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CASS: Towards Building a Social-Support Chatbot for Online Health Community
Chatbots systems, despite their popularity in today's HCI and CSCW resea...
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Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning
Knowledge base question answering (KBQA) is an important task in Natural...
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Interpretable Visual Reasoning via Induced Symbolic Space
We study the problem of concept induction in visual reasoning, i.e., ide...
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Multilingual BERT Post-Pretraining Alignment
We propose a simple method to align multilingual contextual embeddings a...
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Deriving Commonsense Inference Tasks from Interactive Fictions
Commonsense reasoning simulates the human ability to make presumptions a...
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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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MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning
Multi-hop reasoning approaches over knowledge graphs infer a missing rel...
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Leveraging Semantic Parsing for Relation Linking over Knowledge Bases
Knowledgebase question answering systems are heavily dependent on relati...
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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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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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Invariant Rationalization
Selective rationalization improves neural network interpretability by id...
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Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation
We consider the problem of unsupervised domain adaptation for semantic s...
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Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning
This paper considers the problem of resource allocation in stream proces...
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Leveraging Dependency Forest for Neural Medical Relation Extraction
Medical relation extraction discovers relations between entity mentions ...
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Do Multi-hop Readers Dream of Reasoning Chains?
General Question Answering (QA) systems over texts require the multi-hop...
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Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control
Selective rationalization has become a common mechanism to ensure that p...
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A Game Theoretic Approach to Class-wise Selective Rationalization
Selection of input features such as relevant pieces of text has become a...
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An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack
There are two major paradigms of white-box adversarial attacks that atte...
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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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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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Towards Open-Domain Named Entity Recognition via Neural Correction Models
Named Entity Recognition (NER) plays an important role in a wide range o...
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Meta Reasoning over Knowledge Graphs
The ability to reason over learned knowledge is an innate ability for hu...
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Multi-Granular Text Encoding for Self-Explaining Categorization
Self-explaining text categorization requires a classifier to make a pred...
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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...
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Self-Supervised Learning for Contextualized Extractive Summarization
Existing models for extractive summarization are usually trained from sc...
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Slack Channels Ecology in Enterprises: How Employees Collaborate Through Group Chat
Despite the long history of studying instant messaging usage in organiza...
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Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network
Previous cross-lingual knowledge graph (KG) alignment studies rely on en...
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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...
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Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets
Natural Language Sentence Matching (NLSM) has gained substantial attenti...
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DAG-GNN: DAG Structure Learning with Graph Neural Networks
Learning a faithful directed acyclic graph (DAG) from samples of a joint...
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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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Hybrid Reinforcement Learning with Expert State Sequences
Existing imitation learning approaches often require that the complete d...
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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...
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Sentence Embedding Alignment for Lifelong Relation Extraction
Conventional approaches to relation extraction usually require a fixed s...
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Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers
Most approaches to extraction multiple relations from a paragraph requir...
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Few-shot Learning with Meta Metric Learners
Few-shot Learning aims to learn classifiers for new classes with only a ...
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Improving Natural Language Inference Using External Knowledge in the Science Questions Domain
Natural Language Inference (NLI) is fundamental to many Natural Language...
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SQL-to-Text Generation with Graph-to-Sequence Model
Previous work approaches the SQL-to-text generation task using vanilla S...
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Improving Reinforcement Learning Based Image Captioning with Natural Language Prior
Recently, Reinforcement Learning (RL) approaches have demonstrated advan...
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Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks
Multi-hop reading comprehension focuses on one type of factoid question,...
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Deriving Machine Attention from Human Rationales
Attention-based models are successful when trained on large amounts of d...
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One-Shot Relational Learning for Knowledge Graphs
Knowledge graphs (KGs) are the key components of various natural languag...
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Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model
Existing neural semantic parsers mainly utilize a sequence encoder, i.e....
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Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification
We tackle the problem of person re-identification in video setting in th...
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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...
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A Co-Matching Model for Multi-choice Reading Comprehension
Multi-choice reading comprehension is a challenging task, which involves...
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Diverse Few-Shot Text Classification with Multiple Metrics
We study few-shot learning in natural language domains. Compared to many...
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Image Super-Resolution via Dual-State Recurrent Networks
Advances in image super-resolution (SR) have recently benefited signific...
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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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Knowledge Base Relation Detection via Multi-View Matching
Relation detection is a core component for Knowledge Base Question Answe...
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