao Lu, Keerthana Gopalakrishnan, Kuang-Huei Lee, Quan Vuong, Paul Wohlhart, Brianna Zitkovich, Fei Xia, Chelsea Finn, Karol Hausman

This brings up a notably difficult challenge for robots: while robot learning approaches allow robots to learn many different behaviors from first-hand experience, it is impractical for robots to have first-hand experiences that span all of this semantic information.

Language Modelling

Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control

no code implementations1 Mar 2023 Wenlong Huang, Fei Xia, Dhruv Shah, Danny Driess, Andy Zeng, Yao Lu, Pete Florence, Igor Mordatch, Sergey Levine, Karol Hausman, Brian Ichter

Recent progress in large language models (LLMs) has demonstrated the ability to learn and leverage Internet-scale knowledge through pre-training with autoregressive models.

Language Modelling Text Generation

Scaling Robot Learning with Semantically Imagined Experience

no code implementations22 Feb 2023 Tianhe Yu, Ted Xiao, Austin Stone, Jonathan Tompson, Anthony Brohan, Su Wang, Jaspiar Singh, Clayton Tan, Dee M, Jodilyn Peralta, Brian Ichter, Karol Hausman, Fei Xia

Specifically, we make use of the state of the art text-to-image diffusion models and perform aggressive data augmentation on top of our existing robotic manipulation datasets via inpainting various unseen objects for manipulation, backgrounds, and distractors with text guidance.

Data Augmentation

Large Language Models are Better Reasoners with Self-Verification

1 code implementation19 Dec 2022 Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao

Recently, with the chain of thought (CoT) prompting, large language models (LLMs), e. g., GPT-3, have shown strong reasoning ability in several natural language processing tasks such as arithmetic, commonsense, and logical reasoning.

Arithmetic Reasoning Common Sense Reasoning +3

Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization

no code implementations19 Oct 2022 Thomas Lew, Sumeet Singh, Mario Prats, Jeffrey Bingham, Jonathan Weisz, Benjie Holson, Xiaohan Zhang, Vikas Sindhwani, Yao Lu, Fei Xia, Peng Xu, Tingnan Zhang, Jie Tan, Montserrat Gonzalez

This problem is challenging, as it requires planning wiping actions while reasoning over uncertain latent dynamics of crumbs and spills captured via high-dimensional visual observations.

reinforcement-learning Reinforcement Learning (RL)

Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation

no code implementations22 Sep 2022 Xuesu Xiao, Tingnan Zhang, Krzysztof Choromanski, Edward Lee, Anthony Francis, Jake Varley, Stephen Tu, Sumeet Singh, Peng Xu, Fei Xia, Sven Mikael Persson, Dmitry Kalashnikov, Leila Takayama, Roy Frostig, Jie Tan, Carolina Parada, Vikas Sindhwani

Despite decades of research, existing navigation systems still face real-world challenges when deployed in the wild, e. g., in cluttered home environments or in human-occupied public spaces.

Imitation Learning

6D Camera Relocalization in Visually Ambiguous Extreme Environments

no code implementations13 Jul 2022 Yang Zheng, Tolga Birdal, Fei Xia, Yanchao Yang, Yueqi Duan, Leonidas J. Guibas

To this end, we propose: (i) a hierarchical localization system, where we leverage temporal information and (ii) a novel environment-aware image enhancement method to boost the robustness and accuracy.

Camera Relocalization Image Enhancement

BEHAVIOR in Habitat 2.0: Simulator-Independent Logical Task Description for Benchmarking Embodied AI Agents

no code implementations13 Jun 2022 Ziang Liu, Roberto Martín-Martín, Fei Xia, Jiajun Wu, Li Fei-Fei

Robots excel in performing repetitive and precision-sensitive tasks in controlled environments such as warehouses and factories, but have not been yet extended to embodied AI agents providing assistance in household tasks.

Benchmarking

LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs

1 code implementation20 Apr 2022 Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Kang Liu, Bin Sun, Shutao Li, Jun Zhao

The medical conversational system can relieve the burden of doctors and improve the efficiency of healthcare, especially during the pandemic.

Conversational Question Answering Dialogue Generation +3

Towards Better Chinese-centric Neural Machine Translation for Low-resource Languages

1 code implementation9 Apr 2022 Bin Li, Yixuan Weng, Fei Xia, Hanjun Deng

The last decade has witnessed enormous improvements in science and technology, stimulating the growing demand for economic and cultural exchanges in various countries.

Machine Translation NMT +3

Multi-Robot Active Mapping via Neural Bipartite Graph Matching

no code implementations CVPR 2022 Kai Ye, Siyan Dong, Qingnan Fan, He Wang, Li Yi, Fei Xia, Jue Wang, Baoquan Chen

Previous approaches either choose the frontier as the goal position via a myopic solution that hinders the time efficiency, or maximize the long-term value via reinforcement learning to directly regress the goal position, but does not guarantee the complete map construction.

Graph Matching reinforcement-learning +1

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

5 code implementations28 Jan 2022 Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc Le, Denny Zhou

We explore how generating a chain of thought -- a series of intermediate reasoning steps -- significantly improves the ability of large language models to perform complex reasoning.

GSM8K Language Modelling

ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing

1 code implementation8 Dec 2021 Yixuan Weng, Fei Xia, Bin Li, Xiusheng Huang, Shizhu He

To address the above issue, this paper proposes an new method for acronym disambiguation, named as ADBCMM, which can significantly improve the performance of low-resource languages by building counterfactuals and multilingual mixing.

PSG: Prompt-based Sequence Generation for Acronym Extraction

no code implementations29 Nov 2021 Bin Li, Fei Xia, Yixuan Weng, Xiusheng Huang, Bin Sun, Shutao Li

In this paper, we propose a Prompt-based Sequence Generation (PSG) method for the acronym extraction task.

Language Modelling

SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation

no code implementations29 Nov 2021 Bin Li, Fei Xia, Yixuan Weng, Xiusheng Huang, Bin Sun

In this paper, we propose a Simple framework for Contrastive Learning of Acronym Disambiguation (SimCLAD) method to better understand the acronym meanings.

Contrastive Learning

Extracting and Inferring Personal Attributes from Dialogue

1 code implementation NLP4ConvAI (ACL) 2022 Zhilin Wang, Xuhui Zhou, Rik Koncel-Kedziorski, Alex Marin, Fei Xia

Personal attributes represent structured information about a person, such as their hobbies, pets, family, likes and dislikes.

Language Modelling

Auto-Split: A General Framework of Collaborative Edge-Cloud AI

1 code implementation30 Aug 2021 Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang

At the same time, large amounts of input data are collected at the edge of cloud.

iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks

1 code implementation6 Aug 2021 Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese

We evaluate the new capabilities of iGibson 2. 0 to enable robot learning of novel tasks, in the hope of demonstrating the potential of this new simulator to support new research in embodied AI.

Imitation Learning

BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments

no code implementations6 Aug 2021 Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martín-Martín, Fei Xia, Kent Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei

We introduce BEHAVIOR, a benchmark for embodied AI with 100 activities in simulation, spanning a range of everyday household chores such as cleaning, maintenance, and food preparation.

A Masked Segmental Language Model for Unsupervised Natural Language Segmentation

1 code implementation NAACL (SIGMORPHON) 2022 C. M. Downey, Fei Xia, Gina-Anne Levow, Shane Steinert-Threlkeld

Segmentation remains an important preprocessing step both in languages where "words" or other important syntactic/semantic units (like morphemes) are not clearly delineated by white space, as well as when dealing with continuous speech data, where there is often no meaningful pause between words.

Language Modelling

QoS-Aware Power Minimization of Distributed Many-Core Servers using Transfer Q-Learning

no code implementations2 Feb 2021 Dainius Jenkus, Fei Xia, Rishad Shafik, Alex Yakovlev

Then, it is coupled with vertical scaling using transfer Q-learning, which further tunes power/performance based on workload profile using dynamic voltage/frequency scaling (DVFS).

Q-Learning

Towards Accurate Active Camera Localization

1 code implementation8 Dec 2020 Qihang Fang, Yingda Yin, Qingnan Fan, Fei Xia, Siyan Dong, Sheng Wang, Jue Wang, Leonidas Guibas, Baoquan Chen

These approaches localize the camera in the discrete pose space and are agnostic to the localization-driven scene property, which restricts the camera pose accuracy in the coarse scale.

Camera Localization Pose Estimation +1

Joint Chinese Word Segmentation and Part-of-speech Tagging via Multi-channel Attention of Character N-grams

1 code implementation COLING 2020 Yuanhe Tian, Yan Song, Fei Xia

However, their work on modeling such contextual features is limited to concatenating the features or their embeddings directly with the input embeddings without distinguishing whether the contextual features are important for the joint task in the specific context.

Chinese Word Segmentation Part-Of-Speech Tagging +1

Summarizing Medical Conversations via Identifying Important Utterances

1 code implementation COLING 2020 Yan Song, Yuanhe Tian, Nan Wang, Fei Xia

For the particular dataset used in this study, we show that high-quality summaries can be generated by extracting two types of utterances, namely, problem statements and treatment recommendations.

NLPStatTest: A Toolkit for Comparing NLP System Performance

1 code implementation Asian Chapter of the Association for Computational Linguistics 2020 Haotian Zhu, Denise Mak, Jesse Gioannini, Fei Xia

The toolkit provides a convenient and systematic way to compare NLP system performance that goes beyond statistical significance testing

Improving Biomedical Named Entity Recognition with Syntactic Information

1 code implementation BMC Bioinformatics 2020 Yuanhe Tian, Wang Shen, Yan Song, Fei Xia, Min He, Kenli Li

The experimental results on six English benchmark datasets demonstrate that auto-processed syntactic information can be a useful resource for BioNER and our method with KVMN can appropriately leverage such information to improve model performance.

named-entity-recognition Named Entity Recognition +2

Improving Constituency Parsing with Span Attention

1 code implementation Findings of the Association for Computational Linguistics 2020 Yuanhe Tian, Yan Song, Fei Xia, Tong Zhang

Constituency parsing is a fundamental and important task for natural language understanding, where a good representation of contextual information can help this task.

Constituency Parsing Natural Language Understanding

Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks

1 code implementation EMNLP 2020 Yuanhe Tian, Yan Song, Fei Xia

Specifically, we build the graph from chunks (n-grams) extracted from a lexicon and apply attention over the graph, so that different word pairs from the contexts within and across chunks are weighted in the model and facilitate the supertagging accordingly.

CCG Supertagging

ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation

no code implementations18 Aug 2020 Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese

To validate our method, we apply ReLMoGen to two types of tasks: 1) Interactive Navigation tasks, navigation problems where interactions with the environment are required to reach the destination, and 2) Mobile Manipulation tasks, manipulation tasks that require moving the robot base.

Continuous Control Hierarchical Reinforcement Learning +2

Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge

1 code implementation ACL 2020 Yuanhe Tian, Yan Song, Xiang Ao, Fei Xia, Xiaojun Quan, Tong Zhang, Yonggang Wang

Chinese word segmentation (CWS) and part-of-speech (POS) tagging are important fundamental tasks for Chinese language processing, where joint learning of them is an effective one-step solution for both tasks.

Chinese Word Segmentation Part-Of-Speech Tagging +1

Interactive Gibson Benchmark (iGibson 0.5): A Benchmark for Interactive Navigation in Cluttered Environments

1 code implementation30 Oct 2019 Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Li Fei-Fei, Roberto Martín-Martín, Silvio Savarese

We present Interactive Gibson Benchmark, the first comprehensive benchmark for training and evaluating Interactive Navigation: robot navigation strategies where physical interaction with objects is allowed and even encouraged to accomplish a task.

Robot Navigation

HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators

1 code implementation24 Oct 2019 Chengshu Li, Fei Xia, Roberto Martin-Martin, Silvio Savarese

Different from other HRL solutions, HRL4IN handles the heterogeneous nature of the Interactive Navigation task by creating subgoals in different spaces in different phases of the task.

Hierarchical Reinforcement Learning reinforcement-learning +1

Neural Network Design for Energy-Autonomous AI Applications using Temporal Encoding

no code implementations15 Oct 2019 Sergey Mileiko, Thanasin Bunnam, Fei Xia, Rishad Shafik, Alex Yakovlev, Shidhartha Das

We design a PWM-based perceptron which can serve as the fundamental building block for NNs, by using an entirely new method of realising arithmetic in the PWM domain.

WTMED at MEDIQA 2019: A Hybrid Approach to Biomedical Natural Language Inference

1 code implementation WS 2019 Zhaofeng Wu, Yan Song, Sicong Huang, Yuanhe Tian, Fei Xia

Natural language inference (NLI) is challenging, especially when it is applied to technical domains such as biomedical settings.

Natural Language Inference

ChiMed: A Chinese Medical Corpus for Question Answering

1 code implementation WS 2019 Yuanhe Tian, Weicheng Ma, Fei Xia, Yan Song

Question answering (QA) is a challenging task in natural language processing (NLP), especially when it is applied to specific domains.

Question Answering

PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking

1 code implementation22 May 2019 Xinke Deng, Arsalan Mousavian, Yu Xiang, Fei Xia, Timothy Bretl, Dieter Fox

In this work, we formulate the 6D object pose tracking problem in the Rao-Blackwellized particle filtering framework, where the 3D rotation and the 3D translation of an object are decoupled.

6D Pose Estimation 6D Pose Estimation using RGB +2

Composite Shape Modeling via Latent Space Factorization

no code implementations ICCV 2019 Anastasia Dubrovina, Fei Xia, Panos Achlioptas, Mira Shalah, Raphael Groscot, Leonidas Guibas

We present a novel neural network architecture, termed Decomposer-Composer, for semantic structure-aware 3D shape modeling.

3D Shape Modeling

Gibson Env: Real-World Perception for Embodied Agents

5 code implementations CVPR 2018 Fei Xia, Amir Zamir, Zhi-Yang He, Alexander Sax, Jitendra Malik, Silvio Savarese

Developing visual perception models for active agents and sensorimotor control are cumbersome to be done in the physical world, as existing algorithms are too slow to efficiently learn in real-time and robots are fragile and costly.

Domain Adaptation General Reinforcement Learning +1

VUNet: Dynamic Scene View Synthesis for Traversability Estimation using an RGB Camera

no code implementations22 Jun 2018 Noriaki Hirose, Amir Sadeghian, Fei Xia, Roberto Martin-Martin, Silvio Savarese

We present VUNet, a novel view(VU) synthesis method for mobile robots in dynamic environments, and its application to the estimation of future traversability.

Autonomous Vehicles

NeuralFDR: Learning Discovery Thresholds from Hypothesis Features

1 code implementation NeurIPS 2017 Fei Xia, Martin J. Zhang, James Zou, David Tse

For example, in genetic association studies, each hypothesis tests the correlation between a variant and the trait.

Learning Word Representations with Regularization from Prior Knowledge

no code implementations CONLL 2017 Yan Song, Chia-Jung Lee, Fei Xia

This paper presents a unified framework that leverages pre-learned or external priors, in the form of a regularizer, for enhancing conventional language model-based embedding learning.

Language Modelling Learning Word Embeddings +3

Capturing divergence in dependency trees to improve syntactic projection

no code implementations14 May 2016 Ryan Georgi, Fei Xia, William D. Lewis

These patterns can then be used to improve structural projection algorithms, allowing for better performing NLP tools for resource-poor languages, in particular those that may not have large amounts of annotated data necessary for traditional, fully-supervised methods.

Word Alignment

Annotating and Detecting Medical Events in Clinical Notes

no code implementations LREC 2016 Prescott Klassen, Fei Xia, Meliha Yetisgen

Early detection and treatment of diseases that onset after a patient is admitted to a hospital, such as pneumonia, is critical to improving and reducing costs in healthcare.

Annotating Clinical Events in Text Snippets for Phenotype Detection

no code implementations LREC 2014 Prescott Klassen, Fei Xia, V, Lucy erwende, Meliha Yetisgen

Early detection and treatment of diseases that onset after a patient is admitted to a hospital, such as pneumonia, is critical to improving and reducing costs in healthcare.

Pneumonia Detection

Enriching ODIN

no code implementations LREC 2014 Fei Xia, William Lewis, Michael Wayne Goodman, Joshua Crowgey, Emily M. Bender

In this paper, we describe the expansion of the ODIN resource, a database containing many thousands of instances of Interlinear Glossed Text (IGT) for over a thousand languages harvested from scholarly linguistic papers posted to the Web.

Statistical Section Segmentation in Free-Text Clinical Records

no code implementations LREC 2012 Michael Tepper, Daniel Capurro, Fei Xia, V, Lucy erwende, Meliha Yetisgen-Yildiz

Automatically segmenting and classifying clinical free text into sections is an important first step to automatic information retrieval, information extraction and data mining tasks, as it helps to ground the significance of the text within.

General Classification Information Retrieval +3

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