
-
Unsupervised Multi-hop Question Answering by Question Generation
Obtaining training data for Multi-hop Question Answering (QA) is extreme...
read it
-
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
We propose a simple and efficient multi-hop dense retrieval approach for...
read it
-
Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering
To extract answers from a large corpus, open-domain question answering (...
read it
-
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data
Existing question answering datasets focus on dealing with homogeneous i...
read it
-
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 ...
read it
-
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model
Recent breakthroughs of pretrained language models have shown the effect...
read it
-
Do Multi-hop Readers Dream of Reasoning Chains?
General Question Answering (QA) systems over texts require the multi-hop...
read it
-
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 ...
read it
-
Towards Open-Domain Named Entity Recognition via Neural Correction Models
Named Entity Recognition (NER) plays an important role in a wide range o...
read it
-
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...
read it
-
Meta Reasoning over Knowledge Graphs
The ability to reason over learned knowledge is an innate ability for hu...
read it
-
TWEETQA: A Social Media Focused Question Answering Dataset
With social media becoming increasingly pop-ular on which lots of news a...
read it
-
Self-Supervised Learning for Contextualized Extractive Summarization
Existing models for extractive summarization are usually trained from sc...
read it
-
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader
We propose a new end-to-end question answering model, which learns to ag...
read it
-
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing
Existing entity typing systems usually exploit the type hierarchy provid...
read it
-
Sentence Embedding Alignment for Lifelong Relation Extraction
Conventional approaches to relation extraction usually require a fixed s...
read it
-
SafeRoute: Learning to Navigate Streets Safely in an Urban Environment
Recent studies show that 85 avoid harassment and assault. Despite this, ...
read it
-
One-Shot Relational Learning for Knowledge Graphs
Knowledge graphs (KGs) are the key components of various natural languag...
read it
-
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents
We investigate the task of learning to follow natural language instructi...
read it
-
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...
read it
-
Variational Knowledge Graph Reasoning
Inferring missing links in knowledge graphs (KG) has attracted a lot of ...
read it
-
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
We study the problem of learning to reason in large scale knowledge grap...
read it