Semantic Role Labeling (SRL) is the task of labeling semantic arguments for marked semantic predicates.
Zero-shot relation extraction (ZSRE) aims to predict target relations that cannot be observed during training.
Ranked #3 on Zero-shot Relation Classification on FewRel
Lexical complexity prediction (LCP) is the task of predicting the complexity of words in a text on a continuous scale.
This study argues that enhancing the semantic correlation between instances and relations is key to effectively solving the zero-shot relation extraction task.
Ranked #1 on Zero-shot Relation Classification on FewRel
With the success of neural language models (LMs), their language acquisition has gained much attention.
no code implementations • 23 May 2023 • Shohei Higashiyama, Hiroki Ouchi, Hiroki Teranishi, Hiroyuki Otomo, Yusuke Ide, Aitaro Yamamoto, Hiroyuki Shindo, Yuki Matsuda, Shoko Wakamiya, Naoya Inoue, Ikuya Yamada, Taro Watanabe
Geoparsing is a fundamental technique for analyzing geo-entity information in text.
We have constructed Arukikata Travelogue Dataset and released it free of charge for academic research.
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.
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.
Existing document embedding approaches mainly focus on capturing sequences of words in documents.
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.