Christiane Fellbaum


pdf bib
Automated WordNet Construction Using Word Embeddings
Mikhail Khodak | Andrej Risteski | Christiane Fellbaum | Sanjeev Arora
Proceedings of the 1st Workshop on Sense, Concept and Entity Representations and their Applications

We present a fully unsupervised method for automated construction of WordNets based upon recent advances in distributional representations of sentences and word-senses combined with readily available machine translation tools. The approach requires very few linguistic resources and is thus extensible to multiple target languages. To evaluate our method we construct two 600-word testsets for word-to-synset matching in French and Russian using native speakers and evaluate the performance of our method along with several other recent approaches. Our method exceeds the best language-specific and multi-lingual automated WordNets in F-score for both languages. The databases we construct for French and Russian, both languages without large publicly available manually constructed WordNets, will be publicly released along with the testsets.


pdf bib
Encoding Adjective Scales for Fine-grained Resources
Cédric Lopez | Frédérique Segond | Christiane Fellbaum
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

We propose an automatic approach towards determining the relative location of adjectives on a common scale based on their strength. We focus on adjectives expressing different degrees of goodness occurring in French product (perfumes) reviews. Using morphosyntactic patterns, we extract from the reviews short phrases consisting of a noun that encodes a particular aspect of the perfume and an adjective modifying that noun. We then associate each such n-gram with the corresponding product aspect and its related star rating. Next, based on the star scores, we generate adjective scales reflecting the relative strength of specific adjectives associated with a shared attribute of the product. An automatic ordering of the adjectives “correct” (correct), “sympa” (nice), “bon” (good) and “excellent” (excellent) according to their score in our resource is consistent with an intuitive scale based on human judgments. Our long-term objective is to generate different adjective scales in an empirical manner, which could allow the enrichment of lexical resources.


Proceedings of the Seventh Global Wordnet Conference
Heili Orav | Christiane Fellbaum | Piek Vossen
Proceedings of the Seventh Global Wordnet Conference

pdf bib
Towards Building Lexical Ontology via Cross-Language Matching
Mamoun Abu Helou | Matteo Palmonari | Mustafa Jarrar | Christiane Fellbaum
Proceedings of the Seventh Global Wordnet Conference

pdf bib
The Role of Adverbs in Sentiment Analysis
Eduard Dragut | Christiane Fellbaum
Proceedings of Frame Semantics in NLP: A Workshop in Honor of Chuck Fillmore (1929-2014)

pdf bib
Proceedings of Workshop on Lexical and Grammatical Resources for Language Processing
Jorge Baptista | Pushpak Bhattacharyya | Christiane Fellbaum | Mikel Forcada | Chu-Ren Huang | Svetla Koeva | Cvetana Krstev | Eric Laporte
Proceedings of Workshop on Lexical and Grammatical Resources for Language Processing


pdf bib
Obituary: George A. Miller
Christiane Fellbaum
Computational Linguistics, Volume 39, Issue 1 - March 2013


pdf bib
The MASC Word Sense Corpus
Rebecca J. Passonneau | Collin F. Baker | Christiane Fellbaum | Nancy Ide
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

The MASC project has produced a multi-genre corpus with multiple layers of linguistic annotation, together with a sentence corpus containing WordNet 3.1 sense tags for 1000 occurrences of each of 100 words produced by multiple annotators, accompanied by indepth inter-annotator agreement data. Here we give an overview of the contents of MASC and then focus on the word sense sentence corpus, describing the characteristics that differentiate it from other word sense corpora and detailing the inter-annotator agreement studies that have been performed on the annotations. Finally, we discuss the potential to grow the word sense sentence corpus through crowdsourcing and the plan to enhance the content and annotations of MASC through a community-based collaborative effort.

pdf bib
Empirical Comparisons of MASC Word Sense Annotations
Gerard de Melo | Collin F. Baker | Nancy Ide | Rebecca J. Passonneau | Christiane Fellbaum
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

We analyze how different conceptions of lexical semantics affect sense annotations and how multiple sense inventories can be compared empirically, based on annotated text. Our study focuses on the MASC project, where data has been annotated using WordNet sense identifiers on the one hand, and FrameNet lexical units on the other. This allows us to compare the sense inventories of these lexical resources empirically rather than just theoretically, based on their glosses, leading to new insights. In particular, we compute contingency matrices and develop a novel measure, the Expected Jaccard Index, that quantifies the agreement between annotations of the same data based on two different resources even when they have different sets of categories.


pdf bib
A Multimodal Vocabulary for Augmentative and Alternative Communication from Sound/Image Label Datasets
Xiaojuan Ma | Christiane Fellbaum | Perry Cook
Proceedings of the NAACL HLT 2010 Workshop on Speech and Language Processing for Assistive Technologies

pdf bib
The Manually Annotated Sub-Corpus: A Community Resource for and by the People
Nancy Ide | Collin Baker | Christiane Fellbaum | Rebecca Passonneau
Proceedings of the ACL 2010 Conference Short Papers

pdf bib
SemEval-2010 Task 17: All-Words Word Sense Disambiguation on a Specific Domain
Eneko Agirre | Oier Lopez de Lacalle | Christiane Fellbaum | Shu-Kai Hsieh | Maurizio Tesconi | Monica Monachini | Piek Vossen | Roxanne Segers
Proceedings of the 5th International Workshop on Semantic Evaluation

pdf bib
Lexical Resources for Noun Compounds in Czech, English and Zulu
Karel Pala | Christiane Fellbaum | Sonja Bosch
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

In this paper we discuss noun compounding, a highly generative, productive process, in three distinct languages: Czech, English and Zulu. Derivational morphology presents a large grey area between regular, compositional and idiosyncratic, non-compositional word forms. The structural properties of compounds in each of the languages are reviewed and contrasted. Whereas English compounds are head-final and thus left-branching, Czech and Zulu compounds usually consist of a leftmost governing head and a rightmost dependent element. Semantic properties of compounds are discussed with special reference to semantic relations between compound members which cross-linguistically show universal patterns, but idiosyncratic, language specific compounds are also identified. The integration of compounds into lexical resources, and WordNets in particular, remains a challenge that needs to be considered in terms of the compounds’ syntactic idiosyncrasy and semantic compositionality. Experiments with processing compounds in Czech, English and Zulu are reported and partly evaluated. The obtained partial lists of the Czech, English and Zulu compounds are also described.


pdf bib
SemEval-2010 Task 17: All-words Word Sense Disambiguation on a Specific Domain
Eneko Agirre | Oier Lopez de Lacalle | Christiane Fellbaum | Andrea Marchetti | Antonio Toral | Piek Vossen
Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions (SEW-2009)

pdf bib
WordNet and FrameNet as Complementary Resources for Annotation
Collin F. Baker | Christiane Fellbaum
Proceedings of the Third Linguistic Annotation Workshop (LAW III)


pdf bib
MASC: the Manually Annotated Sub-Corpus of American English
Nancy Ide | Collin Baker | Christiane Fellbaum | Charles Fillmore | Rebecca Passonneau
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

To answer the critical need for sharable, reusable annotated resources with rich linguistic annotations, we are developing a Manually Annotated Sub-Corpus (MASC) including texts from diverse genres and manual annotations or manually-validated annotations for multiple levels, including WordNet senses and FrameNet frames and frame elements, both of which have become significant resources in the international computational linguistics community. To derive maximal benefit from the semantic information provided by these resources, the MASC will also include manually-validated shallow parses and named entities, which will enable linking WordNet senses and FrameNet frames within the same sentences into more complex semantic structures and, because named entities will often be the role fillers of FrameNet frames, enrich the semantic and pragmatic information derivable from the sub-corpus. All MASC annotations will be published with detailed inter-annotator agreement measures. The MASC and its annotations will be freely downloadable from the ANC website, thus providing maximum accessibility for researchers from around the globe.

pdf bib
KYOTO: a System for Mining, Structuring and Distributing Knowledge across Languages and Cultures
Piek Vossen | Eneko Agirre | Nicoletta Calzolari | Christiane Fellbaum | Shu-kai Hsieh | Chu-Ren Huang | Hitoshi Isahara | Kyoko Kanzaki | Andrea Marchetti | Monica Monachini | Federico Neri | Remo Raffaelli | German Rigau | Maurizio Tescon | Joop VanGent
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

We outline work performed within the framework of a current EC project. The goal is to construct a language-independent information system for a specific domain (environment/ecology/biodiversity) anchored in a language-independent ontology that is linked to wordnets in seven languages. For each language, information extraction and identification of lexicalized concepts with ontological entries is carried out by text miners (“Kybots”). The mapping of language-specific lexemes to the ontology allows for crosslinguistic identification and translation of equivalent terms. The infrastructure developed within this project enables long-range knowledge sharing and transfer across many languages and cultures, addressing the need for global and uniform transition of knowledge beyond the specific domains addressed here.

pdf bib
Augmenting WordNet for Deep Understanding of Text
Peter Clark | Christiane Fellbaum | Jerry R. Hobbs | Phil Harrison | William R. Murray | John Thompson
Semantics in Text Processing. STEP 2008 Conference Proceedings


pdf bib
On the Role of Lexical and World Knowledge in RTE3
Peter Clark | Phil Harrison | John Thompson | William Murray | Jerry Hobbs | Christiane Fellbaum
Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing

pdf bib
SemEval-2007 Task 18: Arabic Semantic Labeling
Mona Diab | Musa Alkhalifa | Sabry ElKateb | Christiane Fellbaum | Aous Mansouri | Martha Palmer
Proceedings of the Fourth International Workshop on Semantic Evaluations (SemEval-2007)


pdf bib
Building a WordNet for Arabic
Sabri Elkateb | William Black | Horacio Rodríguez | Musa Alkhalifa | Piek Vossen | Adam Pease | Christiane Fellbaum
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

This paper introduces a recently initiated project that focuses on building a lexical resource for Modern Standard Arabic based on the widely used Princeton WordNet for English (Fellbaum, 1998). Our aim is to develop a linguistic resource with a deep formal semantic foundation in order to capture the richness of Arabic as described in Elkateb (2005). Arabic WordNet is being constructed following methods developed for EuroWordNet (Vossen, 1998). In addition to the standard wordnet representation of senses, word meanings are also being defined with a machine understandable semantics in first order logic. The basis for this semantics is the Suggested Upper Merged Ontology and its associated domain ontologies (Niles and Pease, 2001). We will greatly extend the ontology and its set of mappings to provide formal terms and definitions for each synset. Tools to be developed as part of this effort include a lexicographer's interface modeled on that used for EuroWordNet, with added facilities for Arabic script, following Black and Elkateb's earlier work (2004).


pdf bib
Medical WordNet: A New Methodology for the Construction and Validation of Information Resources for Consumer Health
Barry Smith | Christiane Fellbaum
COLING 2004: Proceedings of the 20th International Conference on Computational Linguistics

pdf bib
A Corpus-based Lexical Resource of German Idioms
Gerald Neumann | Christiane Fellbaum | Alexander Geyken | Axel Herold | Christiane Hümmer | Fabian Körner | Undine Kramer | Kerstin Krell | Alexey Sokirko | Diana Stantcheva | Ekatherini Stathi
Proceedings of the Workshop on Enhancing and Using Electronic Dictionaries


pdf bib
From Resources to Applications. Designing the Multilingual ISLE Lexical Entry
Sue Atkins | Nuria Bel | Francesca Bertagna | Pierrette Bouillon | Nicoletta Calzolari | Christiane Fellbaum | Ralph Grishman | Alessandro Lenci | Catherine MacLeod | Martha Palmer | Gregor Thurmair | Marta Villegas | Antonio Zampolli
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)


pdf bib
English Tasks: All-Words and Verb Lexical Sample
Martha Palmer | Christiane Fellbaum | Scott Cotton | Lauren Delfs | Hoa Trang Dang
Proceedings of SENSEVAL-2 Second International Workshop on Evaluating Word Sense Disambiguation Systems


pdf bib
Towards a Representation of Idioms in WordNet
Christiane Fellbaum
Usage of WordNet in Natural Language Processing Systems


pdf bib
Analysis of a Hand-Tagging Task
Christiane Fellbaum | Joachim Grabowski | Shari Land
Tagging Text with Lexical Semantics: Why, What, and How?