Reading List
Many works in NLP and AI have focused on the task of representing the meaning of a piece of text and measuring its similarity with other pieces of text. Task 3 builds upon these objectives by comparing difference scales of text. To help build a foundation for pursuing this objective, we have put together a brief list of recent papers and surveys related to the task. We hope this list may inspire new approaches and spur on discussion.
If you know of a paper that should be added to this list, please let us know: semeval-2014-clss@googlegroups.com!
Papers on Compositionality and Semantic Representations
- M. Baroni, R. Bernardi and R. Zamparelli. To appear. Frege in space: A program for compositional distributional semantics. Linguistic Issues in Language Technologies.
- A. Bordes, X. Glorot, J. Weston and Y. Bengio. Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing. AISTATS 2012.
- Richard Socher, John Bauer, Christopher D. Manning and Andrew Y. Ng. Parsing with Compositional Vector Grammars. Proceedings of Association for Computational Linguistics 2013 Conference (ACL 2013).
- Mike Lewis, Mark Steedman. Combined Distributional and Logical Semantics. Transactions of the ACL 1(May):179−192, 2013.
Papers on Lexical Similarity
- Alexander Budanitsky and Graeme Hirst. Evaluating wordnet-based measures of lexical semantic relatedness. Computational Linguistics 32(1), pp. 13-47. 2006.
- Thomas K Landauer , Susan T. Dumais. A solution to Plato’s problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge, Psychological Review; Psychological Review 104(2):211 (1997)
- Eneko Agirre, Enrique Alfonseca, Keith Hall, Jana Kravalova, Marius Pasca and Aitor Soroa. 2009. A Study on Similarity and Relatedness Using Distributional and WordNet-based Approaches. Proceedings of NAACL-HLT 09. Boulder, USA.
Papers on Multi-level Similarity (but not cross-level)
- Rada Mihalcea, Courtney Corley, Carlo Strapparava, Corpus-based and Knowledge-based Measures of Text Semantic Similarity, in Proceedings of the American Association for Artificial Intelligence (AAAI 2006), Boston, July 2006.
- Aminul Islam, Diana Inkpen,"Semantic Text Similarity using Corpus-Based Word Similarity and String Similarity", ACM Transactions on Knowledge Discovery from Data (TKDD), 2(2), Article 10, 25 pages, July 2008.
- Yazdani M. & Popescu-Belis A. (2013) - Computing Text Semantic Relatedness using the Contents and Links of a Hypertext Encyclopedia. Artificial Intelligence (special issue on AI, Wikipedia and Semi-Structured Resources), vol. 194, p.176-202.
- M. T. Pilehvar, D. Jurgens and R. Navigli. Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity. Proc. of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), Sofia, Bulgaria, August 4-9, 2013, pp. 1341-1351.
- Evgeniy Gabrilovich and Shaul Markovitch. Wikipedia-based Semantic Interpretation for Natural Language Processing. Journal of Artificial Intelligence Research, 34:443-498 2009.
Papers on Krippendorff's alpha
- R. Artstein and M. Poesio. 2008. Inter-coder agreement for computational linguistics. Computational Linguistics, 34(4):555-596.