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1
StructSum: Summarization via Structured Representations ...
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2
Harnessing Code Switching to Transcend the Linguistic Barrier ...
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3
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework ...
Wang, Zirui; Xie, Jiateng; Xu, Ruochen. - : arXiv, 2019
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4
Learning Rhyming Constraints using Structured Adversaries ...
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5
Language Technologies for Humanitarian Aid ...
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6
Language Technologies for Humanitarian Aid ...
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7
Active Semi-Supervised Learning for Improving Word Alignment ...
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8
Active Semi-Supervised Learning for Improving Word Alignment ...
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9
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations ...
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10
An Efficient Interlingua Translation System for Multi-lingual Document Production ...
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11
ParaMor: Finding Paradigms across Morphology ...
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12
ParaMor: Minimally-Supervised Induction of Paradigm Structure and Morphological Analysis ...
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13
ParaMor: Finding Paradigms across Morphology ...
Abstract: Our algorithm, ParaMor, fared well in Morpho Challenge 2007 (Kurimo et al., 2007), a peer operated competition pitting against one another algorithms designed to discover the morphological structure of natural languages from nothing more than raw text. ParaMor constructs sets of affixes closely mimicking the paradigms of a language, and, with these structures in hand, annotates word forms with morpheme boundaries. Of the four language tracks in Morpho Challenge 2007, we entered ParaMor in English and German. Morpho Challenge 2007 evaluated systems on their precision, recall, and balanced F 1 at identifying morphological processes, whether those processes mark derivational morphology or inflectional features. In English, ParaMor’s balanced precision and recall outperform at F 1 an already sophisticated baseline induction algorithm, Morfessor (Creutz, 2006). ParaMor placed fourth in English overall. In German, ParaMor suffers from a low morpheme recall. But combining ParaMor’s analyses with analyses from ...
Keyword: 89999 Information and Computing Sciences not elsewhere classified; FOS Computer and information sciences
URL: https://figshare.com/articles/ParaMor_Finding_Paradigms_across_Morphology/6608282/1
https://dx.doi.org/10.1184/r1/6608282.v1
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14
ParaMor: Finding Paradigms across Morphology ...
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15
ParaMor: Finding Paradigms across Morphology ...
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16
Neural Cross-Lingual Named Entity Recognition with Minimal Resources ...
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17
Zero-shot Neural Transfer for Cross-lingual Entity Linking ...
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18
Anaphora Resolution: A Multi-Strategy Approach, ...
Carbonell, Jaime G.; Brown, Ralf D.. - : Figshare, 2018
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19
Anaphora Resolution: A Multi-Strategy Approach ...
Carbonell, Jaime G.; Brown, Ralf D. - : Figshare, 2018
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20
Anaphora Resolution: A Multi-Strategy Approach, ...
Carbonell, Jaime G.; Brown, Ralf D.. - : Figshare, 2018
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