---
title: "Keihanshin — works of 2006: 3 papers, the most cited first"
description: "3 works of Keihanshin from 2006 in our library, the most cited first. Among them: Exploiting Syntactic Patterns as Clues in Zero-Anaphora…"
canonical: "https://research.elamur.ai/free/en/agglomerations/keihanshin/year/2006/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/agglomerations/keihanshin/year/2006/)

[home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [agglomerations](https://md.research.elamur.ai/free/en/agglomerations/) / [Keihanshin](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/) / 2006

# Works of Keihanshin from 2006

3 works · the most cited first · [← Keihanshin](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/)

1. **[Exploiting Syntactic Patterns as Clues in Zero-Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/iida-2006-exploiting-syntactic-patterns-as-clues/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ryu Iida, Kentaro Inui, Yuji Matsumoto*2006 · 84 citations*
2. **[A Feedback-Augmented Method for Detecting Errors in the Writing of Learners of English](https://md.research.elamur.ai/free/en/papers/nagata-2006-feedback-augmented-method-detecting-errors/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ryo Nagata, Atsuo Kawai, Koichiro Morihiro, et al.*2006 · 70 citations*
3. **[Reinforcing English Countability Prediction with One Countability per Discourse Property](https://md.research.elamur.ai/free/en/papers/nagata-2006-reinforcing-english-countability-prediction-one/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ryo Nagata, Atsuo Kawai, Koichiro Morihiro, et al.*2006 · 7 citations*
- [← back to](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/) — Keihanshin
