Franck Dernoncourt

Margin Call: an Accessible Web-based Text Viewer with Generated Paragraph Summaries in the Margin

2019

We present Margin Call, an accessible webbased text viewer that automatically generates short summaries for each paragraph of the text and displays the summaries in the margin of the text next to the corresponding paragraph. …

Understanding Points of Correspondence between Sentences for Abstractive Summarization

2020 · arXiv (Cornell University)

Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang, Fei Liu. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop. 2020.

Open-Domain Question Answering with Pre-Constructed Question Spaces

2020 · arXiv (Cornell University)

Open-domain question answering aims at solving the task of locating the answers to user-generated questions in massive collections of documents. There are two families of solutions available: retriever-readers, and knowledge-graph-based approaches. A retriever-reader usually first …

Scene Graph Modification Based on Natural Language Commands

2020 · arXiv (Cornell University)

Structured representations like graphs and parse trees play a crucial role in many Natural Language Processing systems. In recent years, the advancements in multi-turn user interfaces necessitate the need for controlling and updating these structured …

Multilingual Sentence-Level Semantic Search using Meta-Distillation Learning

2023 · arXiv (Cornell University)

Multilingual semantic search is the task of retrieving relevant contents to a query expressed in different language combinations. This requires a better semantic understanding of the user's intent and its contextual meaning. Multilingual semantic search …

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes

2024 · arXiv (Cornell University)

Large language models (LLMs) have shown remarkable advances in language generation and understanding but are also prone to exhibiting harmful social biases. While recognition of these behaviors has generated an abundance of bias mitigation techniques, …

Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models

2024 · arXiv (Cornell University)

We introduce an approach to identifying speaker names in dialogue transcripts, a crucial task for enhancing content accessibility and searchability in digital media archives. Despite the advancements in speech recognition, the task of text-based speaker …

LongLaMP: A Benchmark for Personalized Long-form Text Generation

2024 · arXiv (Cornell University)

Long-text generation is seemingly ubiquitous in real-world applications of large language models such as generating an email or writing a review. Despite the fundamental importance and prevalence of long-text generation in many practical applications, existing …

A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents

2018

Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, Nazli Goharian. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume …

Scoring Sentence Singletons and Pairs for Abstractive Summarization

2019

When writing a summary, humans tend to choose content from one or two sentences and merge them into a single summary sentence. However, the mechanisms behind the selection of one or multiple source sentences remain …

Bias and Fairness in Large Language Models: A Survey

2024 · Computational Linguistics

Abstract Rapid advancements of large language models (LLMs) have enabled the processing, understanding, and generation of human-like text, with increasing integration into systems that touch our social sphere. Despite this success, these models can learn, …