Added link to the original paper for the models
@@ -257,25 +257,26 @@ You can find more here: `optimizer README`_
Available Models
----------------
-+----------------------------------------+-----------------------------------------------------------+
-| Name | Implementation |
-+========================================+===========================================================+
-| CTM (Bianchi et al. 2020) | https://github.com/MilaNLProc/contextualized-topic-models |
-+----------------------------------------+-----------------------------------------------------------+
-| ETM (Dieng et al. 2020) | https://github.com/adjidieng/ETM |
-+----------------------------------------+-----------------------------------------------------------+
-| HDP (Blei et al. 2004) | https://radimrehurek.com/gensim/ |
-+----------------------------------------+-----------------------------------------------------------+
-| LDA (Blei et al. 2003) | https://radimrehurek.com/gensim/ |
-+----------------------------------------+-----------------------------------------------------------+
-| LSI (Landauer et al. 1998) | https://radimrehurek.com/gensim/ |
-+----------------------------------------+-----------------------------------------------------------+
-| NMF (Lee and Seung 2000) | https://radimrehurek.com/gensim/ |
-+----------------------------------------+-----------------------------------------------------------+
-| NeuralLDA (Srivastava and Sutton 2017) | https://github.com/estebandito22/PyTorchAVITM |
-+----------------------------------------+-----------------------------------------------------------+
-| ProdLda (Srivastava and Sutton 2017) | https://github.com/estebandito22/PyTorchAVITM |
-+----------------------------------------+-----------------------------------------------------------+
++----------------------------------------+-----------------------------------------------------------+------------------------------------------------------------------------------------+
+| Name | Implementation | Link to original paper |
++========================================+===========================================================+====================================================================================+
+| CTM (Bianchi et al. 2020) | https://github.com/MilaNLProc/contextualized-topic-models | https://www.aclweb.org/anthology/2021.eacl-main.143/ |
++----------------------------------------+-----------------------------------------------------------+------------------------------------------------------------------------------------+
+| ETM (Dieng et al. 2020) | https://github.com/adjidieng/ETM | https://www.aclweb.org/anthology/2020.tacl-1.29 |
++----------------------------------------+-----------------------------------------------------------+------------------------------------------------------------------------------------+
+| HDP (Blei et al. 2004) | https://radimrehurek.com/gensim/ | https://people.eecs.berkeley.edu/~jordan/papers/hdp.pdf |
++----------------------------------------+-----------------------------------------------------------+------------------------------------------------------------------------------------+
+| LDA (Blei et al. 2003) | https://radimrehurek.com/gensim/ | https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf |
++----------------------------------------+-----------------------------------------------------------+------------------------------------------------------------------------------------+
+| LSI (Landauer et al. 1998) | https://radimrehurek.com/gensim/ | http://lsa.colorado.edu/papers/dp1.LSAintro.pdf |
++----------------------------------------+-----------------------------------------------------------+------------------------------------------------------------------------------------+
+| NMF (Lee and Seung 2000) | https://radimrehurek.com/gensim/ | https://papers.nips.cc/paper/1861-algorithms-for-non-negative-matrix-factorization |
++----------------------------------------+-----------------------------------------------------------+------------------------------------------------------------------------------------+
+| NeuralLDA (Srivastava and Sutton 2017) | https://github.com/estebandito22/PyTorchAVITM | arxiv.org/abs/1703.01488 |
++----------------------------------------+-----------------------------------------------------------+------------------------------------------------------------------------------------+
+| ProdLda (Srivastava and Sutton 2017) | https://github.com/estebandito22/PyTorchAVITM | arxiv.org/abs/1703.01488 |
++----------------------------------------+-----------------------------------------------------------+------------------------------------------------------------------------------------+
+
