2.2k citations
- California Institute of TechnologyUS5 papers
- Norwegian University of Science and TechnologyNO5 papers
- IIT@MITUS4 papers
- Leiden UniversityNL4 papers
- SKA ObservatoryGB4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Max Planck Institute for Dynamics and Self-OrganizationDE3 papers
- Max Planck SocietyDE3 papers
- University of California, BerkeleyUS3 papers
- University of California San DiegoUS3 papers
- University of ChicagoUS3 papers
- CEA Paris-SaclayFR2 papers
7 papers · 1 filter
Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales
Bo Pang, Lillian Lee
We address the rating-inference problem, wherein rather than simply decide whether a review is "thumbs up" or "thumbs down", as in previous sentiment analysis work, one must determ…
A Framework for Creating Natural Language User Interfaces for Action-Based Applications
Stephen Chong, Riccardo Pucella
In this paper we present a framework for creating natural language interfaces to action-based applications. Our framework uses a number of reusable application-independent componen…
A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts
Bo Pang, Lillian Lee
Sentiment analysis seeks to identify the viewpoint(s) underlying a text span; an example application is classifying a movie review as "thumbs up" or "thumbs down". To determine thi…
Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment
Regina Barzilay, Lillian Lee
We address the text-to-text generation problem of sentence-level paraphrasing -- a phenomenon distinct from and more difficult than word- or phrase-level paraphrasing. Our approach…
Thumbs up? Sentiment Classification using Machine Learning Techniques
Bo Pang, Lillian Lee, Shivakumar Vaithyanathan
We consider the problem of classifying documents not by topic, but by overall sentiment, e.g., determining whether a review is positive or negative. Using movie reviews as data, we…
Bootstrapping Lexical Choice via Multiple-Sequence Alignment
Regina Barzilay, Lillian Lee
An important component of any generation system is the mapping dictionary, a lexicon of elementary semantic expressions and corresponding natural language realizations. Typically,…