Natural Language Processing (Computational Linguistics)
A Heuristic Approach to Natural Language Processing
... 1965 International Conference on Computational Linguistics A Heuristic Approach to Natural Language Processing 18 "1965 International Conference on Computational Linguistics" A Heuristic Approach to N[.] ...
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Natural Language Processing in LISP: An Introduction to Computational Linguistics; Natural Language Processing in POP 11: An Introduction to Computational Linguistics; Natural Language Processing in Prolog: An Introduction to Computational Linguistics
... Book Reviews Natural Language Processing in LISP, POP-11, and PROLOG.. There can be little doubt, on the other hand, about the importance and value of the kind of research reported in th[r] ...
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Subjective Natural Language Problems: Motivations, Applications, Characterizations, and Implications
... from computational approaches to ...subjective natural language problems from different ...subjective natural language processing prob- lems are by providing a few illustrative ...
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Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Student Research Workshop and Doctoral Consortium
... in Computational Linguistics, Natural Language Processing, and Human Language Technologies to present their work and receive feedback from the ...
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... Founded in 1962, the Association for Computational Linguistics ACL is the primary scientific and professional society for natural language processing research and applications.. A Europe[r] ...
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... Founded in 1962, the Association for Computational Linguistics ACL is the primary scientific and professional society for natural language processing research and applications.. A Europe[r] ...
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Books Received
... Computational linguistics: An introduction Studies in natural language processing Cambridge, England: Cambridge University Press,.. tGunji, Takao [Faculty of Language and Culture, Osaka [r] ...
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Last Words: Computational Linguistics: What About the Linguistics?
... Applied Language Analysis, and by the accounts of early research, for example by Plath and Yngve in Booth’s 1967 machine translation ...useful computational line and Woods’s Augmented Transition Networks ...
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Inter sentence Relation Extraction with Document level Graph Convolutional Neural Network
... In Proceedings of the Annual Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing, pages 626–634.. Association f[r] ...
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HEAD QA: A Healthcare Dataset for Complex Reasoning
... In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 93–104, Brussels, Belgium.. Association for Computational Linguistics..[r] ...
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Adel, Heike (2018): Deep learning methods for knowledge base population. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik
... Chapter 4 described our work on uncertainty detection. Uncertainty detection ad- dresses the challenge of identifying a sentence or a phrase as a fact (certain) vs. as an unspecific, speculative, subjective or ambiguous ...
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A Corpus of Corporate Annual and Social Responsibility Reports: 280 Million Tokens of Balanced Organizational Writing
... We used the pdf2text software by glyphand- cog.com to extract plain text from the collected PDF files. In general, this software extracts text with sufficient quality. However, the final result depends heavily on the ...
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Machine Translation Evaluation Meets Community Question Answering
... Alon Lavie and Michael Denkowski. 2009. The ME- TEOR metric for automatic evaluation of machine translation. Machine Translation, 23(2–3):105–115. Tao Lei, Hrishikesh Joshi, Regina Barzilay, Tommi S. Jaakkola, Kateryna ...
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Neural Coreference Resolution with Limited Lexical Context and Explicit Mention Detection for Oral French
... Our architecture is mostly an adaptation of the version of E2EC presented by K. Lee et al. (2018), modified to address the difficulty of applying it to other paradigms, which is mainly due to two factors. The first one ...
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Head Driven Phrase Structure Grammar Parsing on Penn Treebank
... Each node in the HPSG tree noted as AVM repre- sents compound structure. Even in our simplified HPSG, each phrase (span) should be companied with its head. To facilitate the processing of ex- isting parsers, we ...
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Squibs: Towards a Catalogue of Linguistic Graph Banks
... in natural language parsing traditionally have been trees, in the formal sense that every node is reachable from a distinguished root node by exactly one directed ...in processing structures where ...
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From Shakespeare to Twitter: What are Language Styles all about?
... in computational linguistics that directly deals with language styles, rewriting regular texts into sim- pler versions for people with limited reading ca- ...
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Neural Relation Extraction for Knowledge Base Enrichment
... Previous studies on relation extraction have employed both unsupervised and supervised ap- proaches. Unsupervised approaches typically start with a small set of manually defined extraction patterns to detect entity names ...
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Specifications for a Tree Processing Language
... 1965 International Conference on Computational Linguistics SPECIFICATIONS FOR A TREE PROCESSING LANGUAGE 26 1965 International Conference on Computational Linguistics SPECIFICATIONS FOR A TREE PROCESS[.] ...
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Role Semantics for Better Models of Implicit Discourse Relations
... a computational perspective, it has been shown that recognizing discourse relations can be performed with high accuracy when explicit discourse markers are available (Pitler et ...
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