Elamur Research
☰
home / papers / Corpus Statistics Meet the Noun Compound: Some… / cited by

Who cites «Corpus Statistics Meet the Noun Compound: Some Empirical Results»

32 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

  1. Willkommens-Merkel, Chaos-Johnson, and Tore-Klose: Modeling the Evaluative Meaning of German Personal Name Compounds — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  2. Is ``My Favorite New Movie'' My Favorite Movie? Probing the Understanding of Recursive Noun Phrases — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  3. On Why Coarse Class Classification is Bottleneck in Noun Compound Interpretation — 2016 · Proceedings of the 13th International Conference on Natural Language Processing
  4. A Hybrid Approach for Bracketing Noun Sequence — 2015 · Proceedings of the 12th International Conference on Natural Language Processing
  5. Uncovering Noun-Noun Compound Relations by Gamification — 2015 · Proceedings of the 20th Nordic Conference of Computational Linguistics (NODALIDA 2015)
  6. Linked Open Data and Web Corpus Data for noun compound bracketing — 2014 · Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
  7. Multiword noun compound bracketing using Wikipedia — 2014 · Proceedings of the First Workshop on Computational Approaches to Compound Analysis (ComAComA 2014)
  8. Automatic Interpretation of the English Possessive — 2013 · Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  9. Fish Transporters and Miracle Homes: How Compositional Distributional Semantics can Help NP Parsing — 2013 · Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing
  10. SFS-TUE: Compound Paraphrasing with a Language Model and Discriminative Reranking — 2013 · Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)
  11. An Unsupervised Ranking Model for Noun-Noun Compositionality — 2012 · *SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012)
  12. Semi-Supervised Noun Compound Analysis with Edge and Span Features — 2012 · Proceedings of COLING 2012
  13. Exploiting Web-Derived Selectional Preference to Improve Statistical Dependency Parsing — 2011 · Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies
  14. Using Large Monolingual and Bilingual Corpora to Improve Coordination Disambiguation — 2011 · Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies
  15. Web-Scale Features for Full-Scale Parsing — 2011 · Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies
  16. Automatic Acquisition of Chinese Novel Noun Compounds — 2010 · Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)
  17. Creating Robust Supervised Classifiers via Web-Scale N-Gram Data — 2010 · Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
  18. Using Web-scale N-grams to Improve Base NP Parsing Performance — 2010 · Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)
  19. Automatic identification of semantic relations in Italian complex nominals — 2009 · Proceedings of the Eighth International Conference on Computational Semantics
  20. Identifying Semantic Relations in Context: Near-misses and Overlaps — 2009 · Proceedings of the International Conference RANLP-2009
  21. The Syntax and Semantics of Prepositions in the Task of Automatic Interpretation of Nominal Phrases and Compounds: A Cross-Linguistic Study — 2009 · Computational Linguistics
  22. Determining the Syntactic Structure of Medical Terms in Clinical Notes — 2007 · Biological, translational, and clinical language processing
  23. Experiments with an Annotation Scheme for a Knowledge-rich Noun Phrase Interpretation System — 2007 · Proceedings of the Linguistic Annotation Workshop
  24. Improving the Interpretation of Noun Phrases with Cross-linguistic Information — 2007 · Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics
  25. Learning Noun Phrase Query Segmentation — 2007 · Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)
  26. UCB System Description for the WMT 2007 Shared Task — 2007 · Proceedings of the Second Workshop on Statistical Machine Translation
  27. Disambiguation of Morphological Structure using a PCFG — 2005 · Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing
  28. The Web as a Baseline: Evaluating the Performance of Unsupervised Web-based Models for a Range of NLP Tasks — 2004 · Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics: HLT-NAACL 2004
  29. A Deterministic Method for Structural Analysis of Compound Words in Japanese — 2001 · Proceedings of the 16th Pacific Asia Conference on Language, Information and Computation
  30. Corpus-Based Approach for Nominal Compound Analysis for Korean Based on Linguistic and Statistical Information — 1999 · 1999 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora
  31. Semi-Automatic Recognition of Noun Modifier Relationships — 1998 · 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, Volume 1
  32. What makes a word: Learning base units in Japanese for speech recognition — 1997 · CoNLL97: Computational Natural Language Learning