ZeinabAghahadi/Syllogistic-Commonsense-Reasoning
Deductive Commonsense Reasoning
This helps evaluate or generate logical conclusions from statements. You provide two sentences as premises, and it determines if a conclusion can be inferred (syllogistic NLI) or generates a plausible conclusion (syllogistic NLG). This is useful for researchers and developers working on natural language understanding and generation, especially in the context of deductive reasoning.
No commits in the last 6 months.
Use this if you need to test the ability of language models to perform syllogistic reasoning or to generate logical conclusions from pairs of factual statements.
Not ideal if you are looking for a general-purpose conversational AI or a tool for highly nuanced, non-deductive forms of reasoning.
Stars
8
Forks
1
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Oct 03, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/ZeinabAghahadi/Syllogistic-Commonsense-Reasoning"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ymcui/cmrc2018
A Span-Extraction Dataset for Chinese Machine Reading Comprehension (CMRC 2018)
thunlp/MultiRD
Code and data of the AAAI-20 paper "Multi-channel Reverse Dictionary Model"
princeton-nlp/DensePhrases
[ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval...
IndexFziQ/KMRC-Papers
A list of recent papers regarding knowledge-based machine reading comprehension.
danqi/rc-cnn-dailymail
CNN/Daily Mail Reading Comprehension Task