1.4k citations · 1.9k across the 17 of their papers we have counts for
6 papers · 1 filter
Bayesian Query-Focused Summarization
Hal Daumé
We present BayeSum (for ``Bayesian summarization''), a model for sentence extraction in query-focused summarization. BayeSum leverages the common case in which multiple documents a…
A Large-Scale Exploration of Effective Global Features for a Joint Entity Detection and Tracking Model
Hal Daumé, Daniel Marcu
Entity detection and tracking (EDT) is the task of identifying textual mentions of real-world entities in documents, extending the named entity detection and coreference resolution…
A Noisy-Channel Model for Document Compression
Hal Daumé, Daniel Marcu
We present a document compression system that uses a hierarchical noisy-channel model of text production. Our compression system first automatically derives the syntactic structure…
Induction of Word and Phrase Alignments for Automatic Document Summarization
Hal Daumé, Daniel Marcu
Current research in automatic single document summarization is dominated by two effective, yet naive approaches: summarization by sentence extraction, and headline generation via b…
A Bayesian Model for Discovering Typological Implications
Hal Daumé, Lyle Campbell
A standard form of analysis for linguistic typology is the universal implication. These implications state facts about the range of extant languages, such as ``if objects come afte…
Non-Parametric Bayesian Areal Linguistics
Hal Daumé
We describe a statistical model over linguistic areas and phylogeny. Our model recovers known areas and identifies a plausible hierarchy of areal features. The use of areas improve…