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05/04/2023
Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations
Human-annotated labels and explanations are critical for training explai...
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03/13/2023
A Framework for Combining Entity Resolution and Query Answering in Knowledge Bases
We propose a new framework for combining entity resolution and query ans...
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01/30/2023
MILO: Model-Agnostic Subset Selection Framework for Efficient Model Training and Tuning
Training deep networks and tuning hyperparameters on large datasets is c...
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12/05/2022
Entity Set Co-Expansion in StackOverflow
Given a few seed entities of a certain type (e.g., Software or Programmi...
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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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03/15/2022
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning
Deep neural networks have seen great success in recent years; however, t...
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09/23/2021
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming
A critical bottleneck in supervised machine learning is the need for lar...
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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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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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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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05/01/2020
Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context
Documents are often the format of choice for knowledge sharing and prese...
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03/29/2020
A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching
Entity Matching (EM) is a core data cleaning task, aiming to identify di...
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11/25/2019
CANTO – Covert AutheNtication with Timing channels over Optimized traffic flows for CAN
Previous research works have endorsed the use of delays and clock skews ...
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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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01/29/2019