b'Wenhan Xiong'

Unsupervised Multi-hop Question Answering by Question Generation

Obtaining training data for Multi-hop Question Answering (QA) is extreme...
10/23/2020 ∙ by Liangming Pan, et al. ∙ 0 ∙ share

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Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval

We propose a simple and efficient multi-hop dense retrieval approach for...
09/27/2020 ∙ by Wenhan Xiong, et al. ∙ 0 ∙ share

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Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering

To extract answers from a large corpus, open-domain question answering (...
04/30/2020 ∙ by Wenhan Xiong, et al. ∙ 0 ∙ share

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HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data

Existing question answering datasets focus on dealing with homogeneous i...
04/15/2020 ∙ by Wenhu Chen, et al. ∙ 1 ∙ share

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Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games

We propose the new problem of learning to recover reasoning chains from ...
04/06/2020 ∙ by Yufei Feng, et al. ∙ 0 ∙ share

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Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model

Recent breakthroughs of pretrained language models have shown the effect...
12/20/2019 ∙ by Wenhan Xiong, et al. ∙ 0 ∙ share

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Do Multi-hop Readers Dream of Reasoning Chains?

General Question Answering (QA) systems over texts require the multi-hop...
10/31/2019 ∙ by Haoyu Wang, et al. ∙ 0 ∙ share

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Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering

A key challenge of multi-hop question answering (QA) in the open-domain ...
09/17/2019 ∙ by Wenhan Xiong, et al. ∙ 0 ∙ share

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Towards Open-Domain Named Entity Recognition via Neural Correction Models

Named Entity Recognition (NER) plays an important role in a wide range o...
09/13/2019 ∙ by Mengdi Zhu, et al. ∙ 0 ∙ share

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Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification

Many tasks in natural language processing can be viewed as multi-label c...
09/09/2019 ∙ by Jiawei Wu, et al. ∙ 0 ∙ share

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Meta Reasoning over Knowledge Graphs

The ability to reason over learned knowledge is an innate ability for hu...
08/13/2019 ∙ by Hong Wang, et al. ∙ 0 ∙ share

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TWEETQA: A Social Media Focused Question Answering Dataset

With social media becoming increasingly pop-ular on which lots of news a...
07/14/2019 ∙ by Wenhan Xiong, et al. ∙ 0 ∙ share

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Self-Supervised Learning for Contextualized Extractive Summarization

Existing models for extractive summarization are usually trained from sc...
06/11/2019 ∙ by Hong Wang, et al. ∙ 0 ∙ share

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Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader

We propose a new end-to-end question answering model, which learns to ag...
05/17/2019 ∙ by Wenhan Xiong, et al. ∙ 5 ∙ share

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Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing

Existing entity typing systems usually exploit the type hierarchy provid...
03/06/2019 ∙ by Wenhan Xiong, et al. ∙ 0 ∙ share

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Sentence Embedding Alignment for Lifelong Relation Extraction

Conventional approaches to relation extraction usually require a fixed s...
03/06/2019 ∙ by Hong Wang, et al. ∙ 0 ∙ share

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SafeRoute: Learning to Navigate Streets Safely in an Urban Environment

Recent studies show that 85 avoid harassment and assault. Despite this, ...
11/03/2018 ∙ by Sharon Levy, et al. ∙ 0 ∙ share

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One-Shot Relational Learning for Knowledge Graphs

Knowledge graphs (KGs) are the key components of various natural languag...
08/27/2018 ∙ by Wenhan Xiong, et al. ∙ 0 ∙ share

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Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents

We investigate the task of learning to follow natural language instructi...
06/16/2018 ∙ by Wenhan Xiong, et al. ∙ 0 ∙ share

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Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation

Existing research studies on vision and language grounding for robot nav...
03/21/2018 ∙ by Xin Wang, et al. ∙ 0 ∙ share

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Variational Knowledge Graph Reasoning

Inferring missing links in knowledge graphs (KG) has attracted a lot of ...
03/17/2018 ∙ by Wenhu Chen, et al. ∙ 0 ∙ share

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DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning

We study the problem of learning to reason in large scale knowledge grap...
07/20/2017 ∙ by Wenhan Xiong, et al. ∙ 0 ∙ share

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Wenhan Xiong

Featured Co-authors

Xin Wang

William Yang Wang

Sebastian Riedel

Mo Yu

Shiyu Chang

Bowen Zhou

Haoyu Wang

Douwe Kiela

Ming Zhang

Xiaodan Zhu

Xiaoxiao Guo

Unsupervised Multi-hop Question Answering by Question Generation

Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval

Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering

HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data

Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games

Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model

Do Multi-hop Readers Dream of Reasoning Chains?

Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering

Towards Open-Domain Named Entity Recognition via Neural Correction Models

Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification

Meta Reasoning over Knowledge Graphs

TWEETQA: A Social Media Focused Question Answering Dataset

Self-Supervised Learning for Contextualized Extractive Summarization

Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader

Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing

Sentence Embedding Alignment for Lifelong Relation Extraction

SafeRoute: Learning to Navigate Streets Safely in an Urban Environment

One-Shot Relational Learning for Knowledge Graphs

Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents

Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation

Variational Knowledge Graph Reasoning

DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning