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Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models ...
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Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models ...
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MimicProp: Learning to Incorporate Lexicon Knowledge into Distributed Word Representation for Social Media Analysis
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In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 14 (2020): Fourteenth International AAAI Conference on Web and Social Media; 738-749 ; 2334-0770 ; 2162-3449 (2020)
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Report on EMNLP Reviewer Survey
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In: https://hal.archives-ouvertes.fr/hal-01660886 ; [Technical Report] Association for computational linguistics. 2017 (2017)
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Heuristic Sample Selection to Minimize Reference Standard Training Set for a Part-Of-Speech Tagger
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Breaking the Resource Bottleneck for Multilingual Parsing
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In: DTIC AND NTIS (2005)
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Evaluating Translational Correspondence Using Annotation Projection
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In: DTIC (2003)
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Evaluating Translational Correspondence using Annotation Projection
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Abstract:
Recently, statistical machine translation models have begun to take advantage of higher level linguistic structures such as syntactic dependencies. Underlying these models is an assumption about the directness of translational correspondence between sentences in the two languages; however, the extent to which this assumption is valid and useful is not well understood. In this paper, we present an empirical study that quantifies the degree to which syntactic dependencies are preserved when parses are projected directly from English to Chinese. Our results show that although the direct correspondence assumption is often too restrictive, a small set of principled, elementary linguistic transformations can boost the quality of the projected Chinese parses by 76\% relative to the unimproved baseline. UMIACS-TR-2003-25 LAMP-TR-100
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URL: http://hdl.handle.net/1903/1267
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Improved Word-Level Alignment: Injecting Knowledge about MT Divergences
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In: DTIC (2002)
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Word-level Alignment for Multilingual Resource Acquisition
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In: DTIC (2002)
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On Minimizing Training Corpus for Parser Acquisition
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In: DTIC (2001)
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Supervised Grammar Induction Using Training Data with Limited Constituent Information ...
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