- Deep Learning Based Named Entity Recognition Models for Recipes (LREC-COLING 2024)
- Named Entity Recognition by Character-based Word Classification using a Domain Specific Dictionary (CICLing 2019)
- A Comparison of Cooking Recipe Named Entities between Japanese and English (CEA 2017)
- Named Entity Recognizer Trainable from Partially Annotated Data (PACLING 2015)
- What does it take to bake a cake? The RecipeRef corpus and anaphora resolution in procedural text (Findings of ACL 2022)
- Recipe Instruction Semantics Corpus (RISeC): Resolving Semantic Structure and Zero Anaphora in Recipes (AACL-IJCNLP 2020)
- Towards Flow Graph Prediction of Open-Domain Procedural Texts (RepL4NLP 2023)
- EaT-PIM: Substituting Entities in Procedural Instructions Using Flow Graphs and Embeddings (ISWC 2022)
- Identifying Ingredient Substitutions Using a Knowledge Graph of Food (Frontiers in Artificial Intelligence 2021)
- A Method for Extracting Major Workflow composed of Ingredients, Tools, and Actions from Cooking Procedural Text (CEA 2016)
- Mise en Place: Unsupervised Interpretation of Instructional Recipes (EMNLP 2015)
- Predicting the Structure of Cooking Recipes (EMNLP 2015)
- A Framework for Procedural Text Understanding (IWPT 2015)
- Cooking with Semantics (SP14)
- A Machine Learning Approach to Recipe Text Processing (CwC 2012)
- CookingSense: A Culinary Knowledgebase with Multidisciplinary Assertions (LREC-COLING 2024)
- Extraction Method for a Recipe's Uniqueness based on Recipe Frequency and LexRank of Procedures (iiWAS 2020)
- Non-ingredient Detection in User-generated Recipes using the Sequence Tagging Approach (W-NUT 2020)
- Knack for Cooking Extraction from User Generated Recipe Sites (iiWAS 2018)
- Two-Step Validation in Character-based Ingredient Normalization (CEA 2018)
- Construction of a Cooking Ontology from Cooking Recipes and Patents (CEA 2014)
- Finding Food Entity Relationships using User-generated Data in Recipe Service (CIKM 2012)
- Multimodal Dish Pairing: Predicting Side Dishes to Serve with a Main Dish (CEA++ 2022)
- Hybrid Fusion with Intra- and Cross-Modality Attention for Image-Recipe Retrieval (SIGIR 2021)
- Towards Multi-Language Recipe Personalisation and Recommendation (RecSys 2020)
- Recipe Retrieval with Visual Query of Ingredients (SIGIR 2020)
- Exploiting Food Choice Biases for Healthier Recipe Recommendation (SIGIR 2017)
- Learning Cross-modal Embeddings for Cooking Recipes and Food Images (CVPR 2017)
- Health-aware Food Recommender System (RecSys 2015)
- Overview of the NTCIR-11 Cooking Recipe Search Task (NTCIR-11)
- Content-boosted Matrix Factorization for Recommender Systems: Experiments with Recipe Recommendation (RecSys 2011)
- Substructure Similarity Measurement in Chinese Recipes (WWW 2008)
- Temporal-Oriented Recipe for Transferring Large Vision-Language Model to Video Understanding (arXiv 2025)
- Improved Instruction Ordering in Recipe-Grounded Conversation (ACL 2023)
- Multi-Level Multimodal Transformer Network for Multimodal Recipe Comprehension (SIGIR 2020)
- Proactive Suggestion Generation: Data and Methods for Stepwise Task Assistance (SIGIR 2020)
- Real World Voice Assistant System for Cooking (INLG 2019)
- RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes (EMNLP 2018)
- Cooking Recipe Analysis based on Sequences of Distributed Representation on Procedure Texts and Associated Images (CEA 2020)
- Method for Detecting Near-duplicate Recipe Creators Based on Cooking Instructions and Food Images (CEA 2017)
- Clustering for Similar Recipes in User-Generated Recipe Sites Based on Main Ingredients and Main Seasoning (NBiS-2016)
- Clustering for Closely Similar Recipes to Extract Spam Recipes in User-generated Recipe Sites (iiWAS 2015)
- Cooking Up a Neural-based Model for Recipe Classification (LREC 2020)
- Kissing Cuisines: Exploring Worldwide Culinary Habits on the Web (WWW 2017)
- Discriminating Practical Recipes Based on Content Characteristics in Popular Social Recipes (CEA 2014)
- Assistive Recipe Editing through Critiquing (EACL 2023)
- Reading Between the Lines: Exploring Infilling in Visual Narratives (EMNLP 2020)
- Routing Enforced Generative Model for Recipe Generation (EMNLP 2020)
- Structure-Aware Generation Network for Recipe Generation from Images (ECCV 2020)
- RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System (WWW 2020)
- Storyboarding of Recipes: Grounded Contextual Generation (ACL 2019)
- Generating Personalized Recipes from Historical User Preferences (EMNLP 2019)
- Procedural Text Generation from a Photo Sequence (INLG 2019)
- Simulating Action Dynamics with Neural Process Networks (ICLR 2018)
- Inverse Cooking: Recipe Generation from Food Images (CVPR 2018)
- Reference-Aware Language Models (EMNLP 2017)
- Procedural Text Generation from an Execution Video (IJCNLP 2017)
- Globally Coherent Text Generation with Neural Checklist Models (EMNLP 2016)
- FlowGraph2Text: Automatic Sentence Skeleton Compilation for Procedural Text Generation (INLG 2014)
- Cultural Adaptation of Recipes (TACL 2024)
- Japanese-English Machine Translation of Recipe Texts (WAT 2016)
- KERL: Knowledge-Enhanced Personalized Recipe Recommendation using Large Language Models (arXiv 2025)
- Cooking Task Planning using LLM and Verified by Graph Network (arXiv 2025)
- Cuisine Connect: Personalized Recipe Recommender with Language Support(ICMLAS 2025)
- Culinary Class Wars: Evaluating LLMs using ASH in Cuisine Transfer Task (arXiv 2024)
- KitchenScale: Learning to predict ingredient quantities from recipe contexts (Expert Systems with Applications 2023)
- RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer (CIKM 2022)
- Recipe-oriented Food Logging for Nutritional Management (MM 2022)
- Learning Program Representations for Food Images and Cooking Recipes (CVPR 2022)
- RecipeBowl: A Cooking Recommender for Ingredients and Recipes Using Set Transformer (IEEE Access 2021)
- FlavorGraph: A large-scale food-chemical graph for generating food representations and recommending food pairings (Scientific Report 2021)
- SmartRecepies: Towards Cooking and Food Shopping Integration via Mobile Recipes Recommender System (iiWAS 2020)
- Calorie Estimation in a Real-World Recipe Service (IAAI-20)
- KitcheNette: Predicting and Ranking Food Ingredient Pairings using Siamese Neural Network (IJCAI 2019)
- AI Inspired Recipes: Designing Computationally Creative Food Combos (CHI 2019 Late-Breaking Work)
- RecipeScape: An Interactive Tool for Analyzing Cooking Instructions at Scale (CHI 2018)
- Recipe Popularity Prediction with Deep Visual-Semantic Fusion (CIKM 2017)
- Feature Extraction and Summarization of Recipes Using Flow Graph (SocInfo 2013)
- RECIPE4U: Student-ChatGPT Interaction Dataset in EFL Writing Education (LREC-COLING 2024)
- Constructing a Culinary Interview Dialogue Corpus with Video Conferencing Tool (LREC 2022)
- Aligning Actions Across Recipe Graphs (EMNLP 2021)
- Cookpad Parsed Corpus: Linguistic Annotations of Japanese Recipes (LAW 2020)
- Multi-modal Cooking Workflow Construction for Food Recipes (ACM MM 2020)
- A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks (ACL 2020)
- Visual Grounding Annotation of Recipe Flow Graph (LREC 2020)
- English Recipe Flow Graph Corpus (LREC 2020)
- Cookpad Image Dataset: An Image Collection as Infrastructure for Food Research (SIGIR 2017)
- A Large-Scale Recipe and Meal Data Collection as Infrastructure for Food Research (LREC 2016)
- KUSK Object Dataset: Recording Access to Objects in Food Preparation (CEA 2016)
- KUSK Dataset: Toward a Direct Understanding of Recipe Text and Human Cooking Activity (CEA 2014)
- Flow Graph Corpus from Recipe Texts (LREC 2014)
- SOUR CREAM: Toward Semantic Processing of Recipes
- CoGamy2025 (ICDM Workshop 2025)