https://arxiv.org/abs/2405.00523

Skip to main content
Cornell University
We gratefully acknowledge support from the Simons Foundation, member
institutions, and all contributors. Donate
 
arxiv logo > cs > arXiv:2405.00523
[                    ]

Help | Advanced Search

[All fields        ]
Search
arXiv logo
Cornell University Logo
[                    ] GO
quick links

  * Login
  * Help Pages
  * About

Computer Science > Artificial Intelligence

arXiv:2405.00523 (cs)
[Submitted on 1 May 2024]

Title:CookingSense: A Culinary Knowledgebase with Multidisciplinary
Assertions

Authors:Donghee Choi, Mogan Gim, Donghyeon Park, Mujeen Sung, Hyunjae
Kim, Jaewoo Kang, Jihun Choi
View a PDF of the paper titled CookingSense: A Culinary Knowledgebase
with Multidisciplinary Assertions, by Donghee Choi and 6 other
authors
View PDF HTML (experimental)

    Abstract:This paper introduces CookingSense, a descriptive
    collection of knowledge assertions in the culinary domain
    extracted from various sources, including web data, scientific
    papers, and recipes, from which knowledge covering a broad range
    of aspects is acquired. CookingSense is constructed through a
    series of dictionary-based filtering and language model-based
    semantic filtering techniques, which results in a rich
    knowledgebase of multidisciplinary food-related assertions.
    Additionally, we present FoodBench, a novel benchmark to evaluate
    culinary decision support systems. From evaluations with
    FoodBench, we empirically prove that CookingSense improves the
    performance of retrieval augmented language models. We also
    validate the quality and variety of assertions in CookingSense
    through qualitative analysis.

Comments: LREC-COLING 2024 Accepted
Subjects: Artificial Intelligence (cs.AI); Computation and Language
          (cs.CL)
Cite as:  arXiv:2405.00523 [cs.AI]
          (or arXiv:2405.00523v1 [cs.AI] for this version)
          https://doi.org/10.48550/arXiv.2405.00523
          Focus to learn more
          arXiv-issued DOI via DataCite

Submission history

From: Donghee Choi [view email]
[v1] Wed, 1 May 2024 13:58:09 UTC (272 KB)
Full-text links:

Access Paper:

    View a PDF of the paper titled CookingSense: A Culinary
    Knowledgebase with Multidisciplinary Assertions, by Donghee Choi
    and 6 other authors
  * View PDF
  * HTML (experimental)
  * TeX Source
  * Other Formats

license icon view license
Current browse context:
cs.AI
< prev   |   next >
new | recent | 2405
Change to browse by:
cs
cs.CL

References & Citations

  * NASA ADS
  * Google Scholar
  * Semantic Scholar

a export BibTeX citation Loading...

BibTeX formatted citation

x
[loading...          ]
Data provided by:

Bookmark

BibSonomy logo Reddit logo
(*) Bibliographic Tools

Bibliographic and Citation Tools

[ ] Bibliographic Explorer Toggle
Bibliographic Explorer (What is the Explorer?)
[ ] Litmaps Toggle
Litmaps (What is Litmaps?)
[ ] scite.ai Toggle
scite Smart Citations (What are Smart Citations?)
( ) Code, Data, Media

Code, Data and Media Associated with this Article

[ ] Links to Code Toggle
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
[ ] DagsHub Toggle
DagsHub (What is DagsHub?)
[ ] GotitPub Toggle
Gotit.pub (What is GotitPub?)
[ ] Links to Code Toggle
Papers with Code (What is Papers with Code?)
[ ] ScienceCast Toggle
ScienceCast (What is ScienceCast?)
( ) Demos

Demos

[ ] Replicate Toggle
Replicate (What is Replicate?)
[ ] Spaces Toggle
Hugging Face Spaces (What is Spaces?)
[ ] Spaces Toggle
TXYZ.AI (What is TXYZ.AI?)
( ) Related Papers

Recommenders and Search Tools

[ ] Link to Influence Flower
Influence Flower (What are Influence Flowers?)
[ ] Connected Papers Toggle
Connected Papers (What is Connected Papers?)
[ ] Core recommender toggle
CORE Recommender (What is CORE?)

  * Author
  * Venue
  * Institution
  * Topic

( ) About arXivLabs

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and
share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have
embraced and accepted our values of openness, community, excellence,
and user data privacy. arXiv is committed to these values and only
works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community?
Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is
MathJax?)

  * About
  * Help

  * Click here to contact arXiv Contact
  * Click here to subscribe Subscribe

  * Copyright
  * Privacy Policy

  * Web Accessibility Assistance
  * arXiv Operational Status
    Get status notifications via email or slack