Cosmin Adrian Bejan

Also published as: Cosmin Adrian Bejan, Cosmin Bejan


2014

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Unsupervised Event Coreference Resolution
Cosmin Adrian Bejan | Sanda Harabagiu
Computational Linguistics, Volume 40, Issue 2 - June 2014

2013

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Identification of Patients with Acute Lung Injury from Free-Text Chest X-Ray Reports
Meliha Yetisgen-Yildiz | Cosmin Bejan | Mark Wurfel
Proceedings of the 2013 Workshop on Biomedical Natural Language Processing

2010

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A Linguistic Resource for Semantic Parsing of Motion Events
Kirk Roberts | Srikanth Gullapalli | Cosmin Adrian Bejan | Sanda Harabagiu
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

This paper presents a corpus of annotated motion events and their event structure. We consider motion events triggered by a set of motion evoking words and contemplate both literal and figurative interpretations of them. Figurative motion events are extracted into the same event structure but are marked as figurative in the corpus. To represent the event structure of motion, we use the FrameNet annotation standard, which encodes motion in over 70 frames. In order to acquire a diverse set of texts that are different from FrameNet's, we crawled blog and news feeds for five different domains: sports, newswire, finance, military, and gossip. We then annotated these documents with an automatic FrameNet parser. Its output was manually corrected to account for missing and incorrect frames as well as missing and incorrect frame elements. The corpus, UTD-MotionEvent, may act as a resource for semantic parsing, detection of figurative language, spatial reasoning, and other tasks.

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Unsupervised Event Coreference Resolution with Rich Linguistic Features
Cosmin Bejan | Sanda Harabagiu
Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics

2008

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A Linguistic Resource for Discovering Event Structures and Resolving Event Coreference
Cosmin Bejan | Sanda Harabagiu
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

In this paper, we present a linguistic resource that annotates event structures in texts. We consider an event structure as a collection of events that interact with each other in a given situation. We interpret the interactions between events as event relations. In this regard, we propose and annotate a set of six relations that best capture the concept of event structure. These relations are: subevent, reason, purpose, enablement, precedence and related. A document from this resource can encode multiple event structures and an event structure can be described across multiple documents. In order to unify event structures, we also annotate inter- and intra-document event coreference. Moreover, we provide methodologies for automatic discovery of event structures from texts. First, we group the events that constitute an event structure into event clusters and then, we use supervised learning frameworks to classify the relations that exist between events from the same cluster

2007

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UTD-SRL: A Pipeline Architecture for Extracting Frame Semantic Structures
Cosmin Adrian Bejan | Chris Hathaway
Proceedings of the Fourth International Workshop on Semantic Evaluations (SemEval-2007)

2006

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An Answer Bank for Temporal Inference
Sanda Harabagiu | Cosmin Adrian Bejan
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

Answering questions that ask about temporal information involves several forms of inference. In order to develop question answering capabilities that benefit from temporal inference, we believe that a large corpus of questions and answers that are discovered based on temporal information should be available. This paper describes our methodology for creating AnswerTime-Bank, a large corpus of questions and answers on which Question Answering systems can operate using complex temporal inference.

2004

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Semantic parsing based on FrameNet
Cosmin Adrian Bejan | Alessandro Moschitti | Paul Morărescu | Gabriel Nicolae | Sanda Harabagiu
Proceedings of SENSEVAL-3, the Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text

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A Semantic Kernel for Predicate Argument Classification
Alessandro Moschitti | Cosmin Adrian Bejan
Proceedings of the Eighth Conference on Computational Natural Language Learning (CoNLL-2004) at HLT-NAACL 2004

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Intentions, Implicatures and Processing of Complex Questions
Sanda Harabagiu | Steven Maiorano | Alessandro Moschitti | Cosmin Bejan
Proceedings of the Workshop on Pragmatics of Question Answering at HLT-NAACL 2004