14 citations · 32 across the 22 of their papers we have counts for
14 papers · 1 filter
What to Read in a Contract? Party-Specific Summarization of Legal Obligations, Entitlements, and Prohibitions
Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan +1
Reviewing and comprehending key obligations, entitlements, and prohibitions in legal contracts can be a tedious task due to their length and domain-specificity. Furthermore, the ke…
Agent-Specific Deontic Modality Detection in Legal Language
Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan +1
Legal documents are typically long and written in legalese, which makes it particularly difficult for laypeople to understand their rights and duties. While natural language unders…
Entailment Relation Aware Paraphrase Generation
Abhilasha Sancheti, Balaji Vasan Srinivasan, Rachel Rudinger
We introduce a new task of entailment relation aware paraphrase generation which aims at generating a paraphrase conforming to a given entailment relation (e.g. equivalent, forward…
CLAUSEREC: A Clause Recommendation Framework for AI-aided Contract Authoring
Vinay Aggarwal, Aparna Garimella, Balaji Vasan Srinivasan +2
Contracts are a common type of legal document that frequent in several day-to-day business workflows. However, there has been very limited NLP research in processing such documents…
IGA : An Intent-Guided Authoring Assistant
Simeng Sun, Wenlong Zhao, Varun Manjunatha +5
While large-scale pretrained language models have significantly improved writing assistance functionalities such as autocomplete, more complex and controllable writing assistants h…
DRAG: Director-Generator Language Modelling Framework for Non-Parallel Author Stylized Rewriting
Hrituraj Singh, Gaurav Verma, Aparna Garimella +1
Author stylized rewriting is the task of rewriting an input text in a particular author's style. Recent works in this area have leveraged Transformer-based language models in a den…
Incorporating Stylistic Lexical Preferences in Generative Language Models
Hrituraj Singh, Gaurav Verma, Balaji Vasan Srinivasan
While recent advances in language modeling have resulted in powerful generation models, their generation style remains implicitly dependent on the training data and can not emulate…
Multi-Style Transfer with Discriminative Feedback on Disjoint Corpus
Navita Goyal, Balaji Vasan Srinivasan, Anandhavelu Natarajan +1
Style transfer has been widely explored in natural language generation with non-parallel corpus by directly or indirectly extracting a notion of style from source and target domain…
Reinforced Rewards Framework for Text Style Transfer
Abhilasha Sancheti, Kundan Krishna, Balaji Vasan Srinivasan +1
Style transfer deals with the algorithms to transfer the stylistic properties of a piece of text into that of another while ensuring that the core content is preserved. There has b…
Towards Transparent and Explainable Attention Models
Akash Kumar Mohankumar, Preksha Nema, Sharan Narasimhan +3
Recent studies on interpretability of attention distributions have led to notions of faithful and plausible explanations for a model's predictions. Attention distributions can be c…
Generating summaries tailored to target characteristics
Kushal Chawla, Hrituraj Singh, Arijit Pramanik +2
Recently, research efforts have gained pace to cater to varied user preferences while generating text summaries. While there have been attempts to incorporate a few handpicked char…
A Lexical, Syntactic, and Semantic Perspective for Understanding Style in Text
Gaurav Verma, Balaji Vasan Srinivasan
With a growing interest in modeling inherent subjectivity in natural language, we present a linguistically-motivated process to understand and analyze the writing style of individu…
Adapting Language Models for Non-Parallel Author-Stylized Rewriting
Bakhtiyar Syed, Gaurav Verma, Balaji Vasan Srinivasan +2
Given the recent progress in language modeling using Transformer-based neural models and an active interest in generating stylized text, we present an approach to leverage the gene…
Let's Ask Again: Refine Network for Automatic Question Generation
Preksha Nema, Akash Kumar Mohankumar, Mitesh M. Khapra +2
In this work, we focus on the task of Automatic Question Generation (AQG) where given a passage and an answer the task is to generate the corresponding question. It is desired that…