1 citations · 1 across the 5 of their papers we have counts for
6 papers
Weakly Supervised Headline Dependency Parsing
Adrian Benton, Tianze Shi, Ozan İrsoy +1
English news headlines form a register with unique syntactic properties that have been documented in linguistics literature since the 1930s. However, headlines have received surpri…
Cross-Register Projection for Headline Part of Speech Tagging
Adrian Benton, Hanyang Li, Igor Malioutov
Part of speech (POS) tagging is a familiar NLP task. State of the art taggers routinely achieve token-level accuracies of over 97% on news body text, evidence that the problem is w…
Diversity-Aware Batch Active Learning for Dependency Parsing
Tianze Shi, Adrian Benton, Igor Malioutov +1
While the predictive performance of modern statistical dependency parsers relies heavily on the availability of expensive expert-annotated treebank data, not all annotations contri…
Learning Syntax from Naturally-Occurring Bracketings
Tianze Shi, Ozan İrsoy, Igor Malioutov +1
Naturally-occurring bracketings, such as answer fragments to natural language questions and hyperlinks on webpages, can reflect human syntactic intuition regarding phrasal boundari…
Semantic Role Labeling as Syntactic Dependency Parsing
Tianze Shi, Igor Malioutov, Ozan İrsoy
We reduce the task of (span-based) PropBank-style semantic role labeling (SRL) to syntactic dependency parsing. Our approach is motivated by our empirical analysis that shows three…
NSTM: Real-Time Query-Driven News Overview Composition at Bloomberg
Joshua Bambrick, Minjie Xu, Andy Almonte +4
Millions of news articles from hundreds of thousands of sources around the globe appear in news aggregators every day. Consuming such a volume of news presents an almost insurmount…