Abstract is missing.
- Frontmatter [doi]
- Metaphor Detection in a Poetry CorpusVaibhav Kesarwani, Diana Inkpen, Stan Szpakowicz, Chris Tanasescu. 1-9 [doi]
- Machine Translation and Automated Analysis of the Sumerian LanguageÉmilie Pagé-Perron, Maria Sukhareva, Ilya Khait, Christian Chiarcos. 10-16 [doi]
- Investigating the Relationship between Literary Genres and Emotional Plot DevelopmentEvgeny Kim, Sebastian Padó, Roman Klinger. 17-26 [doi]
- Enjambment Detection in a Large Diachronic Corpus of Spanish SonnetsPablo Ruiz 0001, Clara Martínez Cantón, Thierry Poibeau, Elena González-Blanco. 27-32 [doi]
- Plotting Markson's "Mistress"Conor Kelleher, Mark T. Keane. 33-39 [doi]
- Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low GermanNina Seemann, Marie-Luis Merten, Michaela Geierhos, Doris Tophinke, Eyke Hüllermeier. 40-45 [doi]
- Phonological Soundscapes in Medieval PoetryChristopher Hench. 46-56 [doi]
- An End-to-end Environment for Research Question-Driven Entity Extraction and Network AnalysisAndré Blessing, Nora Echelmeyer, Markus John, Nils Reiter. 57-67 [doi]
- Modeling intra-textual variation with entropy and surprisal: topical vs. stylistic patternsStefania Degaetano-Ortlieb, Elke Teich. 68-77 [doi]
- Finding a Character's Voice: Stylome Classification on Literary CharactersLiviu P. Dinu, Ana Sabina Uban. 78-82 [doi]
- An Ontology-Based Method for Extracting and Classifying Domain-Specific Compositional Nominal CompoundsMaria Pia di Buono. 83-88 [doi]
- Speeding up corpus development for linguistic research: language documentation and acquisition in Romansh TuatschinGéraldine Walther, Benoît Sagot. 89-94 [doi]
- Distantly Supervised POS Tagging of Low-Resource Languages under Extreme Data Sparsity: The Case of HittiteMaria Sukhareva, Francesco Fuscagni, Johannes Daxenberger, Susanne Görke, Doris Prechel, Iryna Gurevych. 95-104 [doi]
- A Dataset for Sanskrit Word SegmentationAmrith Krishna, Pavan Kumar Satuluri, Pawan Goyal. 105-114 [doi]
- Lexical Correction of Polish Twitter Political DataMaciej Ogrodniczuk, Mateusz Kopec. 115-125 [doi]