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07/12/2023
SoK: Comparing Different Membership Inference Attacks with a Comprehensive Benchmark
Membership inference (MI) attacks threaten user privacy through determin...
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10/17/2022
Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization
Training language models to learn from human instructions for zero-shot ...
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06/06/2022
Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation
Despite the success of text-to-text pre-trained models in various natura...
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04/02/2022
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation
Existing reference-free metrics have obvious limitations for evaluating ...
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03/17/2022
EVA2.0: Investigating Open-Domain Chinese Dialogue Systems with Large-Scale Pre-Training
Large-scale pre-training has shown remarkable performance in building op...
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02/28/2022
Rethinking and Refining the Distinct Metric
Distinct is a widely used automatic metric for evaluating the diversity ...
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10/16/2021
On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark
Dialogue safety problems severely limit the real-world deployment of neu...
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08/03/2021
EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training
Although pre-trained language models have remarkably enhanced the genera...
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06/19/2021
JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs
Existing pre-trained models for knowledge-graph-to-text (KG-to-text) gen...
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06/04/2021
NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer
Autoregressive models have been widely used in unsupervised text style t...
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05/31/2021
A Semantic-based Method for Unsupervised Commonsense Question Answering
Unsupervised commonsense question answering is appealing since it does n...
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01/15/2021
Ensemble Learning Based Classification Algorithm Recommendation
Recommending appropriate algorithms to a classification problem is one o...
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12/01/2020
CPM: A Large-scale Generative Chinese Pre-trained Language Model
Pre-trained Language Models (PLMs) have proven to be beneficial for vari...
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09/24/2020
Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph
Despite the success of generative pre-trained language models on a serie...
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08/10/2020
A Large-Scale Chinese Short-Text Conversation Dataset
The advancements of neural dialogue generation models show promising res...
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06/09/2020
Knowledge-Aided Open-Domain Question Answering
Open-domain question answering (QA) aims to find the answer to a questio...
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04/21/2020
Learning Goal-oriented Dialogue Policy with Opposite Agent Awareness
Most existing approaches for goal-oriented dialogue policy learning used...
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04/08/2020
KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation
The research of knowledge-driven conversational systems is largely limit...
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03/17/2020
Recent Advances and Challenges in Task-oriented Dialog System
Due to the significance and value in human-computer interaction and natu...
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02/27/2020
CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset
To advance multi-domain (cross-domain) dialogue modeling as well as alle...
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02/03/2020
CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation
In text generation evaluation, many practical issues, such as inconsiste...
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01/15/2020
A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation
Story generation, namely generating a reasonable story from a leading co...
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11/16/2019
Robust Reading Comprehension with Linguistic Constraints via Posterior Regularization
In spite of great advancements of machine reading comprehension (RC), ex...
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11/06/2019
SentiLR: Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis
Most of the existing pre-trained language representation models neglect ...
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09/07/2019
Recognition Of Surface Defects On Steel Sheet Using Transfer Learning
Automatic defect recognition is one of the research hotspots in steel pr...
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08/20/2019
ARAML: A Stable Adversarial Training Framework for Text Generation
Most of the existing generative adversarial networks (GAN) for text gene...
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08/19/2019
Long and Diverse Text Generation with Planning-based Hierarchical Variational Model
Existing neural methods for data-to-text generation are still struggling...
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05/13/2019
Challenges in Building Intelligent Open-domain Dialog Systems
There is a resurgent interest in developing intelligent open-domain dial...
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02/27/2019
Domain-Constrained Advertising Keyword Generation
Advertising (ad for short) keyword suggestion is important for sponsored...
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02/12/2019
Verification Code Recognition Based on Active and Deep Learning
A verification code is an automated test method used to distinguish betw...
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11/03/2018
Relation Mention Extraction from Noisy Data with Hierarchical Reinforcement Learning
In this paper we address a task of relation mention extraction from nois...
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09/17/2018
Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning
Ranking is a fundamental and widely studied problem in scenarios such as...
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08/24/2018
Reinforcement Learning for Relation Classification from Noisy Data
Existing relation classification methods that rely on distant supervisio...
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05/01/2018
Memory-augmented Dialogue Management for Task-oriented Dialogue Systems
Dialogue management (DM) decides the next action of a dialogue system ac...
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01/15/2018
An Interpretable Reasoning Network for Multi-Relation Question Answering
Multi-relation Question Answering is a challenging task, due to the requ...
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06/09/2017
Assigning personality/identity to a chatting machine for coherent conversation generation
Endowing a chatbot with personality or an identity is quite challenging ...
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04/04/2017
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory
Perception and expression of emotion are key factors to the success of d...
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11/12/2016
Linguistically Regularized LSTMs for Sentiment Classification
Sentiment understanding has been a long-term goal of AI in the past deca...
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04/17/2016
SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions
Knowledge representation is an important, long-history topic in AI, and ...
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12/15/2015
From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction
Knowledge graph embedding aims at offering a numerical knowledge represe...
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09/18/2015
TransA: An Adaptive Approach for Knowledge Graph Embedding
Knowledge representation is a major topic in AI, and many studies attemp...
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09/18/2015