48 citations · 206 across the 39 of their papers we have counts for
37 papers · 1 filter
ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts
Rajdeep Mukherjee, Abhinav Bohra, Akash Banerjee +8
Despite tremendous progress in automatic summarization, state-of-the-art methods are predominantly trained to excel in summarizing short newswire articles, or documents with strong…
TransLIST: A Transformer-Based Linguistically Informed Sanskrit Tokenizer
Jivnesh Sandhan, Rathin Singha, Narein Rao +3
Sanskrit Word Segmentation (SWS) is essential in making digitized texts available and in deploying downstream tasks. It is, however, non-trivial because of the sandhi phenomenon th…
Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation
Abhay Shukla, Paheli Bhattacharya, Soham Poddar +4
Summarization of legal case judgement documents is a challenging problem in Legal NLP. However, not much analyses exist on how different families of summarization models (e.g., ext…
A Novel Multi-Task Learning Approach for Context-Sensitive Compound Type Identification in Sanskrit
Jivnesh Sandhan, Ashish Gupta, Hrishikesh Terdalkar +4
The phenomenon of compounding is ubiquitous in Sanskrit. It serves for achieving brevity in expressing thoughts, while simultaneously enriching the lexical and structural formation…
A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection
Ankan Mullick, Sukannya Purkayastha, Pawan Goyal +1
Systems like Voice-command based conversational agents are characterized by a pre-defined set of skills or intents to perform user specified tasks. In the course of time, newer int…
A Study on Prompt-based Few-Shot Learning Methods for Belief State Tracking in Task-oriented Dialog Systems
Debjoy Saha, Bishal Santra, Pawan Goyal
We tackle the Dialogue Belief State Tracking(DST) problem of task-oriented conversational systems. Recent approaches to this problem leveraging Transformer-based models have yielde…