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Found 37 papers, 1 papers with code
Recipe Generation from Unsegmented Cooking Videos
Based on this, we hypothesize that we can obtain correct recipes by selecting oracle events from the output events of the DVC model and re-generating sentences for them.
Visual Recipe Flow: A Dataset for Learning Visual State Changes of Objects with Recipe Flows
We present a new multimodal dataset called Visual Recipe Flow, which enables us to learn each cooking action result in a recipe text.
Neural Text Generation with Artificial Negative Examples
In this paper, we propose to suppress an arbitrary type of errors by training the text generation model in a reinforcement learning framework, where we use a trainable reward function that is capable of discriminating between references and sentences containing the targeted type of errors.
Visual Grounding Annotation of Recipe Flow Graph
Visual grounding is provided as bounding boxes to image sequences of recipes, and each bounding box is linked to an element of the workflow.
Annotating Event Appearance for Japanese Chess Commentary Corpus
In this paper, we propose {``}Event Appearance{''} labels that show the relationship between events mentioned in texts and those happening in the real world.
A Contract Corpus for Recognizing Rights and Obligations
Therefore, a language-processing system that can present information concerning rights and obligations found within a given contract document would help a contracting party to make better decisions.
English Recipe Flow Graph Corpus
For r-NE tagging we train a deep neural network NER tool; to compute flow graphs we train a dependency-style parsing procedure which we apply to the entire sequence of r-NEs in a recipe. In evaluations, our systems achieve 71. 1 to 87. 5 F1, demonstrating that our annotation scheme is learnable.
Procedural Text Generation from a Photo Sequence
Multimedia procedural texts, such as instructions and manuals with pictures, support people to share how-to knowledge.
Content Word-based Sentence Decoding and Evaluating for Open-domain Neural Response Generation
Various encoder-decoder models have been applied to response generation in open-domain dialogs, but a majority of conventional models directly learn a mapping from lexical input to lexical output without explicitly modeling intermediate representations.
Procedural Text Generation from an Execution Video
In this paper, we focus on procedure execution videos, in which a human makes or repairs something and propose a method for generating procedural texts from them.
Analysis of the Effect of Dependency Information on Predicate-Argument Structure Analysis and Zero Anaphora Resolution
This paper investigates and analyzes the effect of dependency information on predicate-argument structure analysis (PASA) and zero anaphora resolution (ZAR) for Japanese, and shows that a straightforward approach of PASA and ZAR works effectively even if dependency information was not available.
Universal Dependencies for Japanese
We present an attempt to port the international syntactic annotation scheme, Universal Dependencies, to the Japanese language in this paper.
A Japanese Chess Commentary Corpus
We describe a detailed definition of named entities and show some statistics of our game commentary corpus.
Wikification for Scriptio Continua
To address this problem, we propose to define a separate task that directly links given texts to an external resource, that is, wikification in the case of Wikipedia.
Language Resource Addition Strategies for Raw Text Parsing
In Japanese, the raw text parsing is divided into three steps: word segmentation, part-of-speech tagging, and dependency parsing.
Language Resource Addition: Dictionary or Corpus?
The experimental results showed that the annotated sentence addition to the training corpus is better than the entries addition to the dictionary.
A Japanese Word Dependency Corpus
Dictionary example sentences have pronunciation annotation and cover basic vocabulary in Japanese with English sentence equivalent.
