64 citations · 100 across the 16 of their papers we have counts for
15 papers · 1 filter
MQM-Chat: Multidimensional Quality Metrics for Chat Translation
Yunmeng Li, Jun Suzuki, Makoto Morishita +2
The complexities of chats pose significant challenges for machine translation models. Recognizing the need for a precise evaluation metric to address the issues of chat translation…
An Investigation of Warning Erroneous Chat Translations in Cross-lingual Communication
Yunmeng Li, Jun Suzuki, Makoto Morishita +2
Machine translation models are still inappropriate for translating chats, despite the popularity of translation software and plug-in applications. The complexity of dialogues poses…
A Large Collection of Model-generated Contradictory Responses for Consistency-aware Dialogue Systems
Shiki Sato, Reina Akama, Jun Suzuki +1
Mitigating the generation of contradictory responses poses a substantial challenge in dialogue response generation. The quality and quantity of available contradictory response dat…
Balancing Cost and Quality: An Exploration of Human-in-the-loop Frameworks for Automated Short Answer Scoring
Hiroaki Funayama, Tasuku Sato, Yuichiroh Matsubayashi +3
Short answer scoring (SAS) is the task of grading short text written by a learner. In recent years, deep-learning-based approaches have substantially improved the performance of SA…
Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond
Masato Mita, Keisuke Sakaguchi, Masato Hagiwara +3
Natural language processing technology has rapidly improved automated grammatical error correction tasks, and the community begins to explore document-level revision as one of the…
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…
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
Sewon Min, Jordan Boyd-Graber, Chris Alberti +50
We review the EfficientQA competition from NeurIPS 2020. The competition focused on open-domain question answering (QA), where systems take natural language questions as input and…
PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents
Ryo Fujii, Masato Mita, Kaori Abe +4
Neural Machine Translation (NMT) has shown drastic improvement in its quality when translating clean input, such as text from the news domain. However, existing studies suggest tha…
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…
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…
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…
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…
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…
Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance
Takumi Ito, Tatsuki Kuribayashi, Hayato Kobayashi +4
The writing process consists of several stages such as drafting, revising, editing, and proofreading. Studies on writing assistance, such as grammatical error correction (GEC), hav…
Enumeration of Extractive Oracle Summaries
Tsutomu Hirao, Masaaki Nishino, Jun Suzuki +1
To analyze the limitations and the future directions of the extractive summarization paradigm, this paper proposes an Integer Linear Programming (ILP) formulation to obtain extract…