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06/07/2021
Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study
Recent advancements in open-domain question answering (ODQA), i.e., find...
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12/23/2020
Augmenting Policy Learning with Routines Discovered from a Single Demonstration
Humans can abstract prior knowledge from very little data and use it to ...
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10/19/2020
Deriving Commonsense Inference Tasks from Interactive Fictions
Commonsense reasoning simulates the human ability to make presumptions a...
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10/05/2020
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning
Interactive Fiction (IF) games with real human-written natural language ...
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07/20/2020
Frustratingly Hard Evidence Retrieval for QA Over Books
A lot of progress has been made to improve question answering (QA) in re...
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04/06/2020
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 ...
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11/10/2019
Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries
This paper explores the task of interactive image retrieval using natura...
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10/31/2019
Do Multi-hop Readers Dream of Reasoning Chains?
General Question Answering (QA) systems over texts require the multi-hop...
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09/17/2019
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering
Multi-hop question answering (QA) requires an information retrieval (IR)...
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09/17/2019
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 ...
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08/13/2019
Meta Reasoning over Knowledge Graphs
The ability to reason over learned knowledge is an innate ability for hu...
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08/07/2019
Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs
Crowd counting is a challenging task due to the large variations in crow...
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07/14/2019
TWEETQA: A Social Media Focused Question Answering Dataset
With social media becoming increasingly pop-ular on which lots of news a...
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06/11/2019
Self-Supervised Learning for Contextualized Extractive Summarization
Existing models for extractive summarization are usually trained from sc...
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05/30/2019
The Fashion IQ Dataset: Retrieving Images by Combining Side Information and Relative Natural Language Feedback
We contribute a new dataset and a novel method for natural language base...
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05/17/2019
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader
We propose a new end-to-end question answering model, which learns to ag...
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04/04/2019
A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning
Few-shot learning aims to learn classifiers for new classes with only a ...
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03/11/2019
Hybrid Reinforcement Learning with Expert State Sequences
Existing imitation learning approaches often require that the complete d...
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03/06/2019
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing
Existing entity typing systems usually exploit the type hierarchy provid...
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03/06/2019
Sentence Embedding Alignment for Lifelong Relation Extraction
Conventional approaches to relation extraction usually require a fixed s...
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02/04/2019
Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers
Most approaches to extraction multiple relations from a paragraph requir...
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01/26/2019
Few-shot Learning with Meta Metric Learners
Few-shot Learning aims to learn classifiers for new classes with only a ...
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08/27/2018
One-Shot Relational Learning for Knowledge Graphs
Knowledge graphs (KGs) are the key components of various natural languag...
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06/16/2018
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents
We investigate the task of learning to follow natural language instructi...
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05/19/2018
Diverse Few-Shot Text Classification with Multiple Metrics
We study few-shot learning in natural language domains. Compared to many...
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05/01/2018
Dialog-based Interactive Image Retrieval
Existing methods for interactive image retrieval have demonstrated the m...
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04/22/2018
Named Entities troubling your Neural Methods? Build NE-Table: A neural approach for handling Named Entities
Many natural language processing tasks require dealing with Named Entiti...
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11/14/2017
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering
A popular recent approach to answering open-domain questions is to first...
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10/30/2017
Eigenoption Discovery through the Deep Successor Representation
Options in reinforcement learning allow agents to hierarchically decompo...
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10/05/2017
Dilated Recurrent Neural Networks
Learning with recurrent neural networks (RNNs) on long sequences is a no...
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08/31/2017
R^3: Reinforced Reader-Ranker for Open-Domain Question Answering
In recent years researchers have achieved considerable success applying ...
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08/26/2017
Robust Task Clustering for Deep Many-Task Learning
We investigate task clustering for deep-learning based multi-task and fe...
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01/16/2017
Deep Memory Networks for Attitude Identification
We consider the task of identifying attitudes towards a given set of ent...
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07/31/2015