Philippe Laban
Philippe is Research Scientist at Salesforce Research, New York. Previously he was a Ph.D. Candidate in Computer Science at UC Berkeley, advised by Marti Hearst and John Canny.

Philippe's thesis work revolved around applying the latest NLP technology to the news domain, thinking of what news interfaces could look like in the not so distant future.

Philippe also works in text Summarization and Simplification, building methods for unsupervised text generation: designing methods (such as the Summary Loop and Keep it Simple) that can compete with supervised method, without relying on the existence of a dataset.

An area of excitement for Philippe is thinking about ways to evaluate NLP and NLG systems, particularly thinking of task-oriented human evaluation that put NLP systems in practical settings and measure value added by a system.

Teaching / Mentoring
In Berkeley, I was a TA/GSI for: I enjoyed leading discussions and lectures, creating homeworks from scratch, and interacting with brilliant students.

I have also mentored 10+ undegraduate students in their first steps doing research. If you are an undergraduate student interested in research at the intersection of NLP and News, feel free to contact me.
Peer-Reviewed Publications
Near-Negative Distinction: Giving a Second Life to Human Evaluation Datasets
Philippe Laban, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong
EMNLP 2022 (long paper)
Discord Questions: A Computational Approach To Diversity Analysis in News Coverage
Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Xiang 'Anthony' Chen, Caiming Xiong
EMNLP 2022 (Findings, long paper)
Quiz Design Task: Helping Teachers Create Quizzes with Automated Question Generation
Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Wenhao Liu, Caiming Xiong
NAACL 2022 Special HCI Theme (Findings, short paper)
MixQG: Neural Question Generation with Mixed Answer Types
Lidiya Murakhovs'ka, Chien-Sheng Wu, Philippe Laban, Tong Niu, Wenhao Liu, Caiming Xiong
NAACL 2022 (Findings, short paper)
NewsPod: Automatic and Interactive News Podcasts
Philippe Laban, Elicia Ye, Srujay Korlakunta, John Canny, Marti A. Hearst
Intelligent User Interfaces (IUI), 2022
SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization
Philippe Laban, Tobias Schnabel, Paul N. Bennett, Marti A. Hearst
Transactions of Association for Computational Linguistics (TACL), 2022
Keep It Simple: Unsupervised Simplification of Multi-Paragraph Text
Philippe Laban, Tobias Schnabel, Paul N. Bennett, Marti A. Hearst
Association for Computational Linguistics (ACL), 2021 - Long Paper
Can Transformer Models Measure Coherence In Text? Re-Thinking the Shuffle Test
Philippe Laban, Luke Dai, Lucas Bandarkar, Marti A. Hearst
Association for Computational Linguistics (ACL), 2021 - Short Paper
News Headline Grouping As A Challenging NLU Task
Philippe Laban, Lucas Bandarkar, Marti A. Hearst
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
The Summary Loop: Learning to Write Abstractive Summaries Without Examples
Philippe Laban, Andrew Hsi, John Canny, Marti Hearst
Association for Computational Linguistics (ACL), 2020
What's The Latest? A Question-driven News Chatbot
Philippe Laban, John Canny, Marti Hearst
System Demonstration at ACL, 2020
A framework for a text-centric user interface for navigating complex news stories
Philippe Laban, John Canny, Marti Hearst
Computation + Journalism, 2019
newsLens: building and visualizing long-ranging news stories
Philippe Laban, Marti Hearst
Workshop on Events and Stories in the News, ACL, 2017
Other Work
Abstractive News Summarization via Copying and Transforming
Philippe Laban, John Canny, Marti Hearst
Unpublished, 2019
From Brooklyn Barbers To Movie Stars: Using Introductions To Construct Embeddings Of People
Philippe Laban, John Canny, Marti Hearst
Unpublished, 2018