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Polyglot Semantic Role Labeling
[article]
2018
arXiv
pre-print
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We experiment with a new approach where we combine resources from a pair of languages in the CoNLL 2009 shared task to build a polyglot semantic role labeler. ...
Analysis of the polyglot model shows it to be advantageous in lower-resource settings. ...
Inspired by this, we apply the idea of training one model on multiple languages-which we call polyglot trainingto PropBank-style semantic role labeling (SRL). ...
arXiv:1805.11598v1
fatcat:6umi2cq7i5f6nma4ttxqinows4
Polyglot Semantic Role Labeling
2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
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., 2009) to build a polyglot semantic role labeler. ...
Analysis of the polyglot model shows it to be advantageous in lower-resource settings. ...
Inspired by this, we apply the idea of training one model on multiple languages-which we call polyglot trainingto PropBank-style semantic role labeling (SRL). ...
doi:10.18653/v1/p18-2106
dblp:conf/acl/MulcaireSS18
fatcat:rbdnpaowu5fpfk4l2fzzje353a
CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling
[article]
2020
arXiv
pre-print
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Semantic role labeling (SRL) identifies predicate-argument structure(s) in a given sentence. ...
Meanwhile, despite the dissimilarity in argument annotations between languages, certain argument labels do share common semantic meaning across languages (e.g. adjuncts have more or less similar semantic ...
Semantic Role Labeler Our role labeler consists of Multi-Layer Perceptron (MLP) layers with highway connections (Srivastava et al., 2015) . ...
arXiv:2011.04732v1
fatcat:hrop2bxfhjephm5ojb6zfudphq
Polyglot Contextual Representations Improve Crosslingual Transfer
[article]
2019
arXiv
pre-print
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We produce language models from dissimilar language pairs (English/Arabic and English/Chinese) and use them in dependency parsing, semantic role labeling, and named entity recognition, with comparisons ...
Our results provide further evidence for the benefits of polyglot learning, in which representations are shared across multiple languages. ...
Semantic Role Labeling We use a strong existing model based on BIO tagging on top of a deep interleaving BiLSTM with highway connections (He et al., 2017) . ...
arXiv:1902.09697v2
fatcat:pbn2muy3qbecjhkb3w7hj5ysea
Polyglot Contextual Representations Improve Crosslingual Transfer
2019
Proceedings of the 2019 Conference of the North
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We produce language models from dissimilar language pairs (English/Arabic and English/Chinese) and use them in dependency parsing, semantic role labeling, and named entity recognition, with comparisons ...
Our results provide further evidence for the benefits of polyglot learning, in which representations are shared across multiple languages. ...
A.3 Semantic Role Labeling For SRL, we again follow the hyperparameters given in AllenNLP (Table 5 ). ...
doi:10.18653/v1/n19-1392
dblp:conf/naacl/MulcaireKS19
fatcat:hb3yqssp7rgcxjnbnxpubbdlsy
Cross-lingual Structure Transfer for Relation and Event Extraction
2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
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The event argument role labeling model transferred from English to Chinese achieves similar performance as the model trained from Chinese. ...
Labeling. ...
Polyglot semantic role labeling. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). ...
doi:10.18653/v1/d19-1030
dblp:conf/emnlp/SubburathinamLJ19
fatcat:3vwt72efyrfn7ojd6pkn64q7w4
Inducing Language Networks from Continuous Space Word Representations
[article]
2014
arXiv
pre-print
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[11] developed SENNA, a system that offers part of speech tagger, chunker, named entity recognizer, semantic role labeler and discriminative syntactic parser using the distributed word representations ...
Vertex label size is determined by its PageRank. Best viewed in color.
Fig. 4 : 4 Comparison of clusters found in Polyglot and SkipGram language networks. ...
arXiv:1403.1252v2
fatcat:vwfdaihjfza4ljpzowqs3pghzy
Towards context in large scale biomedical knowledge graphs
[article]
2020
arXiv
pre-print
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Here, we propose a multiple step knowledge graph approach using labeled property graphs based on polyglot persistence systems to utilize context data for context mining, graph queries, knowledge discovery ...
We introduce the graph-theoretic foundation for a general context concept within semantic networks and show a proof-of-concept based on biomedical literature and text mining. ...
They play an important role in data and text mining as well as knowledge representation in the semantic web. ...
arXiv:2001.08392v1
fatcat:7ichvia6kjgobfa4qnwyf3d5au
Generalizing Word Embeddings using Bag of Subwords
2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
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, rather than LSTM's ability to memorize words and infer the role of words from their context. ...
Thus, we would like a method to provide vectors that capture semantic and grammatical fea-tures even for OOV words. ...
doi:10.18653/v1/d18-1059
dblp:conf/emnlp/ZhaoML18
fatcat:ck7hk6l33nhkhfdlgwddrcynje
Generalizing Word Embeddings using Bag of Subwords
[article]
2018
arXiv
pre-print
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, rather than LSTM's ability to memorize words and infer the role of words from their context. ...
Thus, we would like a method to provide vectors that capture semantic and grammatical features even for OOV words. ...
arXiv:1809.04259v1
fatcat:pdzhnzhcbngwxiv5vpujorwmxq
Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling
[article]
2019
arXiv
pre-print
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We propose a Cross-lingual Encoder-Decoder model that simultaneously translates and generates sentences with Semantic Role Labeling annotations in a resource-poor target language. ...
role annotations. ...
Introduction Semantic Role Labeling (SRL) extracts semantic predicate-argument structure from sentences. ...
arXiv:1908.11326v1
fatcat:uequw67mdnernipvnn7hd3xvv4
Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling
2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
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We propose a Cross-lingual Encoder-Decoder model that simultaneously translates and generates sentences with Semantic Role Labeling annotations in a resource-poor target language. ...
role annotations. ...
Introduction Semantic Role Labeling (SRL) extracts semantic predicate-argument structure from sentences. ...
doi:10.18653/v1/d19-1056
dblp:conf/emnlp/DazaF19
fatcat:c2w2hf2ahjayfd6ng4cwblxd4a
Neuro-Symbolic Regex Synthesis Framework via Neural Example Splitting
[article]
2022
arXiv
pre-print
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Random RegExLib Snort Polyglot Succ. Acc. Succ. Acc. Succ. Acc. Succ. Acc. ...
Method RegExLib Snort Polyglot Corpus Succ. Acc. Full. Succ. Acc. Full. Succ. Acc. Full. ...
We train NeuralSplitter only on the Polyglot Corpus, which is the largest regex dataset, and evaluate the performance on different datasets RegExLib and Snort. ...
arXiv:2205.11258v1
fatcat:kpdcickmujhzxhqs7pz52t676q
Syntax-aware Multilingual Semantic Role Labeling
[article]
2019
arXiv
pre-print
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Recently, semantic role labeling (SRL) has earned a series of success with even higher performance improvements, which can be mainly attributed to syntactic integration and enhanced word representation ...
Besides, we pose a discussion on the syntactic role among different languages and verify the effectiveness of deep enhanced representation for multilingual SRL. ...
Introduction Semantic role labeling (SRL) aims to derive the meaning representation such as an instantiated predicate-argument structure for a sentence. ...
arXiv:1909.00310v3
fatcat:vp7sbvg5qrcr5ifpayrkw64wbm
Page 870 of Linguistics and Language Behavior Abstracts: LLBA Vol. 28, Issue 2
[page]
1994
Linguistics and Language Behavior Abstracts: LLBA
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
German noun phrases, composition noun as head, syntactic-semantic analysis; 9402935 specialized vocabulary semi-automatic acquisition, lexical semantics knowledge utilization, banking terms example; 9403001 ...
analysis; 9403109
Jakobson, R., poetics thoughts, 1921-1960 essays; 9403157
Language for Special Purposes 1993 symposium report, Bergen (Nor- way); 9402233
language/cognition issues, products liability labels ...
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