Text classification can be useful in many real-world scenarios, saving a...
Paraphrase generation has been widely used in various downstream tasks. ...
In real-world scenarios, a text classification task often begins with a ...
In recent years, pretrained language models have revolutionized the NLP
...
In a typical customer service chat scenario, customers contact a support...
We describe the 2021 Key Point Analysis (KPA-2021) shared task on key po...
Sentiment analysis research has shifted over the years from the analysis...
Deep neural models achieve some of the best results for semantic role
la...
Approaching new data can be quite deterrent; you do not know how your
ca...
Recent years have seen important advances in the quality of state-of-the...
An educated and informed consumption of media content has become a chall...
Identifying the quality of free-text arguments has become an important t...
One of the main tasks in argument mining is the retrieval of argumentati...
We explore the task of automatic assessment of argument quality. To that...
In Natural Language Understanding, the task of response generation is us...
With the growing interest in social applications of Natural Language
Pro...
Wikification of large corpora is beneficial for various NLP applications...
Engaging in a live debate requires, among other things, the ability to
e...
With the advancement in argument detection, we suggest to pay more atten...
We introduce a weakly supervised approach for inferring the property of
...