(Apologies for multiples postings)
Final Call for Papers
2nd Workshop on Computational Semantics Beyond Events and Roles (SemBEaR)
Colocated with NAACL 2018
New Orleans, June 5, 2018
***Students travel grants sponsored by NSF available***
During the last decade, semantic representation of text has focused on
extracting propositional meaning, i.e., capturing who does what to whom,
how, when and where. Several corpora are available, and existing tools
extract this kind of knowledge, e.g., role labelers trained on PropBank
or NomBank. Nevertheless, most current representations tend to disregard
significant meaning encoded in human language. For example, sentences
1-2 below share the same argument structure regarding verb contracted,
but do not convey the overall meaning. While in the first example John
contracting the disease is factual, in the second it is not:
- John likely contracted the disease when a mouse bit him in the
- John never contracted the disease although a mouse bit him in the
In order to truly capture what these sentences mean, aspects of meaning
that go beyond identifying events and their roles (e.g., uncertainty,
negation and attribution) must be taken into account.
The Workshop on Computational Semantics Beyond Events and Roles focuses
on a broad range of semantic phenomena that lays beyond the
identification and linking of eventualities and their semantic arguments
with relations such as agent (who), theme (what) and location (where),
here so called SemBEaR.
SemBEaR is pervasive in human language and, while studied from a
theoretical perspective, computational models are still scarce. Humans
use language to describe events that do not correlate with a real
situation in the world. They express desires, intentions and plans, and
also discuss events that did not happen or are unlikely to happen.
Events are often described hypothetically, and speculation can be used
to explain why something is a certain way without a strong commitment.
Humans do not always (want to) tell the (whole) truth: they may use
deception to hide lies. Devices such as irony and sarcasm are employed
to play with words so that what is said is not what is meant. Finally,
humans not only describe their personal views or experiences, but also
attribute statements to others. These phenomena are not exclusive of
opinionated texts. They are ubiquitous in language, including scientific
works (Hyland 1998) and news as exemplified below:
- Female leaders might have avoided world wars.
- Political experts speculate that Donald Trump's meltdown is beginning.
- Infected people typically don't become contagious until they
- Medical personnel can be infected if they don't use protective
gear, such as surgical masks and gloves.
- You can only catch Ebola from coming into direct contact with the
bodily fluids of someone who has the disease and is showing symptoms.
- We have never seen a human virus change the way it is transmitted.
- The government did not release the files until 1998.
In its 2018 edition, the SemBEaR workshop aims at bringing together
scientists working on these type of semantic phenomena within
computational semantics. The goal is to attract researchers interested
in theoretical frameworks, annotation schemas, modeling and implementing
real systems, as well as analyzing the impact of SemBEaR in NLP
applications. The workshop also aims at building a bridge between
theoretical and computational linguistics. In particular, it will
address these topics:
- Negation: verbal/non-verbal, analytic/synthetic,
clausal/subclausal; scope and focus
- Modality: defining and annotating types for computational linguistics
- Factuality: determining factuality changes within and across documents
- Veridicity and veridicality: measuring author commitment
- Attribution and perspectives: determining whose perspective is
- Irony and sarcasm
- SemBEaR and lexical resources
- SemBEaR at the sentence and discourse level: how much context is
- SemBEaR across domains: news, scientific texts, legal documents,
economy texts, etc.
- SemBEaR and implicit meaning: what do sentences really mean?
- SemBEaR in spoken language
- (Automatically) extracting SemBEaR: strategies, resources and
- Supervised, unsupervised and rule-based approaches to extract SemBEaR
- Integrating SemBEaR in the NLP pipeline
- SemBEaR for NLP applications: does it help?
Authors are invited to submit papers describing original, unpublished
work in the topic areas listed above. Full papers should not exceed
eight pages. Additionally, authors are invited to submit short papers
not exceeding 4 pages. Short papers usually describe:
- a small, focused contribution;
- work in progress;
- a negative result;
- an opinion piece; or
- an interesting application nugget.
All papers can have up to 2 pages of references. All submissions must be
in PDF format and must conform to the official NAACL 2018 style
guidelines (http://naacl2018.org/call_for_paper.html). The reviewing
process will be blind and papers should not include the authors' names
and affiliations. Each submission will be reviewed by at least three
members of the program committee. Accepted papers will be published in
the workshop proceedings and available at the ACL Anthology.
Multiple Submission Policy. Papers that have been or will be submitted
to other meetings or publications are acceptable, but authors must
indicate this information at submission time. If accepted, authors must
notify the organizers as to whether the paper will be presented at the
workshop or elsewhere.
Electronic Submission. Papers should be submitted electronically at
December 8, 2017: First call for papers
March 12, 2018: Submission deadline for short and full papers
April 2, 2018: Notification of acceptance
April 16, 2018: Camera-ready papers due
June 5 or 6, 2018: SemBEaR workshop
Eduardo Blanco - University of North Texas
Roser Morante - VU Amsterdam
Contact details are available at the workshop website.
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