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LINGUIST List 23.1973

Sun Apr 22 2012

Calls: Computational Ling, Semantics, Text/Corpus Ling/South Korea

Editor for this issue: Alison Zaharee <alisonlinguistlist.org>

LINGUIST is pleased to announce an exciting service: Easy Abstracts! Easy Abs is a free abstract submission and review facility designed to help conference organizers and reviewers accept and process abstracts online. Just go to: http://www.linguistlist.org/confcustom, and begin your conference customization process today! With Easy Abstracts, submission and review will be as easy as 1-2-3!
Date: 21-Apr-2012
From: Yuval Marton <yuvalmartongmail.com>
Subject: Workshop on Statistical Parsing and Semantic Processing of Morphologically Rich Languages
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Full Title: Workshop on Statistical Parsing and Semantic Processing of Morphologically Rich Languages
Short Title: SP-Sem-MRL

Date: 12-Jul-2012 - 14-Jul-2012
Location: Jeju Island, Korea, South
Contact Person: Yuval Marton
Meeting Email: < click here to access email >
Web Site: http://sites.google.com/site/spsemmrl2012/

Linguistic Field(s): Computational Linguistics; Morphology; Semantics; Syntax; Text/Corpus Linguistics

Call Deadline: 28-Apr-2012

Meeting Description:

ACL 2012 Joint Workshop on Statistical Parsing and Semantic Processing of Morphologically Rich Languages (SP-Sem-MRL)

This workshop is endorsed by SIGLEX & SIGPARSE and sponsored by the PASCAL Network of Excellence & the INRIA's Alpage project.

Morphologically Rich Languages (MRLs) are languages in which grammatical relations such as Subject, Predicate, Object, etc., are indicated morphologically (e.g. through inflection) instead of positionally (as in, e.g. English), and the position of words and phrases in the sentence may vary substantially. The tight connection between the morphology of words and the grammatical relations between them, and the looser connection between the position and grouping of words to their syntactic roles, pose serious challenges for syntactic and semantic processing. Furthermore, since grammatical relations provide the interface to compositional semantics, morphosyntactic phenomena may significantly complicate processing the syntax-semantics interface. In statistical parsing, which has been a cornerstone of research in NLP and had seen great advances due to the widespread availability of syntactically annotated corpora, English parsing performance has reached a high plateau in certain genres, which is however not always indicative of parsing performance in MRLs, dependency-based and constituency-based alike. Semantic processing of natural language has similarly seen much progress in recent years. However, as in parsing, the bulk of the work has concentrated on English, and MRLs may present processing challenges that the community is as of yet unaware of, and which current semantic processing technologies may have difficulty coping with. These challenges may lurk in areas where parses may be used as input, such as semantic role labeling, distributional semantics, paraphrasing and textual entailment, or where inadequate pre-processing of morphological variation hurts parsing and semantic tasks alike.

This joint workshop aims to build upon the first and second SPMRL workshops (at NAACL-HLT 2010 and IWPT 2011, respectively) while extending the overall scope to include semantic processing where MRLs pose challenges for algorithms or models initially designed to process English. In particular, we seek to explore the use of newly available syntactically and/or semantically annotated corpora, or data sets for semantic evaluation that can contribute to our understanding of the difficulty that such phenomena pose. One goal of this workshop is to encourage cross-fertilization among researchers working on different languages and among those working on different levels of processing. Of particular interest is work addressing the lexical sparseness and out-of-vocabulary issues that occur in both syntactic and semantic processing.

The workshop will be organised around three broad themes:

- Syntactic Models: Models and architectures that explicitly integrate morphological analysis and parsing; Cross-language and cross-model comparison of strengths and weaknesses regarding particular linguistic phenomena.

- Semantic Models: State-of-the-art semantic analysis and generation methods for MRLs, including semantic similarity and entailment criteria and their task-specific instantiation, and suitable representations for semantic tasks in MRLs.

- Joint Modeling Aspects: Improving lexical coverage and handling of out-of-vocabulary (OOV) words by utilising lexical knowledge or unsupervised/semi-supervised learning techniques; The role of parsing in semantic analysis for MRLs; Preprocessing issues that jointly affect parsing and semantic analysis; Syntax-Semantics interfaces for monolingual or multilingual systems.

Final Call for Papers:

Short paper deadline extension: Semantic tract of ACL 2012 SP-SEM-MRL Workshop

Due to multiple requests, the semantic track short paper deadline of the ACL 2012 SP-SEM-MRL workshop is now extended to Saturday, April 28, 11:59pm PST (UTC/GMT -8 hours).

Authors who wish to take advantage of this extension for new submissions are requested to submit an abstract draft by Tuesday (April 23), to help us assign reviewers in this tight schedule. The abstract should be extended to a short paper format by April 28. All semantic processing track short paper submissions - both previously submitted short and newly submitted abstracts - may be updated and resubmitted online until the new extended deadline (April 28).

Note: Syntactic parsing track short paper deadline has NOT changed (it is April 22). This extension is due to overlap with *SEM notification deadline and other events, and in order to encourage submission for the newly introduced track of semantic processing of MRL, so we can have a broader coverage for this emerging important topic. No additional extensions will be given under any circumstances.

For CFP and other details, go to https://sites.google.com/site/spsemmrl2012. For submission in PDF format via the START system:


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