35 citations · 151 across the 44 of their papers we have counts for
5 papers · 1 filter
Source-side Prediction for Neural Headline Generation
Shun Kiyono, Sho Takase, Jun Suzuki +3
The encoder-decoder model is widely used in natural language generation tasks. However, the model sometimes suffers from repeated redundant generation, misses important phrases, an…
A Corpus of Deep Argumentative Structures as an Explanation to Argumentative Relations
Paul Reisert, Naoya Inoue, Naoaki Okazaki +1
In this paper, we compose a new task for deep argumentative structure analysis that goes beyond shallow discourse structure analysis. The idea is that argumentative relations can r…
A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse
Sosuke Kobayashi, Naoaki Okazaki, Kentaro Inui
This study addresses the problem of identifying the meaning of unknown words or entities in a discourse with respect to the word embedding approaches used in neural language models…
Composing Distributed Representations of Relational Patterns
Sho Takase, Naoaki Okazaki, Kentaro Inui
Learning distributed representations for relation instances is a central technique in downstream NLP applications. In order to address semantic modeling of relational patterns, thi…
Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization
Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki +1
We present in this paper our approach for modeling inter-topic preferences of Twitter users: for example, those who agree with the Trans-Pacific Partnership (TPP) also agree with f…