activity
20192021
most citedAn Investigation Between Schema Linking and Text-to-SQL Performance

2 citations · 2 across the 2 of their papers we have counts for

collaborators

7 papers

cs.CL20212 cited

An Investigation Between Schema Linking and Text-to-SQL Performance

Yasufumi Taniguchi, Hiroki Nakayama, Kubo Takahiro +1

Text-to-SQL is a crucial task toward developing methods for understanding natural language by computers. Recent neural approaches deliver excellent performance; however, models tha…

cs.CL2020

Langsmith: An Interactive Academic Text Revision System

Takumi Ito, Tatsuki Kuribayashi, Masatoshi Hidaka +2

Despite the current diversity and inclusion initiatives in the academic community, researchers with a non-native command of English still face significant obstacles when writing pa…

cs.CL2020

A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction

Masato Mita, Shun Kiyono, Masahiro Kaneko +2

Existing approaches for grammatical error correction (GEC) largely rely on supervised learning with manually created GEC datasets. However, there has been little focus on verifying…

cs.CL2020

Word Rotator's Distance

Sho Yokoi, Ryo Takahashi, Reina Akama +2

A key principle in assessing textual similarity is measuring the degree of semantic overlap between two texts by considering the word alignment. Such alignment-based approaches are…

cs.CL2020

Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness

Reina Akama, Sho Yokoi, Jun Suzuki +1

Large-scale dialogue datasets have recently become available for training neural dialogue agents. However, these datasets have been reported to contain a non-negligible number of u…

cs.CL2019

JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus

Makoto Morishita, Jun Suzuki, Masaaki Nagata

Recent machine translation algorithms mainly rely on parallel corpora. However, since the availability of parallel corpora remains limited, only some resource-rich language pairs c…