Comments (4)
Hello,
thanks for your interest in our work!
In our methodology, we do not have an explicit mechanism for handling existential questions.
Therefore, we identify existential questions using keywords, and return "Yes" as the default answer.
Still, existential questions are valid questions in a conversation, and occurred naturally in our user study.
We hope that in future research, methods for dealing with existential questions are developed, which would
ultimately improve the performance by quite some margin.
from convex.
Thank you for your explanation, but I have another question. How do you solve the quantity questions like "how many"?
from convex.
CONVEX uses Wikidata as information source, and Wikidata has such information for many entities.
E.g. the Game of Thrones (https://www.wikidata.org/wiki/Q23572) entity has the information:
Game of Thrones - number of seasons - 8
So such questions are treated in the standard way outlined in the paper.
from convex.
Thank you for answer!
from convex.
Related Issues (20)
- A question about ConvQuestion HOT 1
- About settings.json
- Tagme and Entity recognition HOT 1
- How to get the Knowledge Graph HOT 7
- Node Embedding HOT 3
- Where to download the dataset HOT 3
- Count Questions HOT 4
- JSON files in data folder HOT 1
- About requirements HOT 8
- KG link does not work
- Predicate index HOT 2
- where is the knowledge graph HOT 1
- requests.get('https://tagme.d4science.org/tagme/tag‘)error HOT 3
- May I know what data is stored in these files? HOT 3
- what is 'qualifiers'? HOT 2
- Results not changing HOT 10
- pip install hdt does not work in python 3.7 macOS HOT 6
- Running problem HOT 3
- Custom knowledge graph HOT 1
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from convex.