430 citations · 1.5k across the 43 of their papers we have counts for
9 papers · 1 filter
Unsupervised Learning for Lexicon-Based Classification
Jacob Eisenstein
In lexicon-based classification, documents are assigned labels by comparing the number of words that appear from two opposed lexicons, such as positive and negative sentiment. Crea…
Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities
Yi Yang, Ming-Wei Chang, Jacob Eisenstein
Entity linking is the task of identifying mentions of entities in text, and linking them to entries in a knowledge base. This task is especially difficult in microblogs, as there i…
Morphological Priors for Probabilistic Neural Word Embeddings
Parminder Bhatia, Robert Guthrie, Jacob Eisenstein
Word embeddings allow natural language processing systems to share statistical information across related words. These embeddings are typically based on distributional statistics,…
The Social Dynamics of Language Change in Online Networks
Rahul Goel, Sandeep Soni, Naman Goyal +4
Language change is a complex social phenomenon, revealing pathways of communication and sociocultural influence. But, while language change has long been a topic of study in sociol…
Shallow Discourse Parsing Using Distributed Argument Representations and Bayesian Optimization
Akanksha, Jacob Eisenstein
This paper describes the Georgia Tech team's approach to the CoNLL-2016 supplementary evaluation on discourse relation sense classification. We use long short-term memories (LSTM)…
A Latent Variable Recurrent Neural Network for Discourse Relation Language Models
Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein
This paper presents a novel latent variable recurrent neural network architecture for jointly modeling sequences of words and (possibly latent) discourse relations between adjacent…