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Found 15 papers, 6 papers with code
Routing Enforced Generative Model for Recipe Generation
One of the most challenging part of recipe generation is to deal with the complex restrictions among the input ingredients.
On the Effectiveness of Sentence Encoding for Intent Detection Meta-Learning
Recent studies on few-shot intent detection have attempted to formulate the task as a meta-learning problem, where a meta-learning model is trained with a certain capability to quickly adapt to newly specified few-shot tasks with potentially unseen intent categories.
Homophonic Pun Generation with Lexically Constrained Rewriting
Punning is a creative way to make conversation enjoyable and literary writing elegant.
All Data on the Table: Novel Dataset and Benchmark for Cross-Modality Scientific Information Extraction
To close this gap in data availability and enable cross-modality IE, while alleviating labeling costs, we propose a semi-supervised pipeline for annotating entities in text, as well as entities and relations in tables, in an iterative procedure.
Data Distribution Bottlenecks in Grounding Language Models to Knowledge Bases
Language models (LMs) have already demonstrated remarkable abilities in understanding and generating both natural and formal language.
Open-world Story Generation with Structured Knowledge Enhancement: A Comprehensive Survey
Storytelling and narrative are fundamental to human experience, intertwined with our social and cultural engagement.
TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Bases
Pre-trained language models (PLMs) have shown their effectiveness in multiple scenarios.
Designs, Motion Mechanism, Motion Coordination, and Communication of Bionic Robot Fishes: A Survey
Various methods are needed to narrow the gap in swimming performance between robot fishes and fish.
ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question Answering
We present Retriever-Transducer-Checker (ReTraCk), a neural semantic parsing framework for large scale knowledge base question answering (KBQA).
Ranked #1 on
Knowledge Base Question Answering
on GrailQA
Automated Chess Commentator Powered by Neural Chess Engine
In this paper, we explore a new approach for automated chess commentary generation, which aims to generate chess commentary texts in different categories (e. g., description, comparison, planning, etc.).
A Neural Approach to Irony Generation
Ironies can not only express stronger emotions but also show a sense of humor.
How to Avoid Sentences Spelling Boring? Towards a Neural Approach to Unsupervised Metaphor Generation
In order to create novel metaphors, we propose a neural approach to metaphor generation and explore the shared inferential structure of a metaphorical usage and a literal usage of a verb.
A Neural Approach to Pun Generation
Since sequence-to-sequence models provide an effective technique for text generation, it is promising to investigate these models on the pun generation task.
If You Even Don't Have a Bit of Bible: Learning Delexicalized POS Taggers
Part-of-speech (POS) induction is one of the most popular tasks in research on unsupervised NLP.
