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 Ellen Michele Riloff

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Average citations per article29.32
Citation Count1,818
Publication count62
Publication years1991-2016
Available for download41
Average downloads per article381.00
Downloads (cumulative)15,621
Downloads (12 Months)1,300
Downloads (6 Weeks)136
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62 results found Export Results: bibtexendnoteacmrefcsv

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1
February 2016 AAAI'16: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 0

Many common events in our daily life affect us in positive and negative ways. For example, going on vacation is typically an enjoyable event, while being rushed to the hospital is an undesirable event. In narrative stories and personal conversations, recognizing that some events have a strong affective polarity is ...

2
July 2012 AAAI'12: Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 3

Event extraction systems typically locate the role fillers for an event by analyzing sentences in isolation and identifying each role filler independently of the others.We argue that more accurate event extraction requires a view of the larger context to decide whether an entity is related to a relevant event. We ...

3
June 2012 SemEval '12: Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 1,   Downloads (12 Months): 2,   Downloads (Overall): 55

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We present an ensemble-based framework for semantic lexicon induction that incorporates three diverse approaches for semantic class identification. Our architecture brings together previous bootstrapping methods for pattern-based semantic lexicon induction and contextual semantic tagging, and incorporates a novel approach for inducing semantic classes from coreference chains. The three methods are ...

4
April 2012 EACL '12: Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 3,   Downloads (12 Months): 22,   Downloads (Overall): 183

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Most event extraction systems are trained with supervised learning and rely on a collection of annotated documents. Due to the domain-specificity of this task, event extraction systems must be retrained with new annotated data for each domain. In this paper, we propose a bootstrapping solution for event role filler extraction ...

5
October 2011 IEEE Transactions on Affective Computing: Volume 2 Issue 4, October 2011
Publisher: IEEE Computer Society Press
Bibliometrics:
Citation Count: 7

"Subjectivity analysis” systems automatically identify and extract information relating to attitudes, opinions, and sentiments from text. As more and more people make their opinions available on the Internet and as people increasingly consult the Internet to ascertain other people's opinions about products, political issues, and so on, the demand for ...
Keywords: Natural language processing, text analysis.

6
July 2011 EMNLP '11: Proceedings of the Conference on Empirical Methods in Natural Language Processing
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 7
Downloads (6 Weeks): 8,   Downloads (12 Months): 52,   Downloads (Overall): 272

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This research studies the text genre of message board forums, which contain a mixture of expository sentences that present factual information and conversational sentences that include communicative acts between the writer and readers. Our goal is to create sentence classifiers that can identify whether a sentence contains a speech act, ...

7
June 2011 BioNLP Shared Task '11: Proceedings of the BioNLP Shared Task 2011 Workshop
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 0,   Downloads (12 Months): 8,   Downloads (Overall): 45

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To participate in the Protein Coreference section of the BioNLP 2011 Shared Task, we use Reconcile, a coreference resolution engine, by replacing some pre-processing components and adding a new mention detector. We got some improvement from training two separate classifiers for detecting anaphora and antecedent mentions. Our system yielded the ...

8
June 2011 BioNLP '11: Proceedings of BioNLP 2011 Workshop
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 3,   Downloads (Overall): 86

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Traditionally, automated triage of papers is performed using lexical (unigram, bigram, and sometimes trigram) features. This paper explores the use of information extraction (IE) techniques to create richer linguistic features than traditional bag-of-words models. Our classifier includes lexico-syntactic patterns and more-complex features that represent a pattern coupled with its extracted ...

9
June 2011 HLT '11: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 5
Downloads (6 Weeks): 2,   Downloads (12 Months): 6,   Downloads (Overall): 65

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The goal of our research is to improve event extraction by learning to identify secondary role filler contexts in the absence of event keywords. We propose a multi-layered event extraction architecture that progressively "zooms in" on relevant information. Our extraction model includes a document genre classifier to recognize event narratives, ...

10
June 2011 HLT '11: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 0,   Downloads (12 Months): 8,   Downloads (Overall): 97

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We present an NLP system that classifies the assertion type of medical problems in clinical notes used for the Fourth i2b2/VA Challenge. Our classifier uses a variety of linguistic features, including lexical, syntactic, lexico-syntactic, and contextual features. To overcome an extremely unbalanced distribution of assertion types in the data set, ...

11
October 2010 EMNLP '10: Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 8
Downloads (6 Weeks): 4,   Downloads (12 Months): 28,   Downloads (Overall): 197

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In the 1980s, plot units were proposed as a conceptual knowledge structure for representing and summarizing narrative stories. Our research explores whether current NLP technology can be used to automatically produce plot unit representations for narrative text. We create a system called AESOP that exploits a variety of existing resources ...

12
July 2010 ACL '10: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 14
Downloads (6 Weeks): 2,   Downloads (12 Months): 12,   Downloads (Overall): 162

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This research explores the idea of inducing domain-specific semantic class taggers using only a domain-specific text collection and seed words. The learning process begins by inducing a classifier that only has access to contextual features, forcing it to generalize beyond the seeds. The contextual classifier then labels new instances, to ...

13
July 2010 ACLShort '10: Proceedings of the ACL 2010 Conference Short Papers
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 22
Downloads (6 Weeks): 4,   Downloads (12 Months): 34,   Downloads (Overall): 283

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Despite the existence of several noun phrase coreference resolution data sets as well as several formal evaluations on the task, it remains frustratingly difficult to compare results across different coreference resolution systems. This is due to the high cost of implementing a complete end-to-end coreference resolution system, which often forces ...

14
June 2010 CAAGET '10: Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 1,   Downloads (12 Months): 9,   Downloads (Overall): 64

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We present a system called AESOP that automatically produces affect states associated with characters in a story. This research represents a first step toward the automatic generation of plot unit structures from text. AESOP incorporates several existing sentiment analysis tools and lexicons to evaluate the effectiveness of current sentiment technology ...

15
August 2009 EMNLP '09: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 12
Downloads (6 Weeks): 4,   Downloads (12 Months): 16,   Downloads (Overall): 253

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Many algorithms extract terms from text together with some kind of taxonomic classification (is-a) link. However, the general approaches used today, and specifically the methods of evaluating results, exhibit serious shortcomings. Harvesting without focusing on a specific conceptual area may deliver large numbers of terms, but they are scattered over ...

16
August 2009 EMNLP '09: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 17
Downloads (6 Weeks): 0,   Downloads (12 Months): 6,   Downloads (Overall): 161

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Information Extraction (IE) systems that extract role fillers for events typically look at the local context surrounding a phrase when deciding whether to extract it. Often, however, role fillers occur in clauses that are not directly linked to an event word. We present a new model for event extraction that ...

17
August 2009 ACL '09: Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 36
Downloads (6 Weeks): 3,   Downloads (12 Months): 29,   Downloads (Overall): 312

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We aim to shed light on the state-of-the-art in NP coreference resolution by teasing apart the differences in the MUC and ACE task definitions, the assumptions made in evaluation methodologies, and inherent differences in text corpora. First, we examine three subproblems that play a role in coreference resolution: named entity ...

18
June 2009 UMSLLS '09: Proceedings of the Workshop on Unsupervised and Minimally Supervised Learning of Lexical Semantics
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 1,   Downloads (12 Months): 3,   Downloads (Overall): 104

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Various techniques have been developed to automatically induce semantic dictionaries from text corpora and from the Web. Our research combines corpus-based semantic lexicon induction with statistics acquired from the Web to improve the accuracy of automatically acquired domain-specific dictionaries. We use a weakly supervised bootstrapping algorithm to induce a semantic ...

19
July 2008 AAAI'08: Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Publisher: AAAI Press
Bibliometrics:
Citation Count: 0

Our research is motivated by the observation that NLP systems frequently mislabel passive voice verb phrases as being in the active voice when there is no auxiliary verb (e.g., "The man arrested had a long record"). These errors directly impact thematic role recognition and NLP applications that depend on it. ...

20
July 2006 EMNLP '06: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 54
Downloads (6 Weeks): 8,   Downloads (12 Months): 56,   Downloads (Overall): 475

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Lexical features are key to many approaches to sentiment analysis and opinion detection. A variety of representations have been used, including single words, multi-word Ngrams, phrases, and lexico-syntactic patterns. In this paper, we use a subsumption hierarchy to formally define different types of lexical features and their relationship to one ...



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