b'Baosong Yang'

research

∙ 07/12/2023

PolyLM: An Open Source Polyglot Large Language Model

Large language models (LLMs) demonstrate remarkable ability to comprehen...

0 Xiangpeng Wei, et al. ∙

research

∙ 05/26/2023

Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine Translation

k-Nearest neighbor machine translation (kNN-MT) has attracted increasing...

0 Zhiwei Cao, et al. ∙

research

∙ 05/04/2023

From Statistical Methods to Deep Learning, Automatic Keyphrase Prediction: A Survey

Keyphrase prediction aims to generate phrases (keyphrases) that highly s...

0 Binbin Xie, et al. ∙

research

∙ 02/17/2023

Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors

Fine-grained information on translation errors is helpful for the transl...

0 Keqin Bao, et al. ∙

research

∙ 11/25/2022

Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?

Neural machine translation (NMT) is often criticized for failures that h...

0 Pei Zhang, et al. ∙

research

∙ 11/13/2022

WR-ONE2SET: Towards Well-Calibrated Keyphrase Generation

Keyphrase generation aims to automatically generate short phrases summar...

0 Binbin Xie, et al. ∙

research

∙ 10/18/2022

Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Task

In this paper, we present our submission to the sentence-level MQM bench...

0 Keqin Bao, et al. ∙

research

∙ 10/18/2022

Alibaba-Translate China's Submission for WMT 2022 Metrics Shared Task

In this report, we present our submission to the WMT 2022 Metrics Shared...

0 Yu Wan, et al. ∙

research

∙ 08/11/2022

Draft, Command, and Edit: Controllable Text Editing in E-Commerce

Product description generation is a challenging and under-explored task....

0 Kexin Yang, et al. ∙

research

∙ 05/08/2022

Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis

Recent literature focuses on utilizing the entity information in the sen...

0 Yiwei Wang, et al. ∙

research

∙ 05/05/2022

Dangling-Aware Entity Alignment with Mixed High-Order Proximities

We study dangling-aware entity alignment in knowledge graphs (KGs), whic...

0 Juncheng Liu, et al. ∙

research

∙ 04/28/2022

Tailor: A Prompt-Based Approach to Attribute-Based Controlled Text Generation

Attribute-based Controlled Text Generation (CTG) refers to generating se...

0 Kexin Yang, et al. ∙

research

∙ 04/28/2022

Attention Mechanism with Energy-Friendly Operations

Attention mechanism has become the dominant module in natural language p...

0 Yu Wan, et al. ∙

research

∙ 04/28/2022

RoBLEURT Submission for the WMT2021 Metrics Task

In this paper, we present our submission to Shared Metrics Task: RoBLEUR...

0 Yu Wan, et al. ∙

research

∙ 04/28/2022

UniTE: Unified Translation Evaluation

Translation quality evaluation plays a crucial role in machine translati...

0 Yu Wan, et al. ∙

research

∙ 03/01/2022

RMBR: A Regularized Minimum Bayes Risk Reranking Framework for Machine Translation

Beam search is the most widely used decoding method for neural machine t...

0 Yidan Zhang, et al. ∙

research

∙ 12/15/2021

KGR^4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation

Generative commonsense reasoning requires machines to generate sentences...

0 Xin Liu, et al. ∙

research

∙ 11/03/2021

Leveraging Advantages of Interactive and Non-Interactive Models for Vector-Based Cross-Lingual Information Retrieval

Interactive and non-interactive model are the two de-facto standard fram...

0 Linlong Xu, et al. ∙

research

∙ 06/11/2021

Towards User-Driven Neural Machine Translation

A good translation should not only translate the original content semant...

0 Huan Lin, et al. ∙

research

∙ 06/11/2021

Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation

A well-known limitation in pretrain-finetune paradigm lies in its inflex...

0 Xin Liu, et al. ∙

research

∙ 10/26/2020

Exploiting Neural Query Translation into Cross Lingual Information Retrieval

As a crucial role in cross-language information retrieval (CLIR), query ...

0 Liang Yao, et al. ∙

research

∙ 10/26/2020

Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval

Query translation (QT) is a key component in cross-lingual information r...

0 Tianchi Bi, et al. ∙

research

∙ 10/09/2020

Self-Paced Learning for Neural Machine Translation

Recent studies have proven that the training of neural machine translati...

0 Yu Wan, et al. ∙

research

∙ 12/11/2019

Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling

As a special machine translation task, dialect translation has two main ...

0 Yu Wan, et al. ∙

research

∙ 11/22/2019

Neuron Interaction Based Representation Composition for Neural Machine Translation

Recent NLP studies reveal that substantial linguistic information can be...

0 Jian Li, et al. ∙

research

∙ 06/03/2019

Assessing the Ability of Self-Attention Networks to Learn Word Order

Self-attention networks (SAN) have attracted a lot of interests due to t...

0 Baosong Yang, et al. ∙

research

∙ 04/05/2019

Convolutional Self-Attention Networks

Self-attention networks (SANs) have drawn increasing interest due to the...

0 Baosong Yang, et al. ∙

research

∙ 04/05/2019

Information Aggregation for Multi-Head Attention with Routing-by-Agreement

Multi-head attention is appealing for its ability to jointly extract dif...

0 Jian Li, et al. ∙

research

∙ 04/05/2019

Modeling Recurrence for Transformer

Recently, the Transformer model that is based solely on attention mechan...

0 Jie Hao, et al. ∙

research

∙ 02/15/2019

Context-Aware Self-Attention Networks

Self-attention model have shown its flexibility in parallel computation ...

0 Baosong Yang, et al. ∙

research

∙ 10/31/2018

Convolutional Self-Attention Network

Self-attention network (SAN) has recently attracted increasing interest ...

0 Baosong Yang, et al. ∙

research

∙ 10/24/2018

Multi-Head Attention with Disagreement Regularization

Multi-head attention is appealing for the ability to jointly attend to i...

0 Jian Li, et al. ∙

research

∙ 10/24/2018

Modeling Localness for Self-Attention Networks

Self-attention networks have proven to be of profound value for its stre...

0 Baosong Yang, et al. ∙

research

∙ 07/17/2017

Towards Bidirectional Hierarchical Representations for Attention-Based Neural Machine Translation

This paper proposes a hierarchical attentional neural translation model ...

0 Baosong Yang, et al. ∙

Baosong Yang

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