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07/30/2023
A Private Watermark for Large Language Models
Recently, text watermarking algorithms for large language models (LLMs) ...
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05/25/2023
Give Me More Details: Improving Fact-Checking with Latent Retrieval
Evidence plays a crucial role in automated fact-checking. When verifying...
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05/22/2023
Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer
Cross-lingual natural language inference is a fundamental problem in cro...
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05/12/2023
Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition
Named Entity Recognition (NER) is a well and widely studied task in natu...
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05/02/2023
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence
Real-world fact verification task aims to verify the factuality of a cla...
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11/11/2022
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction
Information Extraction (IE) aims to extract structured information from ...
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10/31/2022
Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution
We propose the first character-level white-box adversarial attack method...
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10/19/2022
EnTDA: Entity-to-Text based Data Augmentation Approach for Named Entity Recognition Tasks
Data augmentation techniques have been used to improve the generalizatio...
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09/15/2022
Scene Graph Modification as Incremental Structure Expanding
A scene graph is a semantic representation that expresses the objects, a...
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08/08/2022
Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph
The generalizability to new databases is of vital importance to Text-to-...
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05/31/2022
A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference
Natural Language Inference (NLI) is a growingly essential task in natura...
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05/04/2022
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction
Unsupervised relation extraction aims to extract the relationship betwee...
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03/29/2022
Towards the Future: Bring Program Correctness back to the focus
Program correctness used to be the main concern of computer software in ...
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01/26/2022
Pair-Level Supervised Contrastive Learning for Natural Language Inference
Natural language inference (NLI) is an increasingly important task for n...
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01/18/2022
Inferring Commonsense Explanations as Prompts for Future Event Generation
Future Event Generation aims to generate fluent and reasonable future ev...
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09/14/2021
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction
Low-resource Relation Extraction (LRE) aims to extract relation facts fr...
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07/14/2021
Learning Algebraic Recombination for Compositional Generalization
Neural sequence models exhibit limited compositional generalization abil...
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12/23/2020
GAHNE: Graph-Aggregated Heterogeneous Network Embedding
The real-world networks often compose of different types of nodes and ed...
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10/14/2020
A Graph Representation of Semi-structured Data for Web Question Answering
The abundant semi-structured data on the Web, such as HTML-based tables ...
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04/06/2020
SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction
Open relation extraction is the task of extracting open-domain relation ...
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05/16/2019
TraceWalk: Semantic-based Process Graph Embedding for Consistency Checking
Process consistency checking (PCC), an interdiscipline of natural langua...
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04/22/2019
BePT: A Process Translator for Sharing Process Models
Sharing process models on the web has emerged as a widely used concept. ...
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11/28/2015
