
-
Ensemble Learning Based Classification Algorithm Recommendation
Recommending appropriate algorithms to a classification problem is one o...
read it
-
CPM: A Large-scale Generative Chinese Pre-trained Language Model
Pre-trained Language Models (PLMs) have proven to be beneficial for vari...
read it
-
Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph
Despite the success of generative pre-trained language models on a serie...
read it
-
A Large-Scale Chinese Short-Text Conversation Dataset
The advancements of neural dialogue generation models show promising res...
read it
-
Knowledge-Aided Open-Domain Question Answering
Open-domain question answering (QA) aims to find the answer to a questio...
read it
-
Learning Goal-oriented Dialogue Policy with Opposite Agent Awareness
Most existing approaches for goal-oriented dialogue policy learning used...
read it
-
KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation
The research of knowledge-driven conversational systems is largely limit...
read it
-
Recent Advances and Challenges in Task-oriented Dialog System
Due to the significance and value in human-computer interaction and natu...
read it
-
CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset
To advance multi-domain (cross-domain) dialogue modeling as well as alle...
read it
-
CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation
In text generation evaluation, many practical issues, such as inconsiste...
read it
-
A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation
Story generation, namely generating a reasonable story from a leading co...
read it
-
Robust Reading Comprehension with Linguistic Constraints via Posterior Regularization
In spite of great advancements of machine reading comprehension (RC), ex...
read it
-
SentiLR: Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis
Most of the existing pre-trained language representation models neglect ...
read it
-
Recognition Of Surface Defects On Steel Sheet Using Transfer Learning
Automatic defect recognition is one of the research hotspots in steel pr...
read it
-
ARAML: A Stable Adversarial Training Framework for Text Generation
Most of the existing generative adversarial networks (GAN) for text gene...
read it
-
Long and Diverse Text Generation with Planning-based Hierarchical Variational Model
Existing neural methods for data-to-text generation are still struggling...
read it
-
Challenges in Building Intelligent Open-domain Dialog Systems
There is a resurgent interest in developing intelligent open-domain dial...
read it
-
Domain-Constrained Advertising Keyword Generation
Advertising (ad for short) keyword suggestion is important for sponsored...
read it
-
Verification Code Recognition Based on Active and Deep Learning
A verification code is an automated test method used to distinguish betw...
read it
-
Relation Mention Extraction from Noisy Data with Hierarchical Reinforcement Learning
In this paper we address a task of relation mention extraction from nois...
read it
-
Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning
Ranking is a fundamental and widely studied problem in scenarios such as...
read it
-
Reinforcement Learning for Relation Classification from Noisy Data
Existing relation classification methods that rely on distant supervisio...
read it
-
Memory-augmented Dialogue Management for Task-oriented Dialogue Systems
Dialogue management (DM) decides the next action of a dialogue system ac...
read it
-
An Interpretable Reasoning Network for Multi-Relation Question Answering
Multi-relation Question Answering is a challenging task, due to the requ...
read it
-
Assigning personality/identity to a chatting machine for coherent conversation generation
Endowing a chatbot with personality or an identity is quite challenging ...
read it
-
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory
Perception and expression of emotion are key factors to the success of d...
read it
-
Linguistically Regularized LSTMs for Sentiment Classification
Sentiment understanding has been a long-term goal of AI in the past deca...
read it
-
SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions
Knowledge representation is an important, long-history topic in AI, and ...
read it
-
From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction
Knowledge graph embedding aims at offering a numerical knowledge represe...
read it
-
TransA: An Adaptive Approach for Knowledge Graph Embedding
Knowledge representation is a major topic in AI, and many studies attemp...
read it
-
TransG : A Generative Mixture Model for Knowledge Graph Embedding
Recently, knowledge graph embedding, which projects symbolic entities an...
read it