Update README.md

README.md

@@ -15,7 +15,7 @@ metrics:
 
 ## Model description
 
-This is a T5 Large fine-tuned for crowdsourced text aggregation tasks. The model takes multiple performers' responses and yields a single aggregated response. This approach was introduced for the first time during [VLDB 2021 Crowd Science Challenge](https://crowdscience.ai/challenges/vldb21) and originally implemented at the second-place competitor's [GitHub](https://github.com/A1exRey/VLDB2021_workshop_t5).
+This is a T5 Large fine-tuned for crowdsourced text aggregation tasks. The model takes multiple performers' responses and yields a single aggregated response. This approach was introduced for the first time during [VLDB 2021 Crowd Science Challenge](https://crowdscience.ai/challenges/vldb21) and originally implemented at the second-place competitor's [GitHub](https://github.com/A1exRey/VLDB2021_workshop_t5). The [paper](http://ceur-ws.org/Vol-2932/short2.pdf) describing this model was presented at the [2nd Crowd Science Workshop](https://crowdscience.ai/conference_events/vldb21).
 
 ## How to use
 
@@ -53,6 +53,19 @@ CrowdSpeech| test-other | 10.61
 
 
 ### BibTeX entry and citation info
+```bibtex
+@inproceedings{Pletenev:21,
+  author    = {Pletenev, Sergey},
+  title     = {{Noisy Text Sequences Aggregation as a Summarization Subtask}},
+  year      = {2021},
+  booktitle = {Proceedings of the 2nd Crowd Science Workshop: Trust, Ethics, and Excellence in Crowdsourced Data Management at Scale},
+  pages     = {15--20},
+  address   = {Copenhagen, Denmark},
+  issn      = {1613-0073},
+  url       = {http://ceur-ws.org/Vol-2932/short2.pdf},
+  language  = {english},
+}
+```
 
 ```bibtex
 @misc{pavlichenko2021vox,