Document summarization aims to create a precise and coherent summary of ...
Pre-training a language model and then fine-tuning it for downstream tas...
Identifying named entities is, in general, a practical and challenging t...
Vision-and-language tasks are gaining popularity in the research communi...
The exponential rise of social media networks has allowed the production...
Graph Convolutional Networks (GCN) have achieved state-of-art results on...
Computational Paninian Grammar model helps in decoding a natural languag...
Multimodal Machine Translation (MMT) enriches the source text with visua...
Memes are one of the most popular types of content used to spread inform...
Social Media Platforms (SMPs) like Facebook, Twitter, Instagram etc. hav...
Well-defined jokes can be divided neatly into a setup and a punchline. W...
With the instantaneous growth of text information, retrieving domain-ori...
This paper aims to describe the approach we used to detect hope speech i...
While Curriculum Learning (CL) has recently gained traction in Natural
l...
Terminology extraction, also known as term extraction, is a subtask of
i...
In this paper, we present a transfer learning system to perform technica...
Text classification is a fundamental problem in the field of natural lan...
Hateful and Toxic content has become a significant concern in today's wo...
Code-mixing(CM) is a frequently observed phenomenon that uses multiple
l...
Recent rapid technological advancements in online social networks such a...
In a multilingual or sociolingual configuration Intra-sentential Code
Sw...
Recent technological advancements in the Internet and Social media usage...
The phenomenon of mixing the vocabulary and syntax of multiple languages...
There is a growing interest in understanding how humans initiate and hol...
Curriculum Learning (CL) is the idea that learning on a training set
seq...
Subjective bias detection is critical for applications like propaganda
d...
Human dialogue often contains utterances having meanings entirely differ...
Anaphora resolution is a challenging task which has been the interest of...
Newspapers are a popular form of written discourse, read by many people,...
Contemporary datasets on tobacco consumption focus on one of two topics,...
Hindi question answering systems suffer from a lack of data. To address ...
Estimating the intensity of emotion has gained significance as modern te...
This paper illustrates the interface of the tool we developed for crowd
...
The presented work aims at generating a systematically annotated corpus ...
In this paper, we discuss the enrichment of a manually developed resourc...
In order for our computer systems to be more human-like, with a higher
e...
Sentiment analysis, also called opinion mining, is the field of study th...
Video games have become an integral part of most people's lives in recen...
Contextual knowledge is the most important element in understanding lang...
Natural Language Generation systems typically have two parts - strategic...
In this study, the problem of shallow parsing of Hindi-English code-mixe...