Millions of users are active on social media. To allow users to better
s...
Text structuralization is one of the important fields of natural languag...
Ancient Chinese word segmentation (WSG) and part-of-speech tagging (POS)...
Dialogue structure discovery is essential in dialogue generation.
Well-s...
The multimedia communications with texts and images are popular on socia...
Natural language understanding (NLU) models often rely on dataset biases...
Deep learning is becoming increasingly popular in real-life applications...
The task of Chinese Spelling Check (CSC) is aiming to detect and correct...
As the pre-trained language models (PLMs) continue to grow, so do the
ha...
In this technical report, we introduce Effidit (Efficient and Intelligen...
Maintaining a consistent persona is essential for building a human-like
...
Open-ended text generation tasks, such as dialogue generation and story
...
Parameter-efficient tuning aims to distill knowledge for downstream task...
Whole word masking (WWM), which masks all subwords corresponding to a wo...
Exemplar-Guided Paraphrase Generation (EGPG) aims to generate a target
s...
Recall the classical text generation works, the generation framework can...
Dialogue summarization aims to generate a summary that indicates the key...
Despite pre-trained language models have proven useful for learning
high...
In recent years, reference-based and supervised summarization evaluation...
We investigate the problem of Chinese Grammatical Error Correction (CGEC...
Non-autoregressive generation (NAG) has recently attracted great attenti...
Automatic comment generation is a special and challenging task to verify...
In e-commerce, opinion tags refer to a ranked list of tags provided by t...
The multiplayer online battle arena (MOBA) games have become increasingl...
Story generation is a challenging task, which demands to maintain consis...
Sentence function is an important linguistic feature indicating the
comm...
Enabling the machines with empathetic abilities to provide context-consi...
Most of the existing works for dialogue generation are data-driven model...
Keyphrase generation (KG) aims to summarize the main ideas of a document...
Neural text generation has made tremendous progress in various tasks. On...
Attention mechanism plays a dominant role in the sequence generation mod...
We present an empirical investigation of pre-trained Transformer-based
a...
Unstructured Persona-oriented Dialogue Systems (UPDS) has been demonstra...
Despite the effectiveness of sequence-to-sequence framework on the task ...
Visual storytelling aims to generate a narrative paragraph from a sequen...
Text style transfer task requires the model to transfer a sentence of on...
For large-scale knowledge graphs (KGs), recent research has been focusin...
Under special circumstances, summaries should conform to a particular st...
We study the problem of generating interconnected questions in
question-...
In this paper, we present a novel integrated approach for keyphrase
gene...
Tips, as a compacted and concise form of reviews, were paid less attenti...
In e-commerce portals, generating answers for product-related questions ...
In neural abstractive summarization field, conventional sequence-to-sequ...
Target-based sentiment analysis involves opinion target extraction and t...
We investigate the task of distractor generation for multiple choice rea...
Aspect Term Extraction (ATE), a key sub-task in Aspect-Based Sentiment
A...
In the task of quantifiable sequence editing (QuaSE), a model needs to e...
We present a training framework for neural abstractive summarization bas...
We investigate the problem of reader-aware multi-document summarization
...
We propose a new framework for abstractive text summarization based on a...