update(homepage): add CQA talks

HKUST-KnowComp · Dec 2, 2023 · 4455c23 · 4455c23
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diff --git a/docs/doctrees/environment.pickle b/docs/doctrees/environment.pickle
diff --git a/docs/doctrees/index.doctree b/docs/doctrees/index.doctree
diff --git a/docs/html/_sources/index.rst.txt b/docs/html/_sources/index.rst.txt
@@ -33,7 +33,7 @@ Related Projects
 
 * `ASER Extraction, Conceptualization, Usage, and APIs <https://github.com/HKUST-KnowComp/ASER>`_
 
-* `AbsPyramid: Bechmarking Abstraction Bbility of LLMs <https://github.com/HKUST-KnowComp/AbsPyramid>`_
+* `AbsPyramid: Bechmarking Abstraction Ability of LLMs <https://github.com/HKUST-KnowComp/AbsPyramid>`_
 
 * `Abstract ATOMIC <https://github.com/HKUST-KnowComp/atomic-conceptualization>`_
 
@@ -57,6 +57,8 @@ Related Projects
 Talks
 --------------------------------------------------------------------------------
 
+* 2023 November: Amazon/NVIDIA/Huawei/WeBank. Complex Query Answering on Neural Knowledge Graphs with Rich Semantics. [`pdf <http://home.cse.ust.hk/~yqsong/papers/CQA-RichSemantics-YangqiuSong-Final.pdf>`_] [`ppt <http://home.cse.ust.hk/~yqsong/papers/CQA-RichSemantics-YangqiuSong-Final.pptx>`_]
+
 * 2023 July: KDD-China. Activity (or Process), State, and Event-based Knowledge Graphs. [`pdf <http://home.cse.ust.hk/~yqsong/papers/2023-KDD-China-YangqiuSong-Final.pdf>`_] [`ppt <http://home.cse.ust.hk/~yqsong/papers/2023-KDD-China-YangqiuSong-Final.pptx>`_]
 
 * 2022 July: Amazon Search Science Team. Acquiring and Modeling Abstract Commonsense Knowledge via Conceptualization. [`pdf <http://home.cse.ust.hk/~yqsong/papers/202207-YangqiuSong-Conceptualization-Final.pdf>`_] [`ppt <http://home.cse.ust.hk/~yqsong/papers/202207-YangqiuSong-Conceptualization-Final.pptx>`_]

diff --git a/docs/html/index.html b/docs/html/index.html
@@ -107,7 +107,7 @@ <h2>Data Download<a class="headerlink" href="#data-download" title="Link to this
 <h2>Related Projects<a class="headerlink" href="#related-projects" title="Link to this heading"></a></h2>
 <ul class="simple">
 <li><p><a class="reference external" href="https://github.com/HKUST-KnowComp/ASER">ASER Extraction, Conceptualization, Usage, and APIs</a></p></li>
-<li><p><a class="reference external" href="https://github.com/HKUST-KnowComp/AbsPyramid">AbsPyramid: Bechmarking Abstraction Bbility of LLMs</a></p></li>
+<li><p><a class="reference external" href="https://github.com/HKUST-KnowComp/AbsPyramid">AbsPyramid: Bechmarking Abstraction Ability of LLMs</a></p></li>
 <li><p><a class="reference external" href="https://github.com/HKUST-KnowComp/atomic-conceptualization">Abstract ATOMIC</a></p></li>
 <li><p><a class="reference external" href="https://github.com/HKUST-KnowComp/CSKB-Population">Benchmarking Commonsense Knowledge Base Population</a></p></li>
 <li><p><a class="reference external" href="https://github.com/HKUST-KnowComp/TransOMCS">Transfer to OMCS</a></p></li>
@@ -122,6 +122,7 @@ <h2>Related Projects<a class="headerlink" href="#related-projects" title="Link t
 <section id="talks">
 <h2>Talks<a class="headerlink" href="#talks" title="Link to this heading"></a></h2>
 <ul class="simple">
+<li><p>2023 November: Amazon/NVIDIA/Huawei/WeBank. Complex Query Answering on Neural Knowledge Graphs with Rich Semantics. [<a class="reference external" href="http://home.cse.ust.hk/~yqsong/papers/CQA-RichSemantics-YangqiuSong-Final.pdf">pdf</a>] [<a class="reference external" href="http://home.cse.ust.hk/~yqsong/papers/CQA-RichSemantics-YangqiuSong-Final.pptx">ppt</a>]</p></li>
 <li><p>2023 July: KDD-China. Activity (or Process), State, and Event-based Knowledge Graphs. [<a class="reference external" href="http://home.cse.ust.hk/~yqsong/papers/2023-KDD-China-YangqiuSong-Final.pdf">pdf</a>] [<a class="reference external" href="http://home.cse.ust.hk/~yqsong/papers/2023-KDD-China-YangqiuSong-Final.pptx">ppt</a>]</p></li>
 <li><p>2022 July: Amazon Search Science Team. Acquiring and Modeling Abstract Commonsense Knowledge via Conceptualization. [<a class="reference external" href="http://home.cse.ust.hk/~yqsong/papers/202207-YangqiuSong-Conceptualization-Final.pdf">pdf</a>] [<a class="reference external" href="http://home.cse.ust.hk/~yqsong/papers/202207-YangqiuSong-Conceptualization-Final.pptx">ppt</a>]</p></li>
 <li><p>2021 Novermber: CCKS Tutorial. Commonsense Knowledge Acquisition and Reasoning. Presented by Yangqiu Song. [<a class="reference external" href="http://home.cse.ust.hk/~yqsong/papers/CCKS2021Tutorial-Commonsense-YangqiuSong.pdf">pdf</a>] [<a class="reference external" href="http://home.cse.ust.hk/~yqsong/papers/CCKS2021Tutorial-Commonsense-YangqiuSong.pptx">ppt</a>]</p></li>

diff --git a/docs/html/searchindex.js b/docs/html/searchindex.js
diff --git a/docs/source/index.rst b/docs/source/index.rst
@@ -33,7 +33,7 @@ Related Projects
 
 * `ASER Extraction, Conceptualization, Usage, and APIs <https://github.com/HKUST-KnowComp/ASER>`_
 
-* `AbsPyramid: Bechmarking Abstraction Bbility of LLMs <https://github.com/HKUST-KnowComp/AbsPyramid>`_
+* `AbsPyramid: Bechmarking Abstraction Ability of LLMs <https://github.com/HKUST-KnowComp/AbsPyramid>`_
 
 * `Abstract ATOMIC <https://github.com/HKUST-KnowComp/atomic-conceptualization>`_
 
@@ -57,6 +57,8 @@ Related Projects
 Talks
 --------------------------------------------------------------------------------
 
+* 2023 November: Amazon/NVIDIA/Huawei/WeBank. Complex Query Answering on Neural Knowledge Graphs with Rich Semantics. [`pdf <http://home.cse.ust.hk/~yqsong/papers/CQA-RichSemantics-YangqiuSong-Final.pdf>`_] [`ppt <http://home.cse.ust.hk/~yqsong/papers/CQA-RichSemantics-YangqiuSong-Final.pptx>`_]
+
 * 2023 July: KDD-China. Activity (or Process), State, and Event-based Knowledge Graphs. [`pdf <http://home.cse.ust.hk/~yqsong/papers/2023-KDD-China-YangqiuSong-Final.pdf>`_] [`ppt <http://home.cse.ust.hk/~yqsong/papers/2023-KDD-China-YangqiuSong-Final.pptx>`_]
 
 * 2022 July: Amazon Search Science Team. Acquiring and Modeling Abstract Commonsense Knowledge via Conceptualization. [`pdf <http://home.cse.ust.hk/~yqsong/papers/202207-YangqiuSong-Conceptualization-Final.pdf>`_] [`ppt <http://home.cse.ust.hk/~yqsong/papers/202207-YangqiuSong-Conceptualization-Final.pptx>`_]