Validating Literary Theories Using Automatic Social Network Extraction

no code implementations • WS 2015 • Prashant Jayannavar, Apoorv Agarwal, Melody Ju, Owen Rambow

Key Female Characters in Film Have More to Talk About Besides Men: Automating the Bechdel Test

no code implementations • HLT 2015 • Apoorv Agarwal, Sriramkumar Balasubramanian, Jiehan Zheng, Shruti Kamath, Shirin Ann Dey

Cultural Vocal Bursts Intensity Prediction

Notes on using Determinantal Point Processes for Clustering with Applications to Text Clustering

no code implementations • 26 Oct 2014 • Apoorv Agarwal, Anna Choromanska, Krzysztof Choromanski

In this paper, we compare three initialization schemes for the KMEANS clustering algorithm: 1) random initialization (KMEANSRAND), 2) KMEANS++, and 3) KMEANSD++.

Clustering Point Processes +1

An Error Analysis Tool for Natural Language Processing and Applied Machine Learning

no code implementations • COLING 2014 • Apoorv Agarwal, Ankit Agarwal, Deepak Mittal

BIG-bench Machine Learning Feature Engineering

Columbia NLP: Sentiment Detection of Sentences and Subjective Phrases in Social Media

no code implementations • SEMEVAL 2014 • Sara Rosenthal, Kathy Mckeown, Apoorv Agarwal

Sentiment Analysis

Using Frame Semantics in Natural Language Processing

no code implementations • WS 2014 • Apoorv Agarwal, Daniel Bauer, Owen Rambow

Frame Semantic Tree Kernels for Social Network Extraction from Text

no code implementations • EACL 2014 • Apoorv Agarwal, Sriramkumar Balasubramanian, Anup Kotalwar, Jiehan Zheng, Owen Rambow

Parsing Screenplays for Extracting Social Networks from Movies

no code implementations • WS 2014 • Apoorv Agarwal, Sriramkumar Balasubramanian, Jiehan Zheng, Sarthak Dash

Automatic Extraction of Social Networks from Literary Text: A Case Study on Alice in Wonderland

no code implementations • IJCNLP 2013 • Apoorv Agarwal, Anup Kotalwar, Owen Rambow

SINNET: Social Interaction Network Extractor from Text

no code implementations • IJCNLP 2013 • Apoorv Agarwal, Anup Kotalwar, Jiehan Zheng, Owen Rambow

Artificial IntelliDance: Teaching Machine Learning through a Choreography

no code implementations • WS 2013 • Apoorv Agarwal, Caitlin Trainor

BIG-bench Machine Learning

Teaching the Basics of NLP and ML in an Introductory Course to Information Science

no code implementations • WS 2013 • Apoorv Agarwal

Document Classification Sentiment Analysis

End-to-End Sentiment Analysis of Twitter Data

no code implementations • WS 2012 • Apoorv Agarwal, Jasneet Sabharwal

Sentiment Analysis

Multi-Dimensional Feature Merger for Question Answering

no code implementations • COLING 2012 • Apoorv Agarwal, J. William Murdock, Jennifer Chu-Carroll, Adam Lally, Aditya Kalyanpur

Question Answering

A Comprehensive Gold Standard for the Enron Organizational Hierarchy

no code implementations • ACL 2012 • Apoorv Agarwal, Adinoyi Omuya, Aaron Harnly, Owen Rambow

Social Network Analysis of Alice in Wonderland

no code implementations • WS 2012 • Apoorv Agarwal, Augusto Corvalan, Jacob Jensen, Owen Rambow