<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Knowledge Commons | John Kausch | Activity</title>
	<link>https://hcommons.org/members/jkausch/activity/</link>
	<atom:link href="https://hcommons.org/members/jkausch/activity/feed/" rel="self" type="application/rss+xml" />
	<description>Activity feed for John Kausch.</description>
	<lastBuildDate>Sat, 04 Apr 2026 09:40:55 -0400</lastBuildDate>
	<generator>https://buddypress.org/?v=10.6.0</generator>
	<language>en-US</language>
	<ttl>30</ttl>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>2</sy:updateFrequency>
	
						<item>
				<guid isPermaLink="false">2d50f9ccaddcf33a404c5d06ed5c4ab4</guid>
				<title>John Kausch deposited Denotation Ambiguity Scoring for Panlingual Lexical Translation Inference in the group Linguistics</title>
				<link>https://hcommons.org/activity/p/1850187/</link>
				<pubDate>Sat, 24 Jun 2023 02:24:56 -0400</pubDate>

									<content:encoded><![CDATA[<p>PanLex is a massive database of interlinked lemmas in over two thousand language varieties. Among the uses for a resource such as this is the performance of translation inference on novel translations to construct large ontologies and potentially derive statistically attested semantic universals. This is an area of research that has long relied on&hellip;<span class="activity-read-more" id="activity-read-more-1850187"><a href="https://hcommons.org/activity/p/1850187/" rel="nofollow ugc">[Read more]</a></span></p>
]]></content:encoded>
				
									<slash:comments>0</slash:comments>
				
							</item>
					<item>
				<guid isPermaLink="false">2f88b29b9efc01d2494e74dd62f42489</guid>
				<title>John Kausch deposited Denotation Ambiguity Scoring for Panlingual Lexical Translation Inference</title>
				<link>https://hcommons.org/activity/p/1850160/</link>
				<pubDate>Fri, 23 Jun 2023 18:21:47 -0400</pubDate>

									<content:encoded><![CDATA[<p>PanLex is a massive database of interlinked lemmas in over two thousand language varieties. Among the uses for a resource such as this is the performance of translation inference on novel translations to construct large ontologies and potentially derive statistically attested semantic universals. This is an area of research that has long relied on&hellip;<span class="activity-read-more" id="activity-read-more-1850160"><a href="https://hcommons.org/activity/p/1850160/" rel="nofollow ugc">[Read more]</a></span></p>
]]></content:encoded>
				
									<slash:comments>0</slash:comments>
				
							</item>
					<item>
				<guid isPermaLink="false">f6c3587b32c9f83bbceec8a7fa6c1b02</guid>
				<title>John Kausch deposited Testing Ontology Embedding Visualization in the group CityLIS</title>
				<link>https://hcommons.org/activity/p/1827261/</link>
				<pubDate>Wed, 21 Dec 2022 02:25:54 -0500</pubDate>

									<content:encoded><![CDATA[<p>This dissertation presents an experiment conducted with human participants on human-information interaction with visualizations of ontologies. The research question is whether embedding visualizations or graph based visualizations lead to better task performance for human-information interaction. A literature review of word embeddings, information&hellip;<span class="activity-read-more" id="activity-read-more-1827261"><a href="https://hcommons.org/activity/p/1827261/" rel="nofollow ugc">[Read more]</a></span></p>
]]></content:encoded>
				
									<slash:comments>0</slash:comments>
				
							</item>
					<item>
				<guid isPermaLink="false">8e6f3e5a34b5b3035b45cf833e2f073f</guid>
				<title>John Kausch deposited Testing Ontology Embedding Visualization</title>
				<link>https://hcommons.org/activity/p/1827212/</link>
				<pubDate>Tue, 20 Dec 2022 15:31:08 -0500</pubDate>

									<content:encoded><![CDATA[<p>This dissertation presents an experiment conducted with human participants on human-information interaction with visualizations of ontologies. The research question is whether embedding visualizations or graph based visualizations lead to better task performance for human-information interaction. A literature review of word embeddings, information&hellip;<span class="activity-read-more" id="activity-read-more-1827212"><a href="https://hcommons.org/activity/p/1827212/" rel="nofollow ugc">[Read more]</a></span></p>
]]></content:encoded>
				
									<slash:comments>0</slash:comments>
				
							</item>
		
	</channel>
</rss>