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Marco A. Valenzuela-Escárcega

2 accepted papers

2022

A Human-machine Interface for Few-shot Rule Synthesis for Information Extraction

NAACL 2022system demonstrations

We propose a system that assists a user in constructing transparent information extraction models, consisting of patterns (or rules) written in a declarative language, through program synthesis. Users of our system can specify their requirements through the use of examples,which are collected with a…

2020

An Unsupervised Method for Learning Representations of Multi-word Expressions for Semantic Classification

COLING 2020main

This paper explores an unsupervised approach to learning a compositional representation function for multi-word expressions (MWEs), and evaluates it on the Tratz dataset, which associates two-word expressions with the semantic relation between the compound constituents (e.g. the label employer is as…