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Found 12 papers, 4 papers with code
Effective Proxy for Human Labeling: Ensemble Disagreement Scores in Large Language Models for Industrial NLP
For industry applications, it is imperative to assess the performance of the LLM on unlabeled production data from time to time to validate for a real-world setting.
Extracting Shopping Interest-Related Product Types from the Web
To establish such connections, we propose to extract PTs from the Web pages containing hand-crafted PT recommendations for SIs.
Label-Efficient Self-Training for Attribute Extraction from Semi-Structured Web Documents
Prior works rely on a few human-labeled web pages from each target website or thousands of human-labeled web pages from some seed websites to train a transferable extraction model that generalizes on unseen target websites.
DOM-LM: Learning Generalizable Representations for HTML Documents
We argue that the text and HTML structure together convey important semantics of the content and therefore warrant a special treatment for their representation learning.
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Attribute Extraction
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TCN: Table Convolutional Network for Web Table Interpretation
Existing work linearize table cells and heavily rely on modifying deep language models such as BERT which only captures related cells information in the same table.
Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web
In this tutorial we take a holistic view toward information extraction, exploring the commonalities in the challenges and solutions developed to address these different forms of text.
ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages
In this work, we propose a solution for "zero-shot" open-domain relation extraction from webpages with a previously unseen template, including from websites with little overlap with existing sources of knowledge for distant supervision and websites in entirely new subject verticals.
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition
In this paper, we introduce "entity triggers," an effective proxy of human explanations for facilitating label-efficient learning of NER models.
OpenCeres: When Open Information Extraction Meets the Semi-Structured Web
In this paper, we define the problem of OpenIE from semi-structured websites to extract such facts, and present an approach for solving it.
CERES: Distantly Supervised Relation Extraction from the Semi-Structured Web
In this paper we present a new method for automatic extraction from semi-structured websites based on distant supervision.
Finding Streams in Knowledge Graphs to Support Fact Checking
The volume and velocity of information that gets generated online limits current journalistic practices to fact-check claims at the same rate.
The DARPA Twitter Bot Challenge
A number of organizations ranging from terrorist groups such as ISIS to politicians and nation states reportedly conduct explicit campaigns to influence opinion on social media, posing a risk to democratic processes.
