Update README.md

README.md

@@ -26,7 +26,7 @@ We release all models introduced in our [paper](https://arxiv.org/pdf/2206.11147
 | Model      | Description | Recommended Application
 | ----------- | ----------- |----------- |
 | **rst-all-11b**                     | **Trained with all the signals below except signals that are used to train Gaokao models**        | **All applications below** （specialized models are recommended first if high performance is preferred） |
-| rst-fact-retrieval-11b              | Trained with the following signals: WordNet meaning, WordNet part-of-speech, WordNet synonym, WordNet antonym, wikiHow category hierarchy, Wikidata relation, Wikidata entity typing, Paperswithcode entity typing       | Knowledge extensive tasks, information extraction tasks,factual checker  |
+| rst-fact-retrieval-11b              | Trained with the following signals: WordNet meaning, WordNet part-of-speech, WordNet synonym, WordNet antonym, wikiHow category hierarchy, Wikidata relation, Wikidata entity typing, Paperswithcode entity typing       | Knowledge intensive tasks, information extraction tasks,factual checker  |
 | rst-summarization-11b               | Trained with the following signals: DailyMail summary, Paperswithcode summary, arXiv summary, wikiHow summary    | Summarization or other general generation tasks, meta-evaluation (e.g., BARTScore)  |
 | rst-temporal-reasoning-11b          | Trained with the following signals: DailyMail temporal information, wikiHow procedure       |  Temporal reasoning, relation extraction, event-based extraction |
 | rst-information-extraction-11b      | Trained with the following signals: Paperswithcode entity, Paperswithcode entity typing, Wikidata entity typing, Wikidata relation, Wikipedia entity       |  Named entity recognition, relation extraction and other general IE tasks in the news, scientific or other domains|