Answering complex reasoning questions from chart images is a challenging problem requiring a combination of natural language understanding, fine-grained perception, and analytical reasoning. Current chart based Question Answering (QA) approaches …
DRIFT is a tool for Diachronic Analysis of Scientific Literature. The application offers user-friendly and customizable utilities for two modes - Training and Analysis.
In this work, we present to the NLP community, and to the wider research community as a whole, an application for the diachronic analysis of research corpora. We open source an easy-to-use tool coined: DRIFT, which allows researchers to track …
My final project submission for the Meta Learning course at BITS Goa (conducted by TCS Research & BITS Goa). The project is based on the Feedback Transformer paper.
Recent work has shown that distributed word representations can encode abstract semantic and syntactic information from child-directed speech. In this paper, we use diachronic distributed word representations to perform temporal modeling and analysis …
While there has been significant progress towards modelling coherence in written discourse, the work in modelling spoken discourse coherence has been quite limited. Unlike the coherence in text, coherence in spoken discourse is also dependent on the …
Propaganda spreads the ideology and beliefs of like-minded people, brainwashing their audiences, and sometimes leading to violence. SemEval 2020 Task-11 aims to design automated systems for news propaganda detection. Task-11 consists of two …
In this paper, we describe an approach for modelling causal reasoning in natural language by detecting counterfactuals in text using multi-head self-attention weights. We use pre-trained transformer models to extract contextual embeddings and …
In this paper, we assess the ability of BERT and its derivative models (RoBERTa, DistilBERT, and ALBERT) for short-edits based humor grading. We test these models for humor grading and classification tasks on the Humicroedit and the FunLines dataset. …
Most of the recommendation and search frameworks in Digital Libraries follow a keyword-based approach to resolve text-based search queries. Keyword-based methods usually fail to capture the semantic aspects of the user’s query and often lead to a …