rdf24+

layik · Mar 18, 2024 · 8d8b7ba · 8d8b7ba
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diff --git a/presentations/rdf24/rdf24.html b/presentations/rdf24/rdf24.html
@@ -683,8 +683,9 @@ <h2>Generation of KGs (more)</h2>
 <div class="columns">
 <div class="column" style="width:60%;">
 <ul>
-<li><p>Genearing Knowledge Graphs and using them later</p></li>
-<li><p>A paper to read is (Mihindukulasooriya et. al 2023) and</p>
+<li>Genearing Knowledge Graphs and using them later</li>
+<li>One thesis by (Canellas 2023) focuses on news streams</li>
+<li>A paper to read is (Mihindukulasooriya et. al 2023) and
 <ul>
 <li>its codebase: https://github.com/cenguix/Text2KGBench</li>
 </ul></li>
@@ -754,6 +755,7 @@ <h2>References</h2>
 <li>Mihindukulasooriya, Nandana, et al.&nbsp;“Text2kgbench: A benchmark for ontology-driven knowledge graph generation from text.” International Semantic Web Conference. Cham: Springer Nature Switzerland, 2023.</li>
 <li>Shi, Xiao, et al.&nbsp;“Hallucination mitigation in natural language generation from large-scale open-domain knowledge graphs.” Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.</li>
 <li>Agrawal, Garima, et al.&nbsp;“Can knowledge graphs reduce hallucinations in LLMs?: A survey.” arXiv preprint arXiv:2311.07914 (2023).</li>
+<li>Fernández Cañellas, Dèlia. “Knowledge graph population from news streams.” (2023). PhD thesis.</li>
 </ul>
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diff --git a/presentations/rdf24/rdf24.qmd b/presentations/rdf24/rdf24.qmd
@@ -210,7 +210,7 @@ digraph RDF {
 ::: columns
 ::: {.column width="60%"}
 - Genearing Knowledge Graphs and using them later
-
+- One thesis by (Canellas 2023) focuses on news streams
 - A paper to read is (Mihindukulasooriya et. al 2023) and
   - its codebase: https://github.com/cenguix/Text2KGBench
 
@@ -276,6 +276,7 @@ Image from Shi et al 2023
 - Mihindukulasooriya, Nandana, et al. "Text2kgbench: A benchmark for ontology-driven knowledge graph generation from text." International Semantic Web Conference. Cham: Springer Nature Switzerland, 2023.
 - Shi, Xiao, et al. "Hallucination mitigation in natural language generation from large-scale open-domain knowledge graphs." Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.
 - Agrawal, Garima, et al. "Can knowledge graphs reduce hallucinations in LLMs?: A survey." arXiv preprint arXiv:2311.07914 (2023).
+- Fernández Cañellas, Dèlia. "Knowledge graph population from news streams." (2023). PhD thesis.
 
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