Text segmentation

Angheluta, Roxana, Rik De Busser, and Marie-Francine Moens. "The use of topic segmentation for automatic summarization." Proceedings of the ACL-2002 post-conference workshop on automatic summarization. 2002.PDF
Beeferman D, Berger A, Lafferty J. Statistical models for text segmentation[J]. Machine learning, 1999, 34(1-3): 177-210.PDF
Carlson L, Marcu D, Okurowski M E. Building a discourse-tagged corpus in the framework of rhetorical structure theory[M]. Springer Netherlands, 2003.PDF
Carroll, Lucien. "Evaluating hierarchical discourse segmentation." Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics. Association for Computational Linguistics, 2010.PDF
Choi F Y Y. Advances in domain independent linear text segmentation[C]//Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference. Association for Computational Linguistics, 2000: 26-33.PDF
Choi, Freddy YY, Peter Wiemer-Hastings, and Johanna Moore. "Latent semantic analysis for text segmentation." In Proceedings of EMNLP. 2001.PDF
Eisenstein, Jacob. "Hierarchical text segmentation from multi-scale lexical cohesion." Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics. Association for Computational Linguistics, 2009.PDF
Filippova, Katja, and Michael Strube. "Using linguistically motivated features for paragraph boundary identification." Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2006.<PDF
Hearst, M. A. (1997). TextTiling: Segmenting text into multi-paragraph subtopic passages. Computational Linguistics, 23, 33-64.PDF
Joty S R, Carenini G, Ng R T, et al. Combining Intra-and Multi-sentential Rhetorical Parsing for Document-level Discourse Analysis[C]//ACL (1). 2013: 486-496PDF
Kazantseva A, Szpakowicz S. Topical Segmentation: a study of human performance and a new measure of quality[C]//Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, 2012: 211-220.PDF
Malioutov, Igor, and Regina Barzilay. "Minimum cut model for spoken lecture segmentation." Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics. Association for Computational Linguistics, 2006. PDF
Marcu, Daniel. "The rhetorical parsing of unrestricted texts: A surface-based approach." Computational Linguistics 26.3 (2000): 395-448. PDF
William M, Thompson S. Rhetorical structure theory: Towards a functional theory of text organization[J]. Text, 1988, 8(3): 243-281. PDF
Passonneau, R. J., & Litman, D. J. (1997). Discourse Segmentation by Human and Automated Means. Computational Linguistics, 23, 103-139. PDF
Pevzner, Lev, and Marti A. Hearst. "A critique and improvement of an evaluation metric for text segmentation." Computational Linguistics 28.1 (2002): 19-36. PDF
Reynar, Jeffrey C. "Statistical models for topic segmentation." Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics. Association for Computational Linguistics, 1999. PDF
Riedl M, Biemann C. How text segmentation algorithms gain from topic models[C]//Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, 2012: 553-557. PDF
Yaari, Yaakov. "Segmentation of expository texts by hierarchical agglomerative clustering." In Proceedings o/RANLP'97. Bulgaria(1997). PDF

Grammar error detection

Bender, Emily M., et al. "Arboretum: Using a precision grammar for grammar checking in CALL." InSTIL/ICALL Symposium 2004. 2004. PDF
Connors, Robert J., and Andrea A. Lunsford. "Frequency of formal errors in current college writing, or Ma and Pa Kettle do research." College Composition and Communication (1988): 395-409. PDF
Chodorow M, Leacock C. An unsupervised method for detecting grammatical errors[C]//Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference. Association for Computational Linguistics, 2000: 140-147. PDF
Dahlmeier D, Ng H T, Wu S M. Building a large annotated corpus of learner English: The NUS corpus of learner English[C]//Proceedings of the Eighth Workshop on Innovative Use of NLP for Building Educational Applications. 2013: 22-31. PDF
Dale R, Kilgarriff A. Helping our own: The HOO 2011 pilot shared task[C]//Proceedings of the 13th European Workshop on Natural Language Generation. Association for Computational Linguistics, 2011: 242-249. PDF
Foster, Jennifer, and Eistein E. Andersen. "GenERRate: generating errors for use in grammatical error detection." Proceedings of the fourth workshop on innovative use of nlp for building educational applications. Association for Computational Linguistics, 2009. PDF
Gamon M. High-order sequence modeling for language learner error detection[C]//Proceedings of the 6th Workshop on Innovative Use of NLP for Building Educational Applications. Association for Computational Linguistics, 2011: 180-189. PDF
Gamon M, Leacock C. Search right and thou shalt find...: using web queries for learner error detection[C]//Proceedings of the NAACL HLT 2010 Fifth Workshop on Innovative Use of NLP for Building Educational Applications. Association for Computational Linguistics, 2010: 37-44. PDF
Han N R, Chodorow M, Leacock C. Detecting errors in English article usage by non-native speakers[J]. Natural Language Engineering, 2006, 12(02): 115-129. Heinecke, Johannes, et al. "Eliminative parsing with graded constraints."Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics-Volume 1. Association for Computational Linguistics, 1998. PDF
Leacock, Claudia, et al. "Automated grammatical error detection for language learners." Synthesis lectures on human language technologies 3.1 (2010): 1-134. PDF
Madnani, Nitin, et al. "They can help: using crowdsourcing to improve the evaluation of grammatical error detection systems." Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers-Volume 2. Association for Computational Linguistics, 2011. PDF
Maruyama, Hiroshi. "Structural disambiguation with constraint propagation."Proceedings of the 28th annual meeting on Association for Computational Linguistics. Association for Computational Linguistics, 1990. PDF
Menzel, Wolfgang. "Error diagnosing and selection in a training system: for second language learning." Proceedings of the 12th conference on Computational linguistics-Volume 2. Association for Computational Linguistics, 1988. PDF
Nazar R, Renau I. Google books n-gram corpus used as a grammar checker[C]//Proceedings of the Second Workshop on Computational Linguistics and Writing (CLW 2012): Linguistic and Cognitive Aspects of Document Creation and Document Engineering. Association for Computational Linguistics, 2012: 27-34 PDF
Nicholls D. The Cambridge Learner Corpus: Error coding and analysis for lexicography and ELT[C]//Proceedings of the Corpus Linguistics 2003 conference. 2003: 572-581. PDF
Park Y A, Levy R. Automated whole sentence grammar correction using a noisy channel model[C]//Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies-Volume 1. Association for Computational Linguistics, 2011: 934-944 PDF
Rozovskaya A, Roth D. Annotating ESL errors: Challenges and rewards[C]//Proceedings of the NAACL HLT 2010 fifth workshop on innovative use of NLP for building educational applications. Association for Computational Linguistics, 2010: 28-36. PDF
Schneider, David, and Kathleen F. McCoy. "Recognizing syntactic errors in the writing of second language learners." Proceedings of the 17th international conference on Computational linguistics-Volume 2. Association for Computational Linguistics, 1998. PDF
Sun G, Liu X, Cong G, et al. Detecting erroneous sentences using automatically mined sequential patterns[C]//Annual Meeting-Association for Computational Linguistics. 2007, 45(1): 81. PDF
Tetreault J R, Chodorow M. Native judgments of non-native usage: Experiments in preposition error detection[C]//Proceedings of the Workshop on Human Judgements in Computational Linguistics. Association for Computational Linguistics, 2008: 24-32. PDF
Tetreault J, Foster J, Chodorow M. Using parse features for preposition selection and error detection[C]//Proceedings of the ACL 2010 Conference Short Papers. Association for Computational Linguistics, 2010: 353-358. PDF
Yannakoudakis H, Briscoe T, Medlock B. A new dataset and method for automatically grading ESOL texts[C]//Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies-Volume 1. Association for Computational Linguistics, 2011: 180-189. PDF

Aspect-based sentiment analysis

Brody, S. and S. Elhadad. An unsupervised aspect-sentiment model for online reviews. In Proceedings of The 2010 Annual Conference of the North American Chapter of the ACL, 2010. PDF
Hai, Zhen, Kuiyu Chang, and Jung-jae Kim. "Implicit feature identification via co-occurrence association rule mining." Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2011. 393-404. PDF
Hu, M., & Liu, B. (2004). Mining and summarizing customer reviews. In Proceedings of the 2004 ACM SIGKDD international conference on Knowledge discovery and data mining - KDD 04 (p. 168). New York, New York, USA: ACM Press. doi:10.1145/1014052.1014073. PDF
Jakob N, Gurevych I. Extracting opinion targets in a single-and cross-domain setting with conditional random fields[C]//Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2010: 1035-1045. PDF
Jin W, Ho H H. A novel lexicalized HMM-based learning framework for web opinion mining[C]//Proceedings of the 26th Annual International Conference on Machine Learning. 2009: 465-472. PDF
Liheng Xu, Kang Liu, Siwei Lai, Yubo Chen, Jun Zhao: Mining Opinion Words and Opinion Targets in a Two-Stage Framework. ACL (1) 2013: 1764-1773 PDF
Liu, Bing. "Sentiment analysis and opinion mining." Synthesis Lectures on Human Language Technologies 5.1 (2012): 1-167. PDF
Mukherjee, Arjun, and Bing Liu. "Aspect extraction through semi-supervised modeling." Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers-Volume 1. Association for Computational Linguistics, 2012. PDF
Pontiki, Maria, et al. "Semeval-2014 task 4: Aspect based sentiment analysis." Proceedings of SemEval, Dublin, Ireland (2014). PDF
Somasundaran S, Wiebe J. Recognizing stances in online debates[C]//Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1-Volume 1. Association for Computational Linguistics, 2009: 226-234. PDF
Somasundaran, Swapna, Janyce Wiebe, and Josef Ruppenhofer. "Discourse level opinion interpretation." Proceedings of the 22nd International Conference on Computational Linguistics-Volume 1. Association for Computational Linguistics, 2008. PDF
Titov, I., & McDonald, R. (2008). Modeling online reviews with multi-grain topicmodels. In Proceeding of the 17th international conference on World Wide Web - WWW'08 (p. 111). New York, New York, USA: ACM Press. doi:10.1145/1367497.1367513 PDF
Titov I, McDonald R T. A Joint Model of Text and Aspect Ratings for Sentiment Summarization[C]//ACL. 2008, 8: 308-316. Method 4: Supervised learning methods PDF
Yang, B.,& Cardie, C. (2013). Joint inference for fine-grained opinion extraction. In Proceedings of ACL. PDF
Zhao, W., J. Jiang, H. Yan, and X. Li. Jointly modeling aspects and opinions with a MaxEnt-LDA hybrid In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2010), 2010. PDF