Search Results for author: Anatole Gershman

Found 15 papers, 3 papers with code

CHARD: Clinical Health-Aware Reasoning Across Dimensions for Text Generation Models

1 code implementation9 Oct 2022 Steven Y. Feng, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, Eduard Hovy

We motivate and introduce CHARD: Clinical Health-Aware Reasoning across Dimensions, to investigate the capability of text generation models to act as implicit clinical knowledge bases and generate free-flow textual explanations about various health-related conditions across several dimensions.

Clinical Knowledge Data Augmentation +1

Template Filling for Controllable Commonsense Reasoning

no code implementations31 Oct 2021 Dheeraj Rajagopal, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, Andrew Fano, Eduard Hovy

To enable better controllability, we propose to study the commonsense reasoning as a template filling task (TemplateCSR) -- where the language models fills reasoning templates with the given constraints as control factors.


Learning Lexical Entries for Robotic Commands using Crowdsourcing

no code implementations8 Sep 2016 Junjie Hu, Jean Oh, Anatole Gershman

Robotic commands in natural language usually contain various spatial descriptions that are semantically similar but syntactically different.

Machine Translation Translation

Privacy-Preserving Multi-Document Summarization

no code implementations6 Aug 2015 Luís Marujo, José Portêlo, Wang Ling, David Martins de Matos, João P. Neto, Anatole Gershman, Jaime Carbonell, Isabel Trancoso, Bhiksha Raj

State-of-the-art extractive multi-document summarization systems are usually designed without any concern about privacy issues, meaning that all documents are open to third parties.

Document Summarization Multi-Document Summarization +1

Resources for the Detection of Conventionalized Metaphors in Four Languages

no code implementations LREC 2014 Lori Levin, Teruko Mitamura, Brian MacWhinney, Davida Fromm, Jaime Carbonell, Weston Feely, Robert Frederking, Anatole Gershman, Carlos Ramirez

The extraction rules operate on the output of a dependency parser and identify the grammatical configurations (such as a verb with a prepositional phrase complement) that are likely to contain conventional metaphors.

Ensemble Detection of Single & Multiple Events at Sentence-Level

no code implementations24 Mar 2014 Luís Marujo, Anatole Gershman, Jaime Carbonell, João P. Neto, David Martins de Matos

Event classification at sentence level is an important Information Extraction task with applications in several NLP, IR, and personalization systems.

Classification General Classification +2

Co-Multistage of Multiple Classifiers for Imbalanced Multiclass Learning

no code implementations23 Dec 2013 Luis Marujo, Anatole Gershman, Jaime Carbonell, David Martins de Matos, João P. Neto

In this work, we propose two stochastic architectural models (CMC and CMC-M) with two layers of classifiers applicable to datasets with one and multiple skewed classes.

Event Detection General Classification +2

Recognition of Named-Event Passages in News Articles

no code implementations COLING 2012 Luis Marujo, Wang Ling, Anatole Gershman, Jaime Carbonell, João P. Neto, David Matos

We extend the concept of Named Entities to Named Events - commonly occurring events such as battles and earthquakes.

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