Difference between revisions of "CALC-10"
(22 intermediate revisions by 3 users not shown) | |||
Line 1: | Line 1: | ||
== NAACL HLT Workshop on Computational Approaches to Linguistic Creativity 2010 == | == NAACL HLT Workshop on Computational Approaches to Linguistic Creativity 2010 == | ||
− | It is generally agreed upon that | + | It is generally agreed upon that creativity is an important property of human language. For example, speakers routinely coin new words, employ novel metaphors, and play with words through puns. Indeed, such creative processes take place at all levels of language from the lexicon, to syntax, semantics, and discourse. Creativity allows speakers to express themselves with their own individual style. It provides new ways of looking at the world, by describing something through the use of unusual comparisons for effect, emphasis, or interest, and thus making language more engaging and fun. Listeners are typically able to understand creative language without any difficulties. On the other hand, generating and recognizing creative language presents a tremendous challenge for natural language processing (NLP) systems. |
The recognition of instances of linguistic creativity, and the computation of their meaning, constitute one of the most challenging problems for a variety of NLP tasks, such as machine translation, text summarization, information retrieval, dialog systems, and sentiment analysis. Moreover, models of linguistic creativity are necessary for systems capable of generating story narratives, jokes, or poetry. Nevertheless, despite the importance of linguistic creativity in many NLP tasks, it still remains unclear how to model, simulate, or evaluate linguistic creativity. Furthermore, research on topics related to linguistic creativity has not received a great deal of attention at major computational linguistics conferences in recent years. | The recognition of instances of linguistic creativity, and the computation of their meaning, constitute one of the most challenging problems for a variety of NLP tasks, such as machine translation, text summarization, information retrieval, dialog systems, and sentiment analysis. Moreover, models of linguistic creativity are necessary for systems capable of generating story narratives, jokes, or poetry. Nevertheless, despite the importance of linguistic creativity in many NLP tasks, it still remains unclear how to model, simulate, or evaluate linguistic creativity. Furthermore, research on topics related to linguistic creativity has not received a great deal of attention at major computational linguistics conferences in recent years. | ||
Line 24: | Line 24: | ||
Related topics, including corpora collection, elicitation, and annotation of creative language usage, will also be considered, as long as their relevance to automatic systems is clearly demonstrated. | Related topics, including corpora collection, elicitation, and annotation of creative language usage, will also be considered, as long as their relevance to automatic systems is clearly demonstrated. | ||
+ | == Invited speaker == | ||
+ | |||
+ | [http://nil.fdi.ucm.es/index.php?q=node/92 Pablo Gervas], Universidad Complutense de Madrid, Spain | ||
+ | |||
+ | ==== Engineering Linguistic Creativity: Bird Flight and Jet Planes ==== | ||
+ | |||
+ | The achievement of flight by man is often used as an example of how | ||
+ | engineering practice may lead to the succesful emulation of behaviours | ||
+ | observed in nature. It is also used to illustrate the idea that a succesful | ||
+ | engineering solution (such as a jet plane) need not always mirror faithfully | ||
+ | the natural phenomenon which inspired it (the flight of birds). | ||
+ | |||
+ | The task of engineering solutions for linguistic creativity is at present | ||
+ | made difficult by an incomplete understanding of how we manage language and | ||
+ | how we achieve creativity. Nevertheless, over the past few years a large | ||
+ | research effort has been devoted to exploring issues such as computational | ||
+ | creativity, automated story telling, or poetry generation. In these cases, | ||
+ | there is also a combination of a naturally occurring source phenomenon and a | ||
+ | set of engineering techniques that provide an emulation of it. | ||
+ | |||
+ | In this talk I will review a number of such research and development efforts | ||
+ | that I have been involved in or studied in detail, paying particular | ||
+ | atention to identifying which traits of human activity are being modelled in | ||
+ | each case. Assuming these to be the equivalents of bird flight in terms of | ||
+ | linguistic creativity, I will go on to explore to what extent this analogy | ||
+ | is a valid one, what the differences are between the two cases, and what the | ||
+ | analogy might have to say about artificial linguistic creativity if it were | ||
+ | valid. | ||
== Location == | == Location == | ||
− | The CALC-10 workshop will be held in conjunction with [http://naaclhlt2010.isi.edu/ NAACL HLT 2010] in Los Angeles, on June 5 | + | The CALC-10 workshop will be held in conjunction with [http://naaclhlt2010.isi.edu/ NAACL HLT 2010] in Los Angeles, on June 5, 2010. |
+ | |||
+ | == Dates == | ||
+ | *Dec 18, 2009: Call for papers | ||
+ | *<b>Extended</b> <s>Mar 1</s> Mar 8, 2010: Paper submission deadline | ||
+ | *<b>Delayed</b> <s>Mar 30</s> Apr 5, 2010: Notification of acceptance | ||
+ | *Apr 12, 2010: Camera-ready paper deadline | ||
+ | *Jun 5, 2010: CALC-10 | ||
+ | |||
+ | == Schedule == | ||
+ | |||
+ | |||
+ | 1:30–1:45 Opening remarks | ||
+ | |||
+ | === Understanding creative language === | ||
+ | |||
+ | 1:45–2:10 | ||
+ | Automatic conjugation and identification of regular and irregular verb neologisms in Spanish | ||
+ | <br/>Luz Rello and Eduardo Basterrechea | ||
+ | |||
+ | 2:10–2:35 Mining and Classification of Neologisms in Persian Blogs | ||
+ | <br/>Karine Megerdoomian and Ali Hadjarian | ||
+ | |||
+ | 2:35–3:00 Comparing Semantic Role Labeling with Typed Dependency Parsing in Computational Metaphor Identification | ||
+ | <br/>Eric P. S. Baumer, James P. White and Bill Tomlinson | ||
+ | |||
+ | 3:00–3:30 Break | ||
+ | === Invited talk === | ||
− | == | + | 3:00–4:30 Engineering Linguistic Creativity: Bird Flight and Jet Planes |
− | + | <br/>Pablo Gervás | |
− | + | ||
− | + | 4:30–4:40 Break | |
− | + | ||
+ | === Generating creative language === | ||
+ | |||
+ | 4:40–5:05 An alternate approach towards meaningful lyric generation in Tamil | ||
+ | <br/>Ananth Ramakrishnan A and Sobha Lalitha Devi | ||
+ | |||
+ | 5:05–5:30 Representing Story Plans in SUMO | ||
+ | <br/>Jeffrey Cua, Ruli Manurung, Ethel Ong and Adam Pease | ||
+ | |||
+ | 5:30–5:55 Computational Creativity Tools for Songwriters | ||
+ | <br/>Burr Settles | ||
+ | |||
+ | 5:55–6:00 Closing remarks | ||
== Workshop co-chairs == | == Workshop co-chairs == | ||
− | * [http://cs.toronto.edu/~pcook Paul Cook], University of Toronto (pcook@cs.toronto.edu) | + | * [http://www.cs.toronto.edu/~pcook Paul Cook], University of Toronto (pcook@cs.toronto.edu) |
* [http://chss.montclair.edu/~feldmana/ Anna Feldman], Montclair State University (anna.feldman@montclair.edu) | * [http://chss.montclair.edu/~feldmana/ Anna Feldman], Montclair State University (anna.feldman@montclair.edu) | ||
== Program committee == | == Program committee == | ||
+ | * Kirk Baker, Collexis, Washington, DC | ||
* Roberto Basili, University of Roma, Italy | * Roberto Basili, University of Roma, Italy | ||
* Beata Beigman Klebanov, Northwestern University | * Beata Beigman Klebanov, Northwestern University | ||
Line 53: | Line 121: | ||
* Diana Inkpen, University of Ottawa, Canada | * Diana Inkpen, University of Ottawa, Canada | ||
* Mark Lee, Birmingham, UK | * Mark Lee, Birmingham, UK | ||
− | * Birte Loenneker-Rodman, | + | * Birte Loenneker-Rodman, Across Systems GmbH, Germany |
* Xiaofei Lu, Penn State | * Xiaofei Lu, Penn State | ||
* Ruli Manurung, University of Indonesia | * Ruli Manurung, University of Indonesia | ||
Line 62: | Line 130: | ||
* Vasile Rus, The University of Memphis | * Vasile Rus, The University of Memphis | ||
* Gerard Steen, Vrije Universiteit,The Netherlands | * Gerard Steen, Vrije Universiteit,The Netherlands | ||
− | * Juergen Trouvain, Saarland, Germany | + | * Juergen Trouvain, Saarland University, Germany |
== References == | == References == |
Latest revision as of 04:13, 25 June 2012
NAACL HLT Workshop on Computational Approaches to Linguistic Creativity 2010
It is generally agreed upon that creativity is an important property of human language. For example, speakers routinely coin new words, employ novel metaphors, and play with words through puns. Indeed, such creative processes take place at all levels of language from the lexicon, to syntax, semantics, and discourse. Creativity allows speakers to express themselves with their own individual style. It provides new ways of looking at the world, by describing something through the use of unusual comparisons for effect, emphasis, or interest, and thus making language more engaging and fun. Listeners are typically able to understand creative language without any difficulties. On the other hand, generating and recognizing creative language presents a tremendous challenge for natural language processing (NLP) systems.
The recognition of instances of linguistic creativity, and the computation of their meaning, constitute one of the most challenging problems for a variety of NLP tasks, such as machine translation, text summarization, information retrieval, dialog systems, and sentiment analysis. Moreover, models of linguistic creativity are necessary for systems capable of generating story narratives, jokes, or poetry. Nevertheless, despite the importance of linguistic creativity in many NLP tasks, it still remains unclear how to model, simulate, or evaluate linguistic creativity. Furthermore, research on topics related to linguistic creativity has not received a great deal of attention at major computational linguistics conferences in recent years.
CALC-09 was the first venue to present research on a wide range of topics related to linguistic creativity including computational models of metaphor, generation of creative texts, and measuring morphological and constructional productivity. CALC-10 provides a venue for publication of further research on these topics, and other aspects and modalities of linguistic creativity. Within the scope of the workshop, the event is intended to be interdisciplinary. Besides contributions from an NLP perspective, we also welcome the participation of researchers who deal with linguistic creativity from perspectives other than NLP, such as cognitive science, psychology, neuroscience, philosophy, the arts, and human-computer interaction.
Topics
We are particularly interested in work on the automatic detection, classification, understanding, or generation of:
- neologisms;
- creative use of figurative language, including metaphor, metonymy, personification, and idioms;
- new or unconventional syntactic constructions (e.g., May I serve who's next?);
- indirect speech acts (such as curses, insults, sarcasm, and irony), verbally expressed humor, poetry, and fiction;
- other phenomena illustrating linguistic creativity (e.g., eggcorns such as once and a while for once in a while; new and emerging forms found in computer-mediated communication).
We also welcome descriptions and discussions of:
- computational tools that support people in using language creatively (e.g., tools for computer-assisted creative writing, intelligent thesauri);
- computational and/or cognitive models of linguistic creativity;
- metrics and tools for evaluating the performance of creativity-aware systems;
- specific application scenarios of computational linguistic creativity;
Related topics, including corpora collection, elicitation, and annotation of creative language usage, will also be considered, as long as their relevance to automatic systems is clearly demonstrated.
Invited speaker
Pablo Gervas, Universidad Complutense de Madrid, Spain
Engineering Linguistic Creativity: Bird Flight and Jet Planes
The achievement of flight by man is often used as an example of how engineering practice may lead to the succesful emulation of behaviours observed in nature. It is also used to illustrate the idea that a succesful engineering solution (such as a jet plane) need not always mirror faithfully the natural phenomenon which inspired it (the flight of birds).
The task of engineering solutions for linguistic creativity is at present made difficult by an incomplete understanding of how we manage language and how we achieve creativity. Nevertheless, over the past few years a large research effort has been devoted to exploring issues such as computational creativity, automated story telling, or poetry generation. In these cases, there is also a combination of a naturally occurring source phenomenon and a set of engineering techniques that provide an emulation of it.
In this talk I will review a number of such research and development efforts that I have been involved in or studied in detail, paying particular atention to identifying which traits of human activity are being modelled in each case. Assuming these to be the equivalents of bird flight in terms of linguistic creativity, I will go on to explore to what extent this analogy is a valid one, what the differences are between the two cases, and what the analogy might have to say about artificial linguistic creativity if it were valid.
Location
The CALC-10 workshop will be held in conjunction with NAACL HLT 2010 in Los Angeles, on June 5, 2010.
Dates
- Dec 18, 2009: Call for papers
- Extended
Mar 1Mar 8, 2010: Paper submission deadline - Delayed
Mar 30Apr 5, 2010: Notification of acceptance - Apr 12, 2010: Camera-ready paper deadline
- Jun 5, 2010: CALC-10
Schedule
1:30–1:45 Opening remarks
Understanding creative language
1:45–2:10
Automatic conjugation and identification of regular and irregular verb neologisms in Spanish
Luz Rello and Eduardo Basterrechea
2:10–2:35 Mining and Classification of Neologisms in Persian Blogs
Karine Megerdoomian and Ali Hadjarian
2:35–3:00 Comparing Semantic Role Labeling with Typed Dependency Parsing in Computational Metaphor Identification
Eric P. S. Baumer, James P. White and Bill Tomlinson
3:00–3:30 Break
Invited talk
3:00–4:30 Engineering Linguistic Creativity: Bird Flight and Jet Planes
Pablo Gervás
4:30–4:40 Break
Generating creative language
4:40–5:05 An alternate approach towards meaningful lyric generation in Tamil
Ananth Ramakrishnan A and Sobha Lalitha Devi
5:05–5:30 Representing Story Plans in SUMO
Jeffrey Cua, Ruli Manurung, Ethel Ong and Adam Pease
5:30–5:55 Computational Creativity Tools for Songwriters
Burr Settles
5:55–6:00 Closing remarks
Workshop co-chairs
- Paul Cook, University of Toronto (pcook@cs.toronto.edu)
- Anna Feldman, Montclair State University (anna.feldman@montclair.edu)
Program committee
- Kirk Baker, Collexis, Washington, DC
- Roberto Basili, University of Roma, Italy
- Beata Beigman Klebanov, Northwestern University
- Amilcar Cardoso, Coimbra, Portugal
- Mona Diab, Columbia University
- Afsaneh Fazly, Shiraz University, Iran
- Eileen Fitzpatrick, Montclair State University
- Pablo Gervas, Universidad Complutense de Madrid, Spain
- Roxana Girju, University of Illinois at Urbana-Champaign
- Sid Horton, Northwestern University
- Diana Inkpen, University of Ottawa, Canada
- Mark Lee, Birmingham, UK
- Birte Loenneker-Rodman, Across Systems GmbH, Germany
- Xiaofei Lu, Penn State
- Ruli Manurung, University of Indonesia
- Katja Markert, University of Leeds, UK
- Saif Mohammad, National Research Council, Ottawa, Canada
- Anton Nijholt, Twente, The Netherlands
- Ted Pedersen, University of Minnesota in Duluth
- Vasile Rus, The University of Memphis
- Gerard Steen, Vrije Universiteit,The Netherlands
- Juergen Trouvain, Saarland University, Germany
References
Here are some recent papers related to the topics of the CALC-2010 workshop. Also see the papers from CALC-09.
- Bruno Cartoni (2008): "Lexical Resources for Automatic Translation of Constructed Neologisms: the Case Study of Relational Adjectives." In Proceedings of LREC 2008, Marrakech, Morocco, May 28-30, 2008. A paper on a lexical resource for translating neologisms between Italian and French.
- Paul Cook and Suzanne Stevenson (2010). Automatically identifying the source words of lexical blends in English. To appear in Computational Linguistics. An article on automatically inferring the words that are combined to form expressions such as brunch and fantabulous.
- Caroline Émond, Jürgen Trouvain, and Lucie Ménard: "Perception of Smiled French Speech by Native vs. Non-native Listeners: A Pilot Study.' In Proceedings of the Interdisciplinary Workshop on The Phonetics of Laughter, Saarbruecken, Germany, August 4-5, 2007, pages 27-30. A paper on the elicitation and analysis of smiled speech.
- Debora Field and Allan Ramsay (2006): "How to change a person's mind: Understanding the difference between the effects and consequences of speech acts." In Proceedings of the 5th Workshop on Inference in Computational Semantics (ICoS-5), April 20-21, 2006, Buxton, England, pages 27-36. A planner that models bluffing, lying, sarcasm, and other problematic conversational situations.
- Saisuresh Krishnakumaran and Xiaojin Zhu (2007): "Hunting Elusive Metaphors Using Lexical Resources." In Proceedings of the NAACL Workshop on Computational Approaches to Figurative Language, Rochester, New York, April 2007, pages 13--20. A paper on metaphor identification in text documents.
- Ruli Manurung, Graeme Ritchie, Helen Pain, Annalu Waller, Dave O'Mara, and Rolf Black (2008): "The Construction of a Pun Generator for Language Skills Development." Applied Artificial Intelligence 22(9): 841-869.
- Nick Montfort (2006): "Natural Language Generation and Narrative Variation in Interactive Fiction." Paper presented at the Computational Aesthetics Workshop at AAAI 2006, July 16, 2006, Boston, Massachusetts. An interactive fiction architecture, based on the narratological distinction between content and discourse (linguistic expression).
- Ruth O'Donovan and Mary O'Neill (2008). "A Systematic Approach to the Selection of Neologisms for Inclusion in a Large Monolingual Dictionary." In Proceedings of Euralex 2008, Barcelona, Spain, July 15-19, 2008. This paper presents tools supporting the detection and selection of neologisms for inclusion into new dictionary editions.
- Amruta Purandare and Diane Litman (2006). "Humor: Prosody Analysis and Automatic Recognition for F*R*I*E*N*D*S*." In Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, Sydney, Australia, July 22-23, 2006, pages 208--215. Acoustic-prosodic and linguistic features for automatic humor recognition.
- Antoinette Renouf (2007). "Tracing lexical productivity and creativity in the British media: The Chavs and the Chav-Nots." In Munat, Judith (ed.): Lexical Creativity, Texts and Contexts, (= Studies in Functional and Structural Linguistics 58), John Benjamins, pages 61-89. A corpus-based linguistic study of neologisms.
- Mariet Theune, Nanda Slabbers, and Feikje Hielkema (2007): "The Narrator: NLG for digital storytelling." In Proceedings of the Eleventh European Workshop on Natural Language Generation (ENLG 07), June 17-20, 2007, Schloss Dagstuhl, Germany, pages 109-112. An implemented system that expresses formal representations of stories in natural language.
- Hans Wim Tinholt and Anton Nijholt (2007). "Computational Humour: Utilizing Cross-Reference Ambiguity for Conversational Jokes." In F. Masulli, S. Mitra and G. Pasi (eds.): 7th International Workshop on Fuzzy Logic and Applications (WILF 2007), July 7-10, 2007, Camogli (Genova), Italy, (= Lecture Notes in Artificial Intelligence 4578), Springer-Verlag, Berlin, pages 477-483. Distinguishing humorous anaphora ambiguities from nonhumorous ones to generate conversational jokes.
- Tony Veale and Yanfen Hao (2007). "Comprehending and Generating Apt Metaphors: A Web-driven, Case-based Approach to Figurative Language." In Proceedings of AAAI 2007, the 22nd AAAI Conference on Artificial Intelligence, Vancouver, Canada, July 22-26, 2007. The paper presents a system that understands property-attribution metaphors and generates metaphors for a given target.
And here are two papers on intriguing syntactic constructions in English:
- Paul Kay and Charles J. Fillmore (1999). "Grammatical constructions and linguistic generalizations: The What's X doing Y? construction." Language 75/1: 1-33.
- Arnold Zwicky (2002). "I wonder what kind of construction that this example illustrates." In David I. Beaver, Luis D. Casillas Martínez, Brady Z. Clark, and Stefan Kaufmann (eds.), The Construction of Meaning, CSLI Publications, pages 219-248.