Search Results for author: Hiroshi Kanayama

Found 17 papers, 2 papers with code

A Universal Dependencies Corpora Maintenance Methodology Using Downstream Application

no code implementations NAACL (SIGTYP) 2021 Ran Iwamoto, Hiroshi Kanayama, Alexandre Rademaker, Takuya Ohko

This paper investigates updates of Universal Dependencies (UD) treebanks in 23 languages and their impact on a downstream application.

POS

A Simple Yet Effective Corpus Construction Method for Chinese Sentence Compression

no code implementations LREC 2022 Yang Zhao, Hiroshi Kanayama, Issei Yoshida, Masayasu Muraoka, Akiko Aizawa

To remedy this shortcoming, we present a dependency-tree-based method to construct a Chinese corpus with 151k pairs of sentences and compression based on Chinese language-specific characteristics.

Sentence Sentence Compression

Sentence Identification with BOS and EOS Label Combinations

no code implementations31 Jan 2023 Takuma Udagawa, Hiroshi Kanayama, Issei Yoshida

To tackle this issue, we formulate a novel task of sentence identification, where the goal is to identify SUs while excluding NSUs in a given text.

Sentence Sentence segmentation

PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation

1 code implementation12 Oct 2022 Ishan Jindal, Alexandre Rademaker, Khoi-Nguyen Tran, Huaiyu Zhu, Hiroshi Kanayama, Marina Danilevsky, Yunyao Li

In this paper, we address key practical issues with existing evaluation scripts and propose a more strict SRL evaluation metric PriMeSRL.

Semantic Role Labeling Sentence

Scalable Cross-lingual Treebank Synthesis for Improved Production Dependency Parsers

no code implementations COLING 2020 Yousef El-Kurdi, Hiroshi Kanayama, Efsun Sarioglu Kayi, Vittorio Castelli, Todd Ward, Radu Florian

We present scalable Universal Dependency (UD) treebank synthesis techniques that exploit advances in language representation modeling which leverage vast amounts of unlabeled general-purpose multilingual text.

Data Augmentation

Interactive Construction of User-Centric Dictionary for Text Analytics

no code implementations ACL 2020 Ryosuke Kohita, Issei Yoshida, Hiroshi Kanayama, Tetsuya Nasukawa

We propose a methodology to construct a term dictionary for text analytics through an interactive process between a human and a machine, which helps the creation of flexible dictionaries with precise granularity required in typical text analysis.

Coordinate Structures in Universal Dependencies for Head-final Languages

no code implementations WS 2018 Hiroshi Kanayama, Na-Rae Han, Masayuki Asahara, Jena D. Hwang, Yusuke Miyao, Jinho D. Choi, Yuji Matsumoto

This paper discusses the representation of coordinate structures in the Universal Dependencies framework for two head-final languages, Japanese and Korean.

A neural parser as a direct classifier for head-final languages

no code implementations WS 2018 Hiroshi Kanayama, Masayasu Muraoka, Ryosuke Kohita

This paper demonstrates a neural parser implementation suitable for consistently head-final languages such as Japanese.

Dependency Parsing

A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task

no code implementations CONLL 2017 Hiroshi Kanayama, Masayasu Muraoka, Katsumasa Yoshikawa

This paper presents our system submitted for the CoNLL 2017 Shared Task, {``}Multilingual Parsing from Raw Text to Universal Dependencies.

Cross-Lingual Transfer Language Modelling +1

Multilingual Training of Crosslingual Word Embeddings

no code implementations EACL 2017 Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird, Trevor Cohn

Crosslingual word embeddings represent lexical items from different languages using the same vector space, enabling crosslingual transfer.

Bilingual Lexicon Induction Dependency Parsing +6

Universal Dependencies for Japanese

no code implementations LREC 2016 Takaaki Tanaka, Yusuke Miyao, Masayuki Asahara, Sumire Uematsu, Hiroshi Kanayama, Shinsuke Mori, Yuji Matsumoto

We present an attempt to port the international syntactic annotation scheme, Universal Dependencies, to the Japanese language in this paper.

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