Better Call GPT, Comparing Large Language Models Against Lawyers

no code implementations • 24 Jan 2024 • Lauren Martin, Nick Whitehouse, Stephanie Yiu, Lizzie Catterson, Rivindu Perera

This paper presents a groundbreaking comparison between Large Language Models and traditional legal contract reviewers, Junior Lawyers and Legal Process Outsourcers.

Semantic Web Today: From Oil Rigs to Panama Papers

no code implementations • 5 Nov 2017 • Rivindu Perera, Parma Nand, Boris Bacic, Wen-Hsin Yang, Kazuhiro Seki, Radek Burget

This paper discusses eight different industries which currently reap the benefits of Semantic Web.

"How Bullying is this Message?": A Psychometric Thermometer for Bullying

no code implementations • COLING 2016 • Parma Nand, Rivindu Perera, Abhijeet Kasture

Answer Presentation in Question Answering over Linked Data using Typed Dependency Subtree Patterns

no code implementations • WS 2016 • Rivindu Perera, Parma Nand

Dependency Parsing Information Retrieval +3

Selecting Contextual Peripheral Information for Answer Presentation: The Need for Pragmatic Models

no code implementations • PACLIC 2015 • Rivindu Perera, Parma Nand

Question Answering

RealText-asg: A Model to Present Answers Utilizing the Linguistic Structure of Source Question

no code implementations • PACLIC 2015 • Rivindu Perera, Parma Nand

Question Answering Sentence

Generating Lexicalization Patterns for Linked Open Data

no code implementations • WS 2015 • Rivindu Perera, Parma Nand

Open Information Extraction Question Answering +1

A Multi-Strategy Approach for Location Mining in Tweets: AUT NLP Group Entry for ALTA-2014 Shared Task

no code implementations • ALTA 2014 • Parma Nand, Rivindu Perera, Anju Sreekumar, He Lingmin

named-entity-recognition Named Entity Recognition +1

Towards a thematic role based target identification model for question answering

no code implementations • WS 2012 • Rivindu Perera, Udayangi Perera

Question Answering

Education for All: Remote testing system with gesture recognition and recording

no code implementations • 18 Nov 2012 • Rivindu Perera

This paper attempts to introduce an acceptable solution that can be used to address facilitating resources to enhance the learning experience through enabling organic resources such as teachers, instructors and trainers on a remote mode through technology.

Computers and Society Human-Computer Interaction I.2