A proposed framework for blockchain-based e-notary services, so civil law notaries in Indonesia can create and store deeds electronically and securely.

Publications & research outputs.
Papers, books and datasets by Lexin members. Filter by type, research layer or member.

Highlights
Tests whether language models understand numbers by turning numeracy problems into a natural language inference task.
A survey of explainable clustering methods, their challenges, and future opportunities.
Lexin’s entry in the COLIEE 2025 competition: using LLMs to find relevant statutes and decide whether a legal statement holds.
Builds a knowledge graph of Indonesian regulations’ metadata and content, so relationships between legal documents can be searched and answered.
Studies what keeps users of mobile mutual-fund apps using them, based on evidence from Indonesia.
Studies why people keep using pirated movie services and what would make them switch to a legitimate paid subscription.
Studies which qualities of a mobile travel app make people keep using it and stay loyal.
Predicts which paragraphs, articles and laws apply to a Tax Court case directly from the ruling text.
Proposes ways to measure how well a whole search session, not just a single query, serves the user.
An article on efforts to record and preserve cultural heritage in East Asia and Oceania.
Studies how small and medium businesses in Indonesia use e-business and what it does for their performance.
A benchmark dataset for aligning ontologies, built from real-world geoscience ontologies.
A benchmark and resources for evaluating how well models understand Indonesian.
A book chapter on using logic programming to model moral reasoning in machines.
A tool called ProWD that measures how complete the data on a topic is in Wikidata.
A dataset and early study for detecting abusive and offensive language on Indonesian social media.
A model of the factors that make hospital staff accept and use a hospital information system.
A natural language processing toolkit for Indonesian, with a use case of classifying complaint tweets.
A journal paper on modelling morality and ethical decisions with logic programming.
A book on logic-programming techniques for building machines that can reason morally.
Analyzes Twitter users’ opinions of online transportation service providers.
A way to build a corpus of Indonesian tweets automatically for training sentiment analysis.
A part-of-speech tagger for Indonesian built on a Hidden Markov Model.
Adds linguistic and world knowledge to an Indonesian question answering system so it answers more accurately.
