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Found 13 papers, 3 papers with code
A-TIP: Attribute-aware Text Infilling via Pre-trained Language Model
Text infilling aims to restore incomplete texts by filling in blanks, which has attracted more attention recently because of its wide application in ancient text restoration and text rewriting.
Joint Learning-based Heterogeneous Graph Attention Network for Timeline Summarization
Previous studies on the timeline summarization (TLS) task ignored the information interaction between sentences and dates, and adopted pre-defined unlearnable representations for them.
Non-Axiomatic Term Logic: A Computational Theory of Cognitive Symbolic Reasoning
This paper presents Non-Axiomatic Term Logic (NATL) as a theoretical computational framework of humanlike symbolic reasoning in artificial intelligence.
Generating Repetitions with Appropriate Repeated Words
A repetition is a response that repeats words in the previous speaker's utterance in a dialogue.
Towards Table-to-Text Generation with Numerical Reasoning
In summary, our contributions are (1) a new dataset for numerical table-to-text generation using pairs of a table and a paragraph of a table description with richer inference from scientific papers, and (2) a table-to-text generation framework enriched with numerical reasoning.
Generating Weather Comments from Meteorological Simulations
The task of generating weather-forecast comments from meteorological simulations has the following requirements: (i) the changes in numerical values for various physical quantities need to be considered, (ii) the weather comments should be dependent on delivery time and area information, and (iii) the comments should provide useful information for users.
A POS Tagging Model Adapted to Learner English
Based on the discussion of possible causes of POS tagging errors in learner English, we show that deep neural models are particularly suitable for this.
The dialogue breakdown detection challenge: Task description, datasets, and evaluation metrics
Dialogue breakdown detection is a promising technique in dialogue systems.
