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09/12/2023
Towards Visual Taxonomy Expansion
Taxonomy expansion task is essential in organizing the ever-increasing v...
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08/26/2023
Translate Meanings, Not Just Words: IdiomKB's Role in Optimizing Idiomatic Translation with Language Models
To translate well, machine translation (MT) systems and general-purposed...
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08/17/2023
KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Bases
Large language models (LLMs) have demonstrated impressive impact in the ...
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08/09/2023
AspectMMKG: A Multi-modal Knowledge Graph with Aspect-aware Entities
Multi-modal knowledge graphs (MMKGs) combine different modal data (e.g.,...
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06/19/2023
Adaptive Ordered Information Extraction with Deep Reinforcement Learning
Information extraction (IE) has been studied extensively. The existing m...
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06/16/2023
M3PT: A Multi-Modal Model for POI Tagging
POI tagging aims to annotate a point of interest (POI) with some informa...
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06/13/2023
HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation
Similes play an imperative role in creative writing such as story and di...
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06/11/2023
QUERT: Continual Pre-training of Language Model for Query Understanding in Travel Domain Search
In light of the success of the pre-trained language models (PLMs), conti...
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05/22/2023
Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction
Analogical reasoning is essential for human cognition, allowing us to co...
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05/10/2023
ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base
Analogical reasoning is a fundamental cognitive ability of humans. Howev...
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05/09/2023
Distilling Script Knowledge from Large Language Models for Constrained Language Planning
In everyday life, humans often plan their actions by following step-by-s...
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05/03/2023
Causality-aware Concept Extraction based on Knowledge-guided Prompting
Concepts benefit natural language understanding but are far from complet...
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03/25/2023
GANTEE: Generative Adversatial Network for Taxonomy Entering Evaluation
Taxonomy is formulated as directed acyclic concepts graphs or trees that...
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03/25/2023
Sem4SAP: Synonymous Expression Mining From Open Knowledge Graph For Language Model Synonym-Aware Pretraining
The model's ability to understand synonymous expression is crucial in ma...
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02/18/2023
BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark
To advance Chinese financial natural language processing (NLP), we intro...
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12/10/2022
MAPS-KB: A Million-scale Probabilistic Simile Knowledge Base
The ability to understand and generate similes is an imperative step to ...
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12/07/2022
Harnessing Knowledge and Reasoning for Human-Like Natural Language Generation: A Brief Review
The rapid development and application of natural language generation (NL...
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11/25/2022
Group Buying Recommendation Model Based on Multi-task Learning
In recent years, group buying has become one popular kind of online shop...
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11/22/2022
Converge to the Truth: Factual Error Correction via Iterative Constrained Editing
Given a possibly false claim sentence, how can we automatically correct ...
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10/10/2022
Improving Continual Relation Extraction through Prototypical Contrastive Learning
Continual relation extraction (CRE) aims to extract relations towards th...
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10/06/2022
Generative Entity Typing with Curriculum Learning
Entity typing aims to assign types to the entity mentions in given texts...
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09/28/2022
Human-in-the-loop Robotic Grasping using BERT Scene Representation
Current NLP techniques have been greatly applied in different domains. I...
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08/30/2022
Large-scale Multi-granular Concept Extraction Based on Machine Reading Comprehension
The concepts in knowledge graphs (KGs) enable machines to understand nat...
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07/27/2022
Factorial User Modeling with Hierarchical Graph Neural Network for Enhanced Sequential Recommendation
Most sequential recommendation (SR) systems employing graph neural netwo...
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07/27/2022
Contextual Information and Commonsense Based Prompt for Emotion Recognition in Conversation
Emotion recognition in conversation (ERC) aims to detect the emotion for...
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06/25/2022
Language Models as Knowledge Embeddings
Knowledge embeddings (KE) represent a knowledge graph (KG) by embedding ...
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05/17/2022
Tackling Math Word Problems with Fine-to-Coarse Abstracting and Reasoning
Math Word Problems (MWP) is an important task that requires the ability ...
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04/28/2022
Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints
However, current autoregressive approaches suffer from high latency. In ...
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03/28/2022
Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision
Taxonomies have been widely used in various domains to underpin numerous...
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03/16/2022
E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning
The ability to recognize analogies is fundamental to human cognition. Ex...
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03/16/2022
Can Pre-trained Language Models Interpret Similes as Smart as Human?
Simile interpretation is a crucial task in natural language processing. ...
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02/21/2022
Rule Mining over Knowledge Graphs via Reinforcement Learning
Knowledge graphs (KGs) are an important source repository for a wide ran...
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02/11/2022
Multi-Modal Knowledge Graph Construction and Application: A Survey
Recent years have witnessed the resurgence of knowledge engineering whic...
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01/13/2022
Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation
Interpreting the predictions of existing Question Answering (QA) models ...
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01/07/2022
Semantic-based Data Augmentation for Math Word Problems
It's hard for neural MWP solvers to deal with tiny local variances. In M...
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12/10/2021
Unsupervised Editing for Counterfactual Stories
Creating what-if stories requires reasoning about prior statements and p...
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11/27/2021
A Review on Graph Neural Network Methods in Financial Applications
Keeping the individual features and the complicated relations, graph dat...
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11/06/2021
A Probit Tensor Factorization Model For Relational Learning
With the proliferation of knowledge graphs, modeling data with complex m...
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08/02/2021
Relation Aware Semi-autoregressive Semantic Parsing for NL2SQL
Natural language to SQL (NL2SQL) aims to parse a natural language with a...
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05/21/2021
Revisiting the Negative Data of Distantly Supervised Relation Extraction
Distantly supervision automatically generates plenty of training samples...
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04/07/2021
A Question-answering Based Framework for Relation Extraction Validation
Relation extraction is an important task in knowledge acquisition and te...
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12/25/2020
LOREN: Logic Enhanced Neural Reasoning for Fact Verification
Given a natural language statement, how to verify whether it is supporte...
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12/17/2020
InSRL: A Multi-view Learning Framework Fusing Multiple Information Sources for Distantly-supervised Relation Extraction
Distant supervision makes it possible to automatically label bags of sen...
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12/09/2020
Complex Relation Extraction: Challenges and Opportunities
Relation extraction aims to identify the target relations of entities in...
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10/19/2020
Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning
Open attribute value extraction for emerging entities is an important bu...
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06/19/2020
Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty
Most of existing embedding based recommendation models use embeddings (v...
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06/18/2020
A Knowledge-Enhanced Recommendation Model with Attribute-Level Co-Attention
Deep neural networks (DNNs) have been widely employed in recommender sys...
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06/12/2020
Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation
Session-based recommendation (SR) has become an important and popular co...
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05/17/2020
Attacking Recommender Systems with Augmented User Profiles
Recommendation Systems (RS) have become an essential part of many online...
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05/06/2020
