6,320 research outputs found
Antecedent selection techniques for high-recall roreference resolution
We investigate methods to improve the recall in coreference resolution by also trying to resolve those definite descriptions where no earlier mention of the referent shares the same lexical head (coreferent bridging). The problem, which is notably harder than identifying coreference relations among mentions which have the same lexical head, has been tackled with several rather different approaches, and we attempt to provide a meaningful classification along with a quantitative comparison. Based on the different merits of the methods, we discuss possibilities to improve them and show how they can be effectively combined
The automatic generation of narratives
We present the Narrator, a Natural Language Generation component used in a digital storytelling system. The system takes as input a formal representation of a story plot, in the form of a causal network relating the actions of the characters to their motives and their consequences. Based on this input, the Narrator generates a narrative in Dutch, by carrying out tasks such as constructing a Document Plan, performing aggregation and ellipsis and the generation of appropriate referring expressions. We describe how these tasks are performed and illustrate the process with examples, showing how this results in the generation
of coherent and well-formed narrative texts
Identity and Granularity of Events in Text
In this paper we describe a method to detect event descrip- tions in
different news articles and to model the semantics of events and their
components using RDF representations. We compare these descriptions to solve a
cross-document event coreference task. Our com- ponent approach to event
semantics defines identity and granularity of events at different levels. It
performs close to state-of-the-art approaches on the cross-document event
coreference task, while outperforming other works when assuming similar quality
of event detection. We demonstrate how granularity and identity are
interconnected and we discuss how se- mantic anomaly could be used to define
differences between coreference, subevent and topical relations.Comment: Invited keynote speech by Piek Vossen at Cicling 201
Multiple Discourse Relations on the Sentential Level in Japanese
In the German government (BMBF) funded project Verbmobil, a semantic
formalism Language for Underspecified Discourse Representation Structures (LUD)
is used which describes several DRSs and allows for underspecification. Dealing
with Japanese poses challenging problems. In this paper, a treatment of
multiple discourse relation constructions on the sentential level is shown,
which are common in Japanese but cause a problem for the formalism,. The
problem is to distinguish discourse relations which take the widest scope
compared with other scope-taking elements on the one hand and to have them
underspecified among each other on the other hand. We also state a semantic
constraint on the resolution of multiple discourse relations which seems to
prevail over the syntactic c-command constraint.Comment: 6 pages, Postscrip
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Proceedings of QG2010: The Third Workshop on Question Generation
These are the peer-reviewed proceedings of "QG2010, The Third Workshop on Question Generation". The workshop included a special track for "QGSTEC2010: The First Question Generation Shared Task and Evaluation Challenge".
QG2010 was held as part of The Tenth International Conference on Intelligent Tutoring Systems (ITS2010)
Common Scientific Lexicon for Automatic Discourse Analysis of Scientific and Technical Texts
The paper reports on preliminary results of an ongoing research aiming at development of an
automatic procedure for recognition of discourse-compositional structure of scientific and technical texts, which is
required in many NLP applications. The procedure exploits as discourse markers various domain-independent
words and expressions that are specific for scientific and technical texts and organize scientific discourse. The
paper discusses features of scientific discourse and common scientific lexicon comprising such words and
expressions. Methodological issues of development of a computer dictionary for common scientific lexicon are
concerned; basic principles of its organization are described as well. Main steps of the discourse-analyzing
procedure based on the dictionary and surface syntactical analysis are pointed out
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