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A lot of claims are made in social media posts, which may contain misinformation or fake news. Hence, it is crucial to identify claims as a first step towards claim verification. Given the huge number of social media posts, the task of identifying ...

In this study, we jointly investigate the connectivity probability and the number of required resource blocks (RBs) for load reduction during handoff (HO) decision for hybrid vehicle-to-everything (V2X) communication. Frequent HOs is a major issue in ...

E-commerce marketplaces provide business opportunities to millions of sellers worldwide. Some of these sellers have special relationships with the marketplace by virtue of using their subsidiary services (e.g., fulfillment and/or shipping services ...

While automatic summarization techniques have made significant advancements, their primary focus has been on summarizing short news articles or documents that have clear structural patterns like scientific articles or government reports. There has not ...

Legal Statute Identification (LSI) involves identifying the relevant statutes (articles of law) given the facts (evidence) of a legal case. There are several key challenges in LSI, such as (i)~usage of label (statute) semantics which can be complicated ...

While social media platforms play an important role in our daily lives in obtaining the latest news and trends from across the globe, they are known to be prone to widespread proliferation of harmful information in different forms leading to ...

Power transmission from electric vehicles (EVs) occurs through vehicle to grid (V2G), grid to vehicle (G2V) and vehicle to home (V2H). However, a new perspective of considering EV as power transport device to underpriviledged households is considered in ...

The COVID-19 pandemic showed the importance of vaccination at a large scale. However, quite often people expressed different concerns they had towards vaccines which made them hesitant to take them. Some people were concerned about the potential side-...

We introduce ‘Helping Hands’, an end-to-end information system utilizing Online Social Media (OSM) to aid disaster relief operations. More specifically, ‘Helping Hands’ is an AI-based system for real-time extraction of crucial information from OSM posts ...

State-of-the-art offline Optical Character Recognition (OCR) frameworks perform poorly on semi-structured handwritten domain-specific documents due to their inability to localize and label form fields with domain-specific semantics. Existing ...

Summarization of textual content has many applications, ranging from summarizing long documents to recent efforts towards summarizing user generated text (e.g., tweets, Facebook or Reddit posts). Traditionally, the focus of summarization has been to ...

NLP in the legal domain has seen increasing success with the emergence of Transformer-based Pre-trained Language Models (PLMs) pre-trained on legal text. PLMs trained over European and US legal text are available publicly; however, legal text from other ...

Artificial Intelligence (AI), Machine Learning (ML), Information Retrieval (IR) and Natural Language Processing (NLP) are transforming the way legal professionals and law firms approach their work. The significant potential for the application of ...

Summarization of legal case judgement documents is a practical and challenging problem, for which many summarization algorithms of different varieties have been tried. In this work, rather than developing yet another summarization algorithm, we ...

This report describes the 2^nd edition of the Symposium on Artificial Intelligence and Law (SAIL) organized as a virtual event during June 6--9, 2022. The aim of SAIL is to bring together experts from the industry and the academia to discuss the scope ...

Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) are transforming the way legal professionals and law firms approach their work. The significant potential for the application of AI to Law, for instance, by ...

Microblogging sites such as Twitter play an important role in dealing with various mass emergencies including natural disasters and pandemics. Over the last several years, the track on Information Retrieval from Microblogs during Disasters (IRMiDis), ...

Estimating the similarity between two legal case documents is an important and challenging problem, having various downstream applications such as prior-case retrieval and citation recommendation. There are two broad approaches for the ...

• Estimating the similarity between legal case documents is a practically useful task.

In a Common Law system, legal practitioners need frequent access to prior case documents that discuss relevant legal issues. Case documents are generally very lengthy, containing complex sentence structures, and reading them fully is a strenuous ...

Convincing people to get vaccinated against COVID-19 is a key societal challenge in the present times. As a first step towards this goal, many prior works have relied on social media analysis to understand the specific concerns that people have towards ...