Code switching is a prevalent phenomenon in the multilingual community and social media
interaction. In the past ten years, we have witnessed an explosion of code switched data in …

Code-switching, the alternation of languages within a conversation or utterance, is a
common communicative phenomenon that occurs in multilingual communities across the …

Social media users have the proclivity to write majority of the data for under resourced
languages in code-mixed format. Code-mixing is defined as mixing of two or more …

Text generation is a highly active area of research in the computational linguistic community.
The evaluation of the generated text is a challenging task and multiple theories and metrics …

Pretrained models are a mainstay in modern NLP applications. Pretraining requires access
to large volumes of unlabeled text. While monolingual text is readily available for many of …

Code-switching is a speech phenomenon occurring when a speaker switches language
during a conversation. Despite the spontaneous nature of code-switching in conversational …

Latest efforts on cross-lingual relation extraction (XRE) aggressively leverage the language-
consistent structural features from the universal dependency (UD) resource, while they may …

Inculcating knowledge in the dialogue agents is an important step towards creating any
agent more human-like. Hence, the use of knowledge while conversing is crucial for building …

In natural language processing (NLP), code-mixing (CM) is a challenging task, especially
when the mixed languages include dialects. In Southeast Asian countries such as …

Building dialogue generation systems in a zero-shot scenario remains a huge challenge,
since the typical zero-shot approaches in dialogue generation rely heavily on large-scale …