Relation extraction (RE) aims to extract relations from sentences and
do...
Reasoning about time is of fundamental importance. Many facts are
time-d...
In this work, we study multi-source test-time model adaptation from user...
Large language models (LLMs) have made significant progress in natural
l...
A deployed question answering (QA) model can easily fail when the test d...
Grammatical Error Correction (GEC) is the task of automatically detectin...
The DocRED dataset is one of the most popular and widely used benchmarks...
Document-level Relation Extraction (DocRE) is a more challenging task
co...
Identifying breakdowns in ongoing dialogues helps to improve communicati...
In this paper, we propose a system combination method for grammatical er...
Grammatical error correction (GEC) is the task of detecting and correcti...
Distantly supervised datasets for relation extraction mostly focus on
se...
Syntactic dependency parsing is an important task in natural language
pr...
Adapting pre-trained language models (PrLMs) (e.g., BERT) to new domains...
Multi-hop question answering (QA) requires a model to retrieve and integ...
Relation extraction is the task of determining the relation between two
...
A relation tuple consists of two entities and the relation between them,...
Contextualized word representations are able to give different
represent...
Aspect-based sentiment analysis produces a list of aspect terms and thei...
We consider the cross-domain sentiment classification problem, where a
s...
Attention-based long short-term memory (LSTM) networks have proven to be...
There are many machine translation (MT) papers that propose novel approa...
We improve automatic correction of grammatical, orthographic, and colloc...
Neural network models recently proposed for question answering (QA) prim...
In machine translation (MT) that involves translating between two langua...
Reordering poses a major challenge in machine translation (MT) between t...
Grammatical error correction (GEC) is the task of detecting and correcti...
Phrase-based statistical machine translation (SMT) systems have previous...
We propose a novel language-independent approach for improving machine
t...
We have developed a full discourse parser in the Penn Discourse Treebank...