Large language models (LLMs) demonstrate remarkable ability to comprehen...
k-Nearest neighbor machine translation (kNN-MT) has attracted increasing...
Keyphrase prediction aims to generate phrases (keyphrases) that highly
s...
Fine-grained information on translation errors is helpful for the transl...
Neural machine translation (NMT) is often criticized for failures that h...
Keyphrase generation aims to automatically generate short phrases summar...
In this paper, we present our submission to the sentence-level MQM bench...
In this report, we present our submission to the WMT 2022 Metrics Shared...
Product description generation is a challenging and under-explored task....
Recent literature focuses on utilizing the entity information in the
sen...
We study dangling-aware entity alignment in knowledge graphs (KGs), whic...
Attribute-based Controlled Text Generation (CTG) refers to generating
se...
Attention mechanism has become the dominant module in natural language
p...
In this paper, we present our submission to Shared Metrics Task: RoBLEUR...
Translation quality evaluation plays a crucial role in machine translati...
Beam search is the most widely used decoding method for neural machine
t...
Generative commonsense reasoning requires machines to generate sentences...
Interactive and non-interactive model are the two de-facto standard
fram...
A good translation should not only translate the original content
semant...
A well-known limitation in pretrain-finetune paradigm lies in its
inflex...
As a crucial role in cross-language information retrieval (CLIR), query
...
Query translation (QT) is a key component in cross-lingual information
r...
Recent studies have proven that the training of neural machine translati...
As a special machine translation task, dialect translation has two main
...
Recent NLP studies reveal that substantial linguistic information can be...
Self-attention networks (SAN) have attracted a lot of interests due to t...
Self-attention networks (SANs) have drawn increasing interest due to the...
Multi-head attention is appealing for its ability to jointly extract
dif...
Recently, the Transformer model that is based solely on attention mechan...
Self-attention model have shown its flexibility in parallel computation ...
Self-attention network (SAN) has recently attracted increasing interest ...
Multi-head attention is appealing for the ability to jointly attend to
i...
Self-attention networks have proven to be of profound value for its stre...
This paper proposes a hierarchical attentional neural translation model ...