Search Results for author: Maria Leonor Pacheco

Found 16 papers, 6 papers with code

Framing in the Presence of Supporting Data: A Case Study in U.S. Economic News

no code implementations22 Feb 2024 Alexandria Leto, Elliot Pickens, Coen D. Needell, David Rothschild, Maria Leonor Pacheco

Then, for every numerical quantity reported in the article, we learn to identify whether it corresponds to an economic indicator and whether it is being reported in a positive or negative way.

On the Potential and Limitations of Few-Shot In-Context Learning to Generate Metamorphic Specifications for Tax Preparation Software

no code implementations20 Nov 2023 Dananjay Srinivas, Rohan Das, Saeid Tizpaz-Niari, Ashutosh Trivedi, Maria Leonor Pacheco

Due to the ever-increasing complexity of income tax laws in the United States, the number of US taxpayers filing their taxes using tax preparation software (henceforth, tax software) continues to increase.

In-Context Learning

Identifying Morality Frames in Political Tweets using Relational Learning

1 code implementation EMNLP 2021 Shamik Roy, Maria Leonor Pacheco, Dan Goldwasser

Extracting moral sentiment from text is a vital component in understanding public opinion, social movements, and policy decisions.

Relational Reasoning

Modeling Human Mental States with an Entity-based Narrative Graph

1 code implementation NAACL 2021 I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser

Understanding narrative text requires capturing characters' motivations, goals, and mental states.

Randomized Deep Structured Prediction for Discourse-Level Processing

no code implementations EACL 2021 Manuel Widmoser, Maria Leonor Pacheco, Jean Honorio, Dan Goldwasser

In this paper, we explore the use of randomized inference to alleviate this concern and show that we can efficiently leverage deep structured prediction and expressive neural encoders for a set of tasks involving complicated argumentative structures.

Sentence Structured Prediction

Weakly-Supervised Modeling of Contextualized Event Embedding for Discourse Relations

1 code implementation Findings of the Association for Computational Linguistics 2020 I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser

Representing, and reasoning over, long narratives requires models that can deal with complex event structures connected through multiple relationship types.

Modeling Content and Context with Deep Relational Learning

1 code implementation20 Oct 2020 Maria Leonor Pacheco, Dan Goldwasser

Building models for realistic natural language tasks requires dealing with long texts and accounting for complicated structural dependencies.

Relational Reasoning

Leveraging Textual Specifications for Grammar-based Fuzzing of Network Protocols

no code implementations10 Oct 2018 Samuel Jero, Maria Leonor Pacheco, Dan Goldwasser, Cristina Nita-Rotaru

Grammar-based fuzzing is a technique used to find software vulnerabilities by injecting well-formed inputs generated following rules that encode application semantics.

Cannot find the paper you are looking for? You can Submit a new open access paper.