Alert button

"Text": models, code, and papers
Alert button

LDKP: A Dataset for Identifying Keyphrases from Long Scientific Documents

Apr 01, 2022
Debanjan Mahata, Navneet Agarwal, Dibya Gautam, Amardeep Kumar, Swapnil Parekh, Yaman Kumar Singla, Anish Acharya, Rajiv Ratn Shah

Figure 1 for LDKP: A Dataset for Identifying Keyphrases from Long Scientific Documents
Figure 2 for LDKP: A Dataset for Identifying Keyphrases from Long Scientific Documents
Figure 3 for LDKP: A Dataset for Identifying Keyphrases from Long Scientific Documents
Figure 4 for LDKP: A Dataset for Identifying Keyphrases from Long Scientific Documents
Viaarxiv icon

Self-supervised Text-to-SQL Learning with Header Alignment Training

Mar 11, 2021
Donggyu Kim, Seanie Lee

Figure 1 for Self-supervised Text-to-SQL Learning with Header Alignment Training
Figure 2 for Self-supervised Text-to-SQL Learning with Header Alignment Training
Figure 3 for Self-supervised Text-to-SQL Learning with Header Alignment Training
Figure 4 for Self-supervised Text-to-SQL Learning with Header Alignment Training
Viaarxiv icon

Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm

Jul 29, 2020
Sourya Basu, Govardana Sachitanandam Ramachandran, Nitish Shirish Keskar, Lav R. Varshney

Figure 1 for Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm
Figure 2 for Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm
Figure 3 for Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm
Figure 4 for Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm
Viaarxiv icon

geoGAT: Graph Model Based on Attention Mechanism for Geographic Text Classification

Jan 13, 2021
Weipeng Jing, Xianyang Song, Donglin Di, Houbing Song

Figure 1 for geoGAT: Graph Model Based on Attention Mechanism for Geographic Text Classification
Figure 2 for geoGAT: Graph Model Based on Attention Mechanism for Geographic Text Classification
Figure 3 for geoGAT: Graph Model Based on Attention Mechanism for Geographic Text Classification
Figure 4 for geoGAT: Graph Model Based on Attention Mechanism for Geographic Text Classification
Viaarxiv icon

Automatic Detection of Entity-Manipulated Text using Factual Knowledge

Mar 19, 2022
Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan

Figure 1 for Automatic Detection of Entity-Manipulated Text using Factual Knowledge
Figure 2 for Automatic Detection of Entity-Manipulated Text using Factual Knowledge
Figure 3 for Automatic Detection of Entity-Manipulated Text using Factual Knowledge
Figure 4 for Automatic Detection of Entity-Manipulated Text using Factual Knowledge
Viaarxiv icon

Unconstrained Text Detection in Manga: a New Dataset and Baseline

Sep 09, 2020
Julián Del Gobbo, Rosana Matuk Herrera

Figure 1 for Unconstrained Text Detection in Manga: a New Dataset and Baseline
Figure 2 for Unconstrained Text Detection in Manga: a New Dataset and Baseline
Figure 3 for Unconstrained Text Detection in Manga: a New Dataset and Baseline
Figure 4 for Unconstrained Text Detection in Manga: a New Dataset and Baseline
Viaarxiv icon

Network Binarization via Contrastive Learning

Jul 06, 2022
Yuzhang Shang, Dan Xu, Ziliang Zong, Yan Yan

Figure 1 for Network Binarization via Contrastive Learning
Figure 2 for Network Binarization via Contrastive Learning
Figure 3 for Network Binarization via Contrastive Learning
Figure 4 for Network Binarization via Contrastive Learning
Viaarxiv icon

CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection

Apr 14, 2022
Zhen Li, Bing Xu, Conghui Zhu, Tiejun Zhao

Figure 1 for CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection
Figure 2 for CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection
Figure 3 for CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection
Figure 4 for CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection
Viaarxiv icon

Leveraging Pre-Trained Language Models to Streamline Natural Language Interaction for Self-Tracking

Jun 07, 2022
Young-Ho Kim, Sungdong Kim, Minsuk Chang, Sang-Woo Lee

Figure 1 for Leveraging Pre-Trained Language Models to Streamline Natural Language Interaction for Self-Tracking
Figure 2 for Leveraging Pre-Trained Language Models to Streamline Natural Language Interaction for Self-Tracking
Figure 3 for Leveraging Pre-Trained Language Models to Streamline Natural Language Interaction for Self-Tracking
Viaarxiv icon

Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods

Mar 10, 2022
Wei Li, Wenhao Wu, Moye Chen, Jiachen Liu, Xinyan Xiao, Hua Wu

Figure 1 for Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods
Figure 2 for Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods
Figure 3 for Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods
Figure 4 for Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods
Viaarxiv icon