Fetching the paper…
Reading the bibliography…
Food Computing is currently a fast-growing field of research.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
Earlier work this paper cites.
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
John D. Lafferty, Andrew McCallum, and Fernando C. N. Pereira · 2001
Earlier work this paper cites.
Guide to the carnegie mellon university multimodal activity (cmu-mmac) database. robotics institute (2008), 2008
Fernando De la Torre, Jessica Hodgins, Adam Bargteil, Xavier Martin, Justin Macey, Alex Collado, and Pep Beltran · 2008
Earlier work this paper cites.
Ncbo annotator: semantic annotation of biomedical data
Clement Jonquet, Nigam Shah, Cherie Youn, Chris Callendar, Margaret-Anne Storey, and M Musen · 2009
Earlier work this paper cites.
Flow graph corpus from recipe texts
Shinsuke Mori, Hirokuni Maeta, Yoko Yamakata, and Tetsuro Sasada · 2014
Earlier work this paper cites.
Bidirectional LSTM-CRF models for sequence tagging
Zhiheng Huang, Wei Xu, and Kai Yu · 2015
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Contextual string embeddings for sequence labeling
Alan Akbik, Duncan Blythe, and Roland Vollgraf · 2018
Earlier work this paper cites.
A survey on food computing
Weiqing Min, Shuqiang Jiang, Linhu Liu, Yong Rui, and Ramesh Jain · 2019
Cited alongside, same era.
Recipe1m+: A dataset for learning cross-modal embeddings for cooking recipes and food images
Javier Marín, Aritro Biswas, Ferda Ofli, Nicholas Hynes, Amaia Salvador, Yusuf Aytar, Ingmar Weber, and Antonio Torralba · 2019
Cited alongside, same era.
FoodBase corpus: a new resource of annotated food entities
Gorjan Popovski, Barbara Koroušić Seljak, and Tome Eftimov · 2019
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
Cited alongside, same era.
RecipeNLG: A cooking recipes dataset for semi-structured text generation
Michal Bien, Michal Gilski, Martyna Maciejewska, Wojciech Taisner, Dawid Wisniewski, and Agnieszka Lawrynowicz · 2020
Cited alongside, same era.
BERTimbau: pretrained BERT models for Brazilian Portuguese
Fábio Souza, Rodrigo Nogueira, and Roberto Lotufo · 2020
Later among the works it cites.
Machine learning prediction of food processing
Giulia Menichetti, Babak Ravandi, Dariush Mozaffarian, and Albert-László Barabási · 2021
Later among the works it cites.
Named entity recognition and relation extraction: State-of-the-art
Zara Nasar, Syed Waqar Jaffry, and Muhammad Kamran Malik · 2021
Later among the works it cites.
brat: a web-based tool for NLP-assisted text annotation
Pontus Stenetorp, Sampo Pyysalo, Goran Topić, Tomoko Ohta, Sophia Ananiadou, and Jun’ichi Tsujii · 2021
Later among the works it cites.
A Fine-Tuned Bidirectional Encoder Representations From Transformers Model for Food Named-Entity Recognition: Algorithm Development and Validation
Riste Stojanov, Gorjan Popovski, Gjorgjina Cenikj, Barbara Koroušić Seljak, and Tome Eftimov · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Ikuya Yamada, Akari Asai, Hiroyuki Shindo, Hideaki Takeda, and Yuji Matsumoto · 2020
Cited alongside, same era.
BuTTER: BidirecTional LSTM for Food Named-Entity Recognition
Gjorgjina Cenikj, Gorjan Popovski, Riste Stojanov, Barbara Koroušić Seljak, and Tome Eftimov · 2020
Cited alongside, same era.
A Survey of Named-Entity Recognition Methods for Food Information Extraction
Gorjan Popovski, Barbara Koroušić Seljak, and Tome Eftimov · 2020
Cited alongside, same era.
FoodIE: A Rule-based Named-entity Recognition Method for Food Information Extraction:
Gorjan Popovski, Stefan Kochev, Barbara Seljak, and Tome Eftimov
Cited in the paper.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova
Cited in the paper.
Comparison of text mining models for food and dietary constituent named-entity recognition
Nadeesha Perera, Thi Thuy Linh Nguyen, Matthias Dehmer, and Frank Emmert-Streib · 2022
Closest in time.
SemEval-2013 task 9 : Extraction of drug-drug interactions from biomedical texts (DDIExtraction 2013)
Isabel Segura-Bedmar, Paloma Martínez, and María Herrero-Zazo · 2056
Closest in time.