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Latent Relation Language Models

Latent Relation Language Models

AAAI Conference on Artificial Intelligence (AAAI), 2019
21 August 2019
Hiroaki Hayashi
Zecong Hu
Chenyan Xiong
Graham Neubig
    KELM
ArXiv (abs)PDFHTML

Papers citing "Latent Relation Language Models"

25 / 25 papers shown
Title
Is Knowledge All Large Language Models Needed for Causal Reasoning?
Is Knowledge All Large Language Models Needed for Causal Reasoning?
Hengrui Cai
Shengjie Liu
Rui Song
LRMELM
414
20
0
30 Dec 2023
RelBERT: Embedding Relations with Language Models
RelBERT: Embedding Relations with Language ModelsArtificial Intelligence (AIJ), 2023
Asahi Ushio
Jose Camacho-Collados
Steven Schockaert
KELM
298
3
0
30 Sep 2023
Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs
  for Fact-aware Language Modeling
Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language ModelingIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Lin F. Yang
Hongyang Chen
Zhao Li
Xiao Ding
Xindong Wu
KELM
316
136
0
20 Jun 2023
Modeling Spoken Information Queries for Virtual Assistants: Open
  Problems, Challenges and Opportunities
Modeling Spoken Information Queries for Virtual Assistants: Open Problems, Challenges and OpportunitiesAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Christophe Van Gysel
113
5
0
25 Apr 2023
Space-Efficient Representation of Entity-centric Query Language Models
Space-Efficient Representation of Entity-centric Query Language ModelsInterspeech (Interspeech), 2022
Christophe Van Gysel
Mirko Hannemann
Ernest Pusateri
Youssef Oualil
I. Oparin
153
9
0
29 Jun 2022
Open-domain Dialogue Generation Grounded with Dynamic Multi-form
  Knowledge Fusion
Open-domain Dialogue Generation Grounded with Dynamic Multi-form Knowledge FusionInternational Conference on Database Systems for Advanced Applications (DASFAA), 2022
Feifei Xu
Shanlin Zhou
Xinpeng Wang
Yunpu Ma
Wenkai Zhang
Zhisong Li
93
7
0
24 Apr 2022
Relational Memory Augmented Language Models
Relational Memory Augmented Language ModelsTransactions of the Association for Computational Linguistics (TACL), 2022
Qi Liu
Dani Yogatama
Phil Blunsom
KELMRALM
235
34
0
24 Jan 2022
Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey
Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey
Xiaokai Wei
Shen Wang
Dejiao Zhang
Parminder Bhatia
Andrew O. Arnold
KELM
221
54
0
16 Oct 2021
Capturing Structural Locality in Non-parametric Language Models
Capturing Structural Locality in Non-parametric Language Models
Frank F. Xu
Junxian He
Graham Neubig
Vincent J. Hellendoorn
266
14
0
06 Oct 2021
XLM-K: Improving Cross-Lingual Language Model Pre-training with
  Multilingual Knowledge
XLM-K: Improving Cross-Lingual Language Model Pre-training with Multilingual KnowledgeAAAI Conference on Artificial Intelligence (AAAI), 2021
X. Jiang
Yaobo Liang
Weizhu Chen
Nan Duan
194
28
0
26 Sep 2021
SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with
  Structured Semantics for Medical Text Mining
SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining
Taolin Zhang
Zerui Cai
Chengyu Wang
Minghui Qiu
Bite Yang
Xiaofeng He
AI4MH
164
57
0
20 Aug 2021
Language Model Evaluation in Open-ended Text Generation
Language Model Evaluation in Open-ended Text Generation
An Nguyen
215
3
0
08 Aug 2021
A Discriminative Entity-Aware Language Model for Virtual Assistants
A Discriminative Entity-Aware Language Model for Virtual AssistantsInterspeech (Interspeech), 2021
Mandana Saebi
Ernest Pusateri
Aaksha Meghawat
Christophe Van Gysel
91
9
0
21 Jun 2021
Knowledge Graph Completion with Text-aided Regularization
Knowledge Graph Completion with Text-aided Regularization
Tong Chen
Sirou Zhu
Yiming Wen
Z. Zheng
120
2
0
22 Jan 2021
KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation
KGPT: Knowledge-Grounded Pre-Training for Data-to-Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Wenhu Chen
Yu-Chuan Su
Xifeng Yan
Wenjie Wang
VLM
219
24
0
05 Oct 2020
Generating Commonsense Explanation by Extracting Bridge Concepts from
  Reasoning Paths
Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths
Haozhe Ji
Pei Ke
Shaohan Huang
Furu Wei
Shiyu Huang
ReLMLRM
140
25
0
24 Sep 2020
Message Passing for Hyper-Relational Knowledge Graphs
Message Passing for Hyper-Relational Knowledge GraphsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Mikhail Galkin
Priyansh Trivedi
Gaurav Maheshwari
Ricardo Usbeck
Jens Lehmann
279
138
0
22 Sep 2020
HittER: Hierarchical Transformers for Knowledge Graph Embeddings
HittER: Hierarchical Transformers for Knowledge Graph EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Sanxing Chen
Xiaodong Liu
Jianfeng Gao
Jian Jiao
Ruofei Zhang
Yangfeng Ji
187
127
0
28 Aug 2020
Knowledge-Aware Language Model Pretraining
Knowledge-Aware Language Model Pretraining
Corby Rosset
Chenyan Xiong
M. Phan
Xia Song
Paul N. Bennett
Saurabh Tiwary
KELM
213
88
0
29 Jun 2020
How Does NLP Benefit Legal System: A Summary of Legal Artificial
  Intelligence
How Does NLP Benefit Legal System: A Summary of Legal Artificial IntelligenceAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Haoxiang Zhong
Chaojun Xiao
Cunchao Tu
Tianyang Zhang
Zhiyuan Liu
Maosong Sun
AILaw
280
351
0
25 Apr 2020
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A SurveyScience China Technological Sciences (Sci China Technol Sci), 2020
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MAVLM
941
1,606
0
18 Mar 2020
How Can We Know What Language Models Know?
How Can We Know What Language Models Know?Transactions of the Association for Computational Linguistics (TACL), 2019
Zhengbao Jiang
Frank F. Xu
Jun Araki
Graham Neubig
KELM
637
1,546
0
28 Nov 2019
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language
  Representation
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language RepresentationTransactions of the Association for Computational Linguistics (TACL), 2019
Xiaozhi Wang
Tianyu Gao
Zhaocheng Zhu
Zhengyan Zhang
Zhiyuan Liu
Juan-Zi Li
Jian Tang
315
762
0
13 Nov 2019
Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood
  Training
Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood TrainingAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Margaret Li
Stephen Roller
Ilia Kulikov
Sean Welleck
Y-Lan Boureau
Dong Wang
Jason Weston
246
198
0
10 Nov 2019
Grounded Conversation Generation as Guided Traverses in Commonsense
  Knowledge Graphs
Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge GraphsAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Houyu Zhang
Zhenghao Liu
Chenyan Xiong
Zhiyuan Liu
270
149
0
07 Nov 2019
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