The dominant text generation models compose the output by sequentially
s...
Event extraction aims to recognize pre-defined event triggers and argume...
Recent studies have exhibited remarkable capabilities of pre-trained
mul...
Annotating long-document question answering (long-document QA) pairs is
...
Open-ended text generation with autoregressive language models (LMs) is ...
Prompt learning recently become an effective linguistic tool to motivate...
Pretraining-based (PT-based) automatic evaluation metrics (e.g., BERTSco...
Long document question answering is a challenging task due to its demand...
Recently, to improve the unsupervised image retrieval performance, plent...
Unsupervised question answering is an attractive task due to its indepen...
Twitter contains an abundance of linguistic data from the real world. We...
We consider event extraction in a generative manner with template-based
...
Extracting relational triples from unstructured text is an essential tas...
It is the most important way for researchers to acquire academic progres...
Joint entity and relation extraction is an essential task in natural lan...
Recent research on dialogue response selection has been mainly focused o...
The success of pretrained cross-lingual language models relies on two
es...
The cross-lingual language models are typically pretrained with masked
l...
Chinese Spell Checking (CSC) aims to detect and correct erroneous charac...
Dialogue state tracking (DST) plays a key role in task-oriented dialogue...
Multilingual T5 (mT5) pretrains a sequence-to-sequence model on massive
...
Recently, it has attracted much attention to build reliable named entity...
Since the pre-trained language models are widely used, retrieval-based
o...
We study the coarse-grained selection module in retrieval-based chatbot....
Due to their high retrieval efficiency and low storage cost for cross-mo...
Node classification in structural networks has been proven to be useful ...
Scalability for handling unknown slot values is a important problem in
d...
We focus on the task of reasoning over paragraph effects in situation, w...
Currently, open-domain generative dialog systems have attracted consider...
In this work, we formulate cross-lingual language model pre-training as
...
Recently, open-domain dialogue systems have attracted growing attention....
As a key component in a dialogue system, dialogue state tracking plays a...
Relation ties, defined as the correlation and mutual exclusion between
d...
Open-domain generative dialogue systems have attracted considerable atte...
We consider direct modeling of underlying stock value movement sequences...
Back translation (BT) has been widely used and become one of standard
te...
Despite the multi-turn open-domain dialogue systems have attracted more ...
In this paper, we transform tag recommendation into a word-based text
ge...
Recently, Chinese word segmentation (CWS) methods using neural networks ...
Multilingual pretrained language models (such as multilingual BERT) have...
We introduce a new scientific named entity recognizer called SEPT, which...
In this work we focus on transferring supervision signals of natural lan...
There is an increasing demand for task-oriented dialogue systems which c...
Second language acquisition (SLA) modeling is to predict whether second
...
The task of table structure recognition aims to recognize the internal
s...
Due to their high retrieval efficiency and low storage cost, cross-modal...
We consider open domain event extraction, the task of extracting unconst...
Aspect-based sentiment analysis (ABSA) aims to predict fine-grained
sent...
Distant supervision for relation extraction is an efficient method to re...
Food recommender systems play an important role in assisting users to
id...