[Elsnet-list] Call for Participation: Language Generation and Summarisation Workshop (UCNLG+Sum) at ACL-IJCNLP 2009

Sebastian Varges sebastian.varges at gmail.com
Fri Jun 19 11:21:29 CEST 2009


ACL-IJCNLP 2009 Workshop: Language Generation and Summarisation (UCNLG+Sum),
Singapore, 6 August 2009.

*** Early registration through June 30, 2009 ***
*** Workshop programme included below ***




There are many branches of NLP research which involve the generation
of language (summarisation, MT, human-computer dialogue, application
front-ends, data-to-text generation, document authoring, etc.).
However, it is not always easy to identify common ground among the
generation components of these application areas, which has sometimes
made it difficult for generic research in `Natural Language
Generation' (NLG) to engage with them effectively.  Recent advances in
corpus-based approaches across many of these areas, and in particular
in NLG itself, offer a new perspective on this problem and the
opportunity to explore synergies and differences from the common
grounding of corpus data.

This workshop is the third in an occasional series seeking to exploit
this opportunity by providing a forum for discussing NLG and its links
with these closely related fields from a corpus-oriented perspective.
These workshops have the general aims:

  1. to provide a forum for reporting and discussing corpus-oriented
     methods for generating language;
  2. to foster cross-fertilisation between NLG and other fields of
     research involving generation of language; and
  3. to promote the sharing of data and methods in all research that
     involves the generation of language.

Each of these workshops has a special theme: at the first workshop (at
Corpus Linguistics in 2005) it was the use of corpora in NLG, at the
second (at MT Summit XI in 2007) it was Language Generation and Machine
Translation.  The special theme of the 2009 workshop is Language
Generation and Summarisation.

Aims of this Workshop

There are two basic approaches to text summarisation: abstractive,
where texts are analysed, and a more condensed version is regenerated,
and extractive, where key passages of the input texts themselves are
identified and then `glued together' to form a shorter text.
Extractive summarisation is less dependent on analysis and
regeneration techniques, but tends to produce summaries that are not
very coherent and whose referring expressions are not very clear (so
for example, extractive systems often score low on the DUC human
assessment criteria of Coherence and Referential Clarity).

The relevance of NLG techniques to abstractive summarisation is clear,
but recently there has also been increasing interest in regeneration
as a post-process for extractive summaries.  Work by Otterbacher et
al., Steinberger et al. and Nenkova et al., for example, shows how
regeneration of (parts of) extractive summaries may help to increase
their coherence, referential clarity or fluency.  At the same time, NLG
researchers are investigating techniques that could be used to improve
extractive summaries by regenerating them (in particular in the
subfield of referring expression generation, see for example the GREC
Shared Task papers at INLG 2008).

The core aim of this workshop is to provide a forum for NLG and
summarisation researchers to examine the similarities and differences
between their current approaches to generating language, and to explore
the potential for cross-fertilisation.

Invited Speaker

Kathy McKeown, Columbia University, USA
Title: Query-focused Summarization Using Text-to-Text Generation: When
Information Comes from Multilingual Sources

Panel on Sharing Data and Tools and other Synergies between
Summarisation and NLG

Panelists: Ed Hovy, ISI; Kathy McKeown, Columbia; Donia Scott, Open
University; others t.b.c.

Complete UCNLG+Sum Workshop Programme

08:30-10:00 Morning Session 1: Sentence Compression and Revision
 08:30-09:00 Joao Cordeiro, Gael Dias and Pavel Brazdil:
             Unsupervised Induction of Sentence Compression Rules
 09:00-09:30 Wei Xu and Ralph Grishman:
             A Parse-and-Trim Approach with Information Significance for
             Chinese Sentence Compression
 09:30-10:00 Hideki Tanaka, Akinori Kinoshita, Takeshi Kobayakawa, Tadashi
             Kumano and Naoto Katoh:
             Syntax-Driven Sentence Revision for Broadcast News

10:00-10:30 Coffee Break

10:30-12:30 Morning Session 2: Invited Talk / Content Selection
 10:30-11:30 INVITED TALK - Kathy McKeown: Query-focused Summarization
             Using Text-to-Text Generation: When Information Comes from
             Multilingual Sources
 11:30-12:00 Horacio Saggion:
             A Classification Algorithm for Predicting the Structure of
 12:00-12:30 Jackie Chi Kit Cheung, Giuseppe Carenini and Raymond Ng:
             Optimization-based Content Selection for Opinion

12:30-13:50 LUNCH

13:50-15:30 Afternoon Session 1: Evaluation
 13:50-15:00 GREC Shared Task Evaluation results session
 15:00-15:30 Karolina Owkzarzak and Hoa Trang Dang:
             Evaluation of Automatic Summaries: Metrics under Varying Data

15:30-16:00 Coffee Break

16:00-18:00 Afternoon Session 2: Short Papers / Discussion
 16:00-16:20 Maria Fernanda Caropreso, Diana Inkpen, Shahzad Khan and
             Fazel Keshtkar:
             Visual Development Process for Automatic Generation of
             Fazel Keshtkar:
             Visual Development Process for Automatic Generation of
             Digital Games Narrative Content
 16:20-16:40 Iris Hendrickx, Walter Daelemans, Erwin Marsi and Emiel
             Reducing Redundancy in Multi-document Summarization Using
             Lexical Semantic Similarity
 16:40-17:00 Mohit Kumar, Dipanjan Das, Sachin Agarwal and Alexander
             Non-textual Event Summarization by Applying Machine Learning
             to Template-based Language Generation
 17:00-17:20 Stephanie Schuldes, Michael Roth, Anette Frank and Michael
             Creating an Annotated Corpus for Generating Walking
 17:20-18:00 Panel-led discussion on synergies between summarisation and NLG,
             including shared tasks

Workshop Organisers

Anja Belz, University of Brighton, UK
Roger Evans, University of Brighton, UK
Sebastian Varges, University of Trento, Italy

Programme committee

Enrique Alfonseca, Google Zurich, Switzerland
Srinivas Bangalore, AT&T, USA
Robert Dale, Macquarie University, Australia
Daniel Marcu, ISI, University of Southern California, USA
Chris Mellish, Universiy of Aberdeen, UK
Ani Nenkova, University of Pennsylvania, USA
Amanda Stent, SUNY, USA
Michael Strube, EML Research, Germany
Stephen Wan, Macquarie University, Australia
Mike White, Ohio State University, USA
Jianguo Xiao, Peking University, China

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