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08/02/2023
Chat Translation Error Detection for Assisting Cross-lingual Communications
In this paper, we describe the development of a communication support sy...
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06/26/2023
Exploring the Robustness of Large Language Models for Solving Programming Problems
Using large language models (LLMs) for source code has recently gained a...
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11/19/2022
Bipartite-play Dialogue Collection for Practical Automatic Evaluation of Dialogue Systems
Automation of dialogue system evaluation is a driving force for the effi...
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10/28/2022
Domain Adaptation of Machine Translation with Crowdworkers
Although a machine translation model trained with a large in-domain para...
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09/20/2022
Target-Guided Open-Domain Conversation Planning
Prior studies addressing target-oriented conversational tasks lack a cru...
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08/04/2022
N-best Response-based Analysis of Contradiction-awareness in Neural Response Generation Models
Avoiding the generation of responses that contradict the preceding conte...
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06/16/2022
Balancing Cost and Quality: An Exploration of Human-in-the-loop Frameworks for Automated Short Answer Scoring
Short answer scoring (SAS) is the task of grading short text written by ...
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06/01/2022
On Layer Normalizations and Residual Connections in Transformers
In the perspective of a layer normalization (LN) position, the architect...
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05/24/2022
Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model
Ensembling is a popular method used to improve performance as a last res...
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05/23/2022
Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond
Natural language processing technology has rapidly improved automated gr...
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02/25/2022
JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpus
Most current machine translation models are mainly trained with parallel...
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09/28/2021
Instance-Based Neural Dependency Parsing
Interpretable rationales for model predictions are crucial in practical ...
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09/13/2021
SHAPE: Shifted Absolute Position Embedding for Transformers
Position representation is crucial for building position-aware represent...
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02/03/2021
An Investigation Between Schema Linking and Text-to-SQL Performance
Text-to-SQL is a crucial task toward developing methods for understandin...
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01/01/2021
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
We review the EfficientQA competition from NeurIPS 2020. The competition...
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12/08/2020
Efficient Estimation of Influence of a Training Instance
Understanding the influence of a training instance on a neural network m...
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11/04/2020
PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents
Neural Machine Translation (NMT) has shown drastic improvement in its qu...
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10/09/2020
Langsmith: An Interactive Academic Text Revision System
Despite the current diversity and inclusion initiatives in the academic ...
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10/07/2020
A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction
Existing approaches for grammatical error correction (GEC) largely rely ...
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06/02/2020
Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition
In general, the labels used in sequence labeling consist of different ty...
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05/03/2020
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction
This paper investigates how to effectively incorporate a pre-trained mas...
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05/02/2020
Single Model Ensemble using Pseudo-Tags and Distinct Vectors
Model ensemble techniques often increase task performance in neural netw...
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05/02/2020
Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese
We examine a methodology using neural language models (LMs) for analyzin...
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04/30/2020
Word Rotator's Distance: Decomposing Vectors Gives Better Representations
One key principle for assessing semantic similarity between texts is to ...
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04/29/2020
Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition
Interpretable rationales for model predictions play a critical role in p...
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04/29/2020
Evaluating Dialogue Generation Systems via Response Selection
Existing automatic evaluation metrics for open-domain dialogue response ...
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04/29/2020
Utterance Pair Scoring for Noisy Dialogue Data Filtering
Filtering noisy training data is one of the key approaches to improving ...
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11/25/2019
JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus
Recent machine translation algorithms mainly rely on parallel corpora. H...
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10/21/2019
Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance
The writing process consists of several stages such as drafting, revisin...
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09/10/2019
Select and Attend: Towards Controllable Content Selection in Text Generation
Many text generation tasks naturally contain two steps: content selectio...
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09/05/2019
TEASPN: Framework and Protocol for Integrated Writing Assistance Environments
Language technologies play a key role in assisting people with their wri...
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09/02/2019
An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction
The incorporation of pseudo data in the training of grammatical error co...
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06/13/2019
Character n-gram Embeddings to Improve RNN Language Models
This paper proposes a novel Recurrent Neural Network (RNN) language mode...
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01/11/2019
Personalized Visited-POI Assignment to Individual Raw GPS Trajectories
Knowledge discovery from GPS trajectory data is an important topic in se...
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10/13/2018
Mixture of Expert/Imitator Networks: Scalable Semi-supervised Learning Framework
The current success of deep neural networks (DNNs) in an increasingly br...
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09/04/2018
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions
In this paper, we propose a new kernel-based co-occurrence measure that ...
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08/30/2018
Direct Output Connection for a High-Rank Language Model
This paper proposes a state-of-the-art recurrent neural network (RNN) la...
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05/08/2018
Interpretable Adversarial Perturbation in Input Embedding Space for Text
Following great success in the image processing field, the idea of adver...
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12/22/2017
Source-side Prediction for Neural Headline Generation
The encoder-decoder model is widely used in natural language generation ...
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09/26/2017
Input-to-Output Gate to Improve RNN Language Models
This paper proposes a reinforcing method that refines the output layers ...
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01/06/2017
Enumeration of Extractive Oracle Summaries
To analyze the limitations and the future directions of the extractive s...
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12/31/2016