diff --git a/README.md b/README.md index d4b64eab..e53d1077 100644 --- a/README.md +++ b/README.md @@ -11,7 +11,7 @@ versions

-This toolkit contains tools to extract conversational features and analyze social phenomena in conversations, using a [single unified interface](https://convokit.cornell.edu/documentation/architecture.html) inspired by (and compatible with) scikit-learn. Several large [conversational datasets](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit#datasets) are included together with scripts exemplifying the use of the toolkit on these datasets. The latest version is [2.4.5](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit/releases/tag/v2.4) (released 23 Feb 2021); follow the [project on GitHub](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit) to keep track of updates. +This toolkit contains tools to extract conversational features and analyze social phenomena in conversations, using a [single unified interface](https://convokit.cornell.edu/documentation/architecture.html) inspired by (and compatible with) scikit-learn. Several large [conversational datasets](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit#datasets) are included together with scripts exemplifying the use of the toolkit on these datasets. The latest version is [2.5](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit/releases/tag/v2.5) (released 06 Jul 2021); follow the [project on GitHub](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit) to keep track of updates. Read our [documentation](https://convokit.cornell.edu/documentation) or try ConvoKit in our [interactive tutorial](https://colab.research.google.com/github/CornellNLP/Cornell-Conversational-Analysis-Toolkit/blob/master/examples/Introduction_to_ConvoKit.ipynb). @@ -31,7 +31,7 @@ Example: [understanding the (mis)use of politeness strategies in conversations g A framework for characterizing utterances and terms based on their expected conversational context, consisting of model implementations and wrapper pipelines. Examples: [deriving question types and other characterizations in British parliamentary question periods](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit/blob/master/convokit/expected_context_framework/demos/parliament_demo.ipynb), -[exploration of Switchboard dialog acts corpus](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit/blob/master/convokit/expected_context_framework/demos/switchboard_exploration_demo.ipynb) [examining Wikipedia talk page discussions](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit/blob/master/convokit/expected_context_framework/demos/wiki_awry_demo.ipynb) and [computing the orientation of justice utterances in the US Supreme Court](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit/blob/master/convokit/expected_context_framework/demos/scotus_orientation_demo.ipynb) +[exploration of Switchboard dialog acts corpus](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit/blob/master/convokit/expected_context_framework/demos/switchboard_exploration_demo.ipynb), [examining Wikipedia talk page discussions](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit/blob/master/convokit/expected_context_framework/demos/wiki_awry_demo.ipynb) and [computing the orientation of justice utterances in the US Supreme Court](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit/blob/master/convokit/expected_context_framework/demos/scotus_orientation_demo.ipynb)