2017 Proceedingsofthe11thInternation

(Bethard et al., 2017) ⇒ Steven Bethard, Marine Carpuat, Marianna Apidianaki, Saif M. Mohammad, Daniel M. Cer, and David Jurgens. (2017). “Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval ACL 2017)".

Subject Headings: SemEval-2017, Semantic Textual Similarity; Semantic Word Similarity; Question Answering; Sentiment Analysis; Parsing Semantic Structure

Notes

Online Resource(s):
- Website: https://alt.qcri.org/semeval2017/
- ACL Anthology: https://www.aclweb.org/anthology/S17-2000/

Cited By

Google Scholar: ~1+ Citations.
MS Academic ~ 12+Citations.

Quotes

Welcome to SemEval-2017

The Semantic Evaluation (SemEval) series of workshops focuses on the evaluation and comparison of systems that can analyse diverse semantic phenomena in text with the aim of extending the current state of the art in semantic analysis and creating high quality annotated datasets in a range of increasingly challenging problems in natural language semantics. SemEval provides an exciting forum for researchers to propose challenging research problems in semantics and to build systems / techniques to address such research problems.

SemEval-2017 is the eleventh workshop in the series of International Workshops on Semantic Evaluation. The first three workshops, SensEval-1 (1998), SensEval-2 (2001), and SensEval-3 (2004), focused on word sense disambiguation, each time growing in the number of languages offered, in the number of task]]s, and also in the number of participating teams. In 2007, the workshop was renamed to SemEval, and the subsequent SemEval workshops evolved to include semantic analysis tasks beyond word sense disambiguation. In 2012, SemEval turned into a yearly event. It currently runs every year, but on a two-year cycle, i.e., the tasks for SemEval-2017 were proposed in 2016.

SemEval-2017 was co-located with the 55th annual meeting of the Association for Computational Linguistics (ACL’2017) in Vancouver, Canada. It included the following 12 shared tasks organized in three tracks:

Semantic comparison for words and texts

Task 1: Semantic Textual Similarity.
Task 2: Multi-lingual and Cross-lingual Semantic Word Similarity.
Task 3: Community Question Answering

Detecting sentiment, humor, and truth

Task 4: Sentiment Analysis in Twitter.
Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News.
Task 6: #HashtagWars: Learning a Sense of Humor
Task 7: Detection and Interpretation of English Puns
Task 8: RumourEval: Determining rumour veracity and support for rumours

Parsing semantic structures

Task 9: Abstract Meaning Representation Parsing and Generation.
Task 10: Extracting Keyphrases and Relations from Scientific Publications
Task 11: End-User Development using Natural Language.
Task 12: Clinical TempEval

This volume contains both Task Description papers that describe each of the above tasks and System Description papers that describe the systems that participated in the above tasks. A total of 12 task description papers and 169 system description papers are included in this volume.

We are grateful to all task organizers as well as the large number of participants whose enthusiastic participation has made SemEval once again a successful event. We are thankful to the task organizers who also served as area chairs, and to task organizers and participants who reviewed paper submissions. These proceedings have greatly benefited from their detailed and thoughtful feedback. We also thank the ACL 2017 conference organizers for their support. Finally, we most gratefully acknowledge the support of our sponsor, the ACL Special Interest Group on the Lexicon (SIGLEX).

The SemEval-2017 organizers,

Steven Bethard, Marine Carpuat, Marianna Apidianaki, Saif M. Mohammad, Daniel Cer, David Jurgens

Organizing Committee

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Research Papers

Task 1: Semantic Textual Similarity

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Task 2: Multi-lingual and Cross-lingual Semantic Word Similarity

Task 3: Community Question Answering

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Task 4: Sentiment Analysis in Twitter

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Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News

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Task 6: #HashtagWars: Learning a Sense of Humor

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Task 7: Detection and Interpretation of English Puns

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Task 8: RumourEval: Determining Rumour Veracity and Support for Rumours

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Task 9: Abstract Meaning Representation Parsing and Generation

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Task 10: Extracting Keyphrases and Relations from Scientific Publications

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Task 11: End-User Development using Natural Language

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Task 12: Clinical TempEval

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BibTeX

@proceedings{2017_Proceedingsofthe11thInternation,
  editor    = {Steven Bethard and
               Marine Carpuat and
               Marianna Apidianaki and
               Saif M. Mohammad and
               Daniel M. Cer and
               David Jurgens},
  title     = {Proceedings of the 11th International Workshop on Semantic Evaluation
               (SemEval ACL 2017), Vancouver, Canada, August 3-4, 2017},
  publisher = {Association for Computational Linguistics},
  year      = {2017},
  url       = {https://www.aclweb.org/anthology/volumes/S17-2/},
}

	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2017 Proceedingsofthe11thInternation	David Jurgens Steven Bethard Marine Carpuat Marianna Apidianaki Saif M. Mohammad Daniel M. Cer			Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval@ACL 2017)						2017