[PDF] Top 20 Proceedings of the Eight Workshop on Cognitive Aspects of Computational Language Learning and Processing
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Proceedings of the Eight Workshop on Cognitive Aspects of Computational Language Learning and Processing
... process language has long attracted interest and generated much debate due to the apparent ease with which such a complex and dynamic system is learnt and used on the face of ambiguity, noise and ...second ... See full document
12
Proceedings of the 5th Workshop on Cognitive Aspects of Computational Language Learning (CogACLL)
... machine learning methods to natural language processing ...and language processing tasks, including ...of computational learning methods for research on human ... See full document
10
Proceedings of the 7th Workshop on Cognitive Aspects of Computational Language Learning
... machine learning methods to natural language processing ...and language processing tasks, including ...of computational learning methods for research on human ... See full document
12
Proceedings of the Sixth Workshop on Cognitive Aspects of Computational Language Learning
... chine learning methods to natural language processing ...and language processing tasks, including ...of computational learning methods for re- search on human ... See full document
12
Proceedings of the 2nd Workshop on Cognitive Aspects of the Lexicon
... Many lexicographers work nowadays with huge digital corpora, using language technology to build and to maintain the lexicon. But access to the potential wealth of information in dictionaries remains limited for ... See full document
8
Proceedings of the 8th Workshop on NLP for Computer Assisted Language Learning
... the processing tools are also regularly updated, which can lead to different results for the same processing ...FAIR language learner corpora, he first investigated CMC corpora, which resemble ... See full document
9
Proceedings of the Third Workshop on Natural Language Processing and Computational Social Science
... We received 36 submissions, and due to a rigorous review process by our committee, we accepted 12 archival entries, and 2 non-archival abstracts. The program this year includes 6 papers presented as spotlight talks, and ... See full document
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Proceedings of the 4th Workshop on Cognitive Aspects of the Lexicon (CogALex)
... vocabulary learning is understandably not a hot topic in computational linguistics, it is never- theless an important aspect of language learning, both in the mother tongue and in a foreign ... See full document
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Proceedings of the Workshop on Computational Models of Language Acquisition and Loss
... machine learning methods to speech and natural language ...of computational learning methods for research on human language acquisition and ...process language has long attracted ... See full document
10
Proceedings of the Workshop on Extra Propositional Aspects of Meaning in Computational Linguistics
... Natural Language Processing (NLP) has focused predominantly on propositional aspects of meaning, such as extracting factual information about who did what to ...understanding language fully ... See full document
10
Proceedings of the Workshop on Figurative Language Processing
... Figurative language processing is a rapidly growing area in Natural Language Processing (NLP), including processing of metaphors, idioms, puns, irony, sarcasm, as well as other ... See full document
12
Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics
... the Cognitive Modeling and Computational Linguistics workshop has served as a unique venue for research at the intersection of cognitive science and natural language ...formalisms; ... See full document
12
Proceedings of the EACL 2009 Workshop on Cognitive Aspects of Computational Language Acquisition
... and cognitive scientists. The aim of this workshop is thus to bring together researchers from the diverse fields of NLP, machine learning, artificial intelligence, linguistics, psycho-linguistics, ... See full document
12
Geolocation with Attention Based Multitask Learning Models
... Pre-processing and feature selection We pre- process the text by converting it to lowercase, re- moving URLs and stop-words. We reduce num- bers to 0, except for those appearing in mentions (e.g., @abc123). In ... See full document
7
Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization
... An alternative path to semantic interpretation follows the distributional hypothesis (Harris, 1954). Recently, word vector representations learned with neural-network based language models have con- tributed to ... See full document
13
Using mention accessibility to improve coreference resolution
... explicitly learning separate ...by learning a model over three versions of each base feature: unprefixed, conjoined with the type of the current mention, and conjoined with concatenation of the types of the ... See full document
6
Unsupervised Learning of Morphology
... In Andreev (1965b) the method is tested extensively on Russian, which is the subject of several papers in the volume, and a number of other languages: Albanian (Peršikov 1965), Armenian (Melkumjan 1965), Bulgarian ... See full document
42
Chinese Named Entity Recognition and Word Segmentation Based on Character
... Chinese word segmentation and named entity recognition (NER) are both important tasks in Chinese information processing. This paper presents a character-based Conditional Random Fields (CRFs) model for such two ... See full document
5
Learning with learner corpora: Using the TLE for native language identification
... English language test, TOEFL (Test of English as a Foreign Language) (Blanchard et ...11 language backgrounds are included in the corpus: Arabic, German, French, Hindi, Ital- ian, Japanese, Korean, ... See full document
7
Revita: a system for language learning and supporting endangered languages
... Vocabulary learning in general and vocabulary learning with help of computers was studied, ...1996). Learning new words in context is more preferable than learning words in isolation— see ... See full document
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