Zero-shot relation extraction (ZSRE) aims to predict target relations that cannot be observed during training.
In this scenario, the quality of the n-best list considerably affects the occurrence of contradictions because the final response is chosen from this n-best list.
Interpretable rationales for model predictions are crucial in practical applications.
Masked language models (MLMs) have contributed to drastic performance improvements with regard to zero anaphora resolution (ZAR).
To tackle the challenge, this paper proposes a novel and practical task to explain evidences in recommending hotels given vague requests expressed freely in natural language.
This study addresses two underexplored issues on CDA, that is, how to reduce the computational cost of data augmentation and how to ensure the quality of the generated data.
Existing approaches for automated essay scoring and document representation learning typically rely on discourse parsers to incorporate discourse structure into text representation.
In general, the labels used in sequence labeling consist of different types of elements.
Existing automatic evaluation metrics for open-domain dialogue response generation systems correlate poorly with human evaluation.
Interpretable rationales for model predictions play a critical role in practical applications.
Most existing SAG systems predict scores based only on the answers, including the model used as base line in this paper, which gives the-state-of-the-art performance.
This paper provides an analytical assessment of student short answer responses with a view to potential benefits in pedagogical contexts.
Existing document embedding approaches mainly focus on capturing sequences of words in documents.
For several natural language processing (NLP) tasks, span representation design is attracting considerable attention as a promising new technique; a common basis for an effective design has been established.
1 code implementation • • Tsubasa Tagami, Hiroki Ouchi, Hiroki Asano, Kazuaki Hanawa, Kaori Uchiyama, Kaito Suzuki, Kentaro Inui, Atsushi Komiya, Atsuo Fujimura, Hitofumi Yanai, Ryo Yamashita, Akinori Machino
We present a new task, suspicious news detection using micro blog text.
The performance of Japanese predicate argument structure (PAS) analysis has improved in recent years thanks to the joint modeling of interactions between multiple predicates.