[CL+NLP Lunch] CL+NLP Lunch May 20 @ noon

[Dani Yogatama]

*CL+NLP Lunch *(http://www.cs.cmu.edu/~nlp-lunch/)
*Speaker*: André Martins, Priberam Labs
*Date*: Monday, May 20, 2013
*Time*: 12:00 noon
*Venue*: GHC 4405

*Title*:
Fast and Robust Compressive Summarization with Dual Decomposition and
Multi-Task Learning

*Abstract*:
We present a dual decomposition framework for multi-document summarization,
using a model that jointly extracts and compresses sentences. Compared with
previous work based on integer linear programming, our approach does not
require external solvers, is significantly faster, and is modular in the
three qualities a summary should have: conciseness, informativeness, and
grammaticality. In addition, we propose a multi-task learning framework to
take advantage of existing data for extractive summarization and sentence
compression. Experiments in the TAC-2008 dataset yield the highest
published ROUGE scores to date, with runtimes that rival those of
extractive summarizers. This work was done jointly with Miguel Almeida at
Priberam Labs, and will appear soon at ACL 2013.

*Biography*:
André Martins is a research scientist at Priberam Labs, in Lisbon,
Portugal. He received his dual-degree PhD in Language Technologies in 2012
from Carnegie Mellon University and Instituto Superior Técnico. His PhD
dissertation was awarded Honorable Mention in CMU's SCS Dissertation Award
competition. Martins' research interests include natural language
processing, machine learning, structured prediction, sparse modeling, and
optimization. He received a best paper award at the ACL 2009 conference and
the Portuguese IBM 2011 Scientific Prize.
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