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09/20/2023
Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation
Datasets that pair Knowledge Graphs (KG) and text together (KG-T) can be...
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05/16/2023
Growing and Serving Large Open-domain Knowledge Graphs
Applications of large open-domain knowledge graphs (KGs) to real-world p...
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01/25/2023
Powering an AI Chatbot with Expert Sourcing to Support Credible Health Information Access
During a public health crisis like the COVID-19 pandemic, a credible and...
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11/15/2022
When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications
Open Information Extraction (OpenIE) has been used in the pipelines of v...
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10/12/2022
PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation
Semantic role labeling (SRL) identifies the predicate-argument structure...
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08/02/2022
Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours
Text classification can be useful in many real-world scenarios, saving a...
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03/19/2022
Domain Representative Keywords Selection: A Probabilistic Approach
We propose a probabilistic approach to select a subset of a target domai...
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06/17/2021
LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking
Entity linking (EL), the task of disambiguating mentions in text by link...
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02/16/2021
TableLab: An Interactive Table Extraction System with Adaptive Deep Learning
Table extraction from PDF and image documents is a ubiquitous task in th...
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12/03/2020
Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning
Knowledge base question answering (KBQA) is an important task in Natural...
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11/29/2020
Improved Semantic Role Labeling using Parameterized Neighborhood Memory Adaptation
Deep neural models achieve some of the best results for semantic role la...
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11/09/2020
CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling
Semantic role labeling (SRL) identifies predicate-argument structure(s) ...
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10/30/2020
Learning Structured Representations of Entity Names using Active Learning and Weak Supervision
Structured representations of entity names are useful for many entity-re...
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09/17/2020
Small but Mighty: New Benchmarks for Split and Rephrase
Split and Rephrase is a text simplification task of rewriting a complex ...
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04/22/2020
CORD-19: The COVID-19 Open Research Dataset
The COVID-19 Open Research Dataset (CORD-19) is a growing resource of sc...
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07/25/2019
HEIDL: Learning Linguistic Expressions with Deep Learning and Human-in-the-Loop
While the role of humans is increasingly recognized in machine learning ...
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06/17/2019
Low-resource Deep Entity Resolution with Transfer and Active Learning
Entity resolution (ER) is the task of identifying different representati...
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01/31/2019
