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08/23/2023
FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering
Knowledge base question answering (KBQA) is a critical yet challenging t...
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08/02/2023
Knowledge-aware Collaborative Filtering with Pre-trained Language Model for Personalized Review-based Rating Prediction
Personalized review-based rating prediction aims at leveraging existing ...
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07/17/2023
Retentive Network: A Successor to Transformer for Large Language Models
In this work, we propose Retentive Network (RetNet) as a foundation arch...
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06/02/2023
Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today
Recent investigations show that large language models (LLMs), specifical...
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04/06/2023
Bridging the Language Gap: Knowledge Injected Multilingual Question Answering
Question Answering (QA) is the task of automatically answering questions...
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12/20/2022
Toward a Unified Framework for Unsupervised Complex Tabular Reasoning
Structured tabular data exist across nearly all fields. Reasoning task o...
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12/02/2022
Joint Open Knowledge Base Canonicalization and Linking
Open Information Extraction (OIE) methods extract a large number of OIE ...
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11/10/2022
Not Just Plain Text! Fuel Document-Level Relation Extraction with Explicit Syntax Refinement and Subsentence Modeling
Document-level relation extraction (DocRE) aims to identify semantic lab...
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08/08/2022
Learning Entity Linking Features for Emerging Entities
Entity linking (EL) is the process of linking entity mentions appearing ...
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07/12/2022
Effective Few-Shot Named Entity Linking by Meta-Learning
Entity linking aims to link ambiguous mentions to their corresponding en...
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05/23/2022
Prompt Tuning for Discriminative Pre-trained Language Models
Recent works have shown promising results of prompt tuning in stimulatin...
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12/31/2021
Data-Free Knowledge Transfer: A Survey
In the last decade, many deep learning models have been well trained and...
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09/30/2021
Scalable Rule-Based Representation Learning for Interpretable Classification
Rule-based models, e.g., decision trees, are widely used in scenarios de...
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09/26/2021
Entity Linking Meets Deep Learning: Techniques and Solutions
Entity linking (EL) is the process of linking entity mentions appearing ...
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03/20/2021
Social Link Inference via Multi-View Matching Network from Spatio-Temporal Trajectories
In this paper, we investigate the problem of social link inference in a ...
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03/05/2021
Graph-Based Tri-Attention Network for Answer Ranking in CQA
In community-based question answering (CQA) platforms, automatic answer ...
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12/10/2019
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization
Models with transparent inner structure and high classification performa...
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12/08/2019
Attentive Representation Learning with Adversarial Training for Short Text Clustering
Short text clustering has far-reaching effects on semantic analysis, sho...
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08/23/2018
Style Transfer as Unsupervised Machine Translation
Language style transferring rephrases text with specific stylistic attri...
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05/24/2018
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering
Recently, Visual Question Answering (VQA) has emerged as one of the most...
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11/18/2017
