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Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision
[article]
2018
arXiv
pre-print
Preserved Fulltext
Our method does not require parallel corpora, and automatically generates comparable data via distant supervision using multi-lingual knowledge bases. ...
It captures mutually complementary knowledge, and enables cross-lingual inferences among knowledge bases and texts. ...
One remedy is to use existing multi-lingual resources (i.e. multilingual KB). ...
arXiv:1811.10776v1
fatcat:rkyiznw2hvdjhdy4fylkxw4fay
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision
2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
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Our method does not require parallel corpora, and automatically generates comparable data via distant supervision using multi-lingual knowledge bases. ...
It captures mutually complementary knowledge, and enables cross-lingual inferences among knowledge bases and texts. ...
One remedy is to use existing multi-lingual resources (i.e. multilingual KB). ...
doi:10.18653/v1/d18-1021
dblp:conf/emnlp/0002HLLLCD18
fatcat:bmbfxf7bb5clljirnliytkagou
Legal document retrieval across languages: topic hierarchies based on synsets
[article]
2019
arXiv
pre-print
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Cross-lingual annotations of legislative texts enable us to explore major themes covered in multilingual legal data and are a key facilitator of semantic similarity when searching for similar documents ...
Multilingual probabilistic topic models have recently emerged as a group of semi-supervised machine learning models that can be used to perform thematic explorations on collections of texts in multiple ...
according to their relevance (i.e. semantic similarity) to the query text regardless of the language used. ...
arXiv:1911.12637v1
fatcat:g7nqfyztmbbb7kmsu2hro4h2s4
A Framework for Building a Multilingual Industrial Ontology: Methodology and a Case Study for Building Smartphone English-Arabic Ontology
2021
International journal of Web & Semantic Technology
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In addition, multi-lingual ontologies can also help in commercial transactions. ...
This research paper provides a framework model for building industrial multilingual ontologies which include Corpus Determination, Filtering, Analysis, Ontology Building, and Ontology Evaluation. ...
ACKNOWLEDGEMENTS "This work was conducted using the Protégé resource, which is supported by grant GM10331601 from the National Institute of General Medical Sciences of the United States National Institutes ...
doi:10.5121/ijwest.2021.12302
fatcat:yze3t4uidbcqnna63ydejleai4
Citius at SemEval-2017 Task 2: Cross-Lingual Similarity from Comparable Corpora and Dependency-Based Contexts
2017
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
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The evaluation of the results show that our method is competitive with other cross-lingual strategies, even those using aligned and parallel texts. ...
Our method uses comparable corpora and syntactic dependencies to extract count-based and transparent bilingual distributional contexts. ...
Besides, in the cross-lingual task, we have built the models with non-parallel corpora instead of using aligned and parallel texts. ...
doi:10.18653/v1/s17-2034
dblp:conf/semeval/Gamallo17
fatcat:t2bml5rn75dqpibygfet67ky7a
Adversarial Multi-lingual Neural Relation Extraction
2018
International Conference on Computational Linguistics
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Multi-lingual relation extraction aims to find unknown relational facts from text in various languages. ...
To address these issues, we propose an adversarial multi-lingual neural relation extraction (AMNRE) model, which builds both consistent and individual representations for each sentence to consider the ...
Then, construct a multi-lingual NRE (MNRE) model to jointly represent text of multiple languages to enhance RE. ...
dblp:conf/coling/WangHL0S18
fatcat:z3nyacma75de3gg2wbmva4tugu
Expanding the Text Classification Toolbox with Cross-Lingual Embeddings
[article]
2019
arXiv
pre-print
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for CLTC; and we move from bi- to multi-lingual word embeddings. ...
Transfer-based approaches, such as Cross-Lingual Text Classification (CLTC) - the task of categorizing texts written in different languages into a common taxonomy, are a promising solution to the emerging ...
Cross-Lingual Text Classification using Pre-trained Embeddings The different variations of plain text classification models to which pre-trained embeddings are directly fed are represented in Fig. 1 . ...
arXiv:1903.09878v2
fatcat:h3ho57z64bea5e3f36lfh2lymy
SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation
2016
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
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While prior evaluations constrained themselves to just monolingual snippets of text, the 2016 shared task includes a pilot subtask on computing semantic similarity on cross-lingual text snippets. ...
Semantic Textual Similarity (STS) seeks to measure the degree of semantic equivalence between two snippets of text. ...
Introduction Semantic Textual Similarity (STS) assesses the degree to which the underlying semantics of two segments of text are equivalent to each other. ...
doi:10.18653/v1/s16-1081
dblp:conf/semeval/AgirreBCDGMRW16
fatcat:oyct7jmwsvg7ppgpv7u4vnlcii
Towards Zero-shot Cross-lingual Image Retrieval and Tagging
[article]
2021
arXiv
pre-print
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We also demonstrate how a cross-lingual model can be used for downstream tasks like multi-lingual image tagging in a zero shot manner. ...
We try to bridge this gap with a zero-shot approach for learning multi-modal representations using cross-lingual pre-training on the text side. ...
We experiment with two state-of-theart cross-lingual models -LASER [3] and Multi-lingual USE (or mUSE) [6, 38] . ...
arXiv:2109.07622v1
fatcat:hvegymlhybgjhjqgj3ysnljmlu
A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis
[article]
2022
arXiv
pre-print
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First, we design an adversarial embedding adapter for learning an informative and robust representation by capturing implicit semantic information from diverse multi-lingual embeddings adaptively. ...
Notably, we propose a Knowledge-Enhanced Adversarial Model () with both implicit distributed and explicit structural knowledge to enhance the cross-lingual transfer. ...
Moreover, the performance of various multi-lingual embeddings is very different due to various multi-lingual embeddings having different semantic information. ...
arXiv:2205.15514v1
fatcat:6hqs2ok5qrfmdmnrkusqtaesya
Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue Systems
[article]
2019
arXiv
pre-print
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using existing bilingual dictionaries. ...
It leverages very few task-related parallel word pairs to generate code-switching sentences for learning the inter-lingual semantics across languages. ...
EN denotes an English text, IT denotes an Italian text, and CS denotes a code-switching text (i.e., a mixed-language sentence). ...
arXiv:1911.09273v1
fatcat:bazx4femujbntnwgb4j6bjmfxm
Multi-Lingual Dialogue Act Recognition with Deep Learning Methods
2019
Interspeech 2019
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Cross-lingual Model
The cross-lingual model relies on a semantic space transforma-
tion. ...
Multi-lingual DA Recognition
This section starts by describing the two methods we use to
achieve multi-linguality. ...
doi:10.21437/interspeech.2019-1691
dblp:conf/interspeech/MartinekKLC19
fatcat:nwhkm4bn3nbbbopfrhyfw5z4ru
Multi-Lingual Sentiment Analysis of Social Data Based on Emotion-Bearing Patterns
2014
Proceedings of the Second Workshop on Natural Language Processing for Social Media (SocialNLP)
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The experiments demonstrate that our approach performs an effective multi-lingual sentiment analysis of microblog data with little more than a 100 emotion-bearing patterns. ...
The proposed multi-lingual framework consists of two stages: Filter and Refine approach. ...
Multi-lingual Sentiment Analysis on Microblog Data The following Filter and Refine approach is employed to determine the polarity of posts from microblog data. ...
doi:10.3115/v1/w14-5906
dblp:conf/acl-socialnlp/ArguetaC14
fatcat:qijt4ywjmnarhaal46dzp2praq
Scalable Cross-lingual Document Similarity through Language-specific Concept Hierarchies
2019
Proceedings of the 10th International Conference on Knowledge Capture - K-CAP '19
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Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2020 pre-print arXiv:2101.03026v1 fatcat:dpl34b35lbc2pkomyymzclc3ce
Multilingual probabilistic topic models have recently emerged as a group of semi-supervised machine learning models that can be used to perform thematic explorations on collections of texts in multiple ...
With the ongoing growth in number of digital articles in a wider set of languages and the expanding use of different languages, we need annotation methods that enable browsing multi-lingual corpora. ...
Multi-lingual topic models discover language-specific descriptions of each topic from documents in multi-lingual corpora. ...
doi:10.1145/3360901.3364444
dblp:conf/kcap/Badenes-OlmedoG19
fatcat:ddnsb5mohfgollh7sd6u253ofm
Attention-Informed Mixed-Language Training for Zero-Shot Cross-Lingual Task-Oriented Dialogue Systems
2020
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
Preserved Fulltext
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using existing bilingual dictionaries. ...
It leverages very few task-related parallel word pairs to generate code-switching sentences for learning the inter-lingual semantics across languages. ...
EN denotes an English text, IT denotes an Italian text, and CS denotes a code-switching text (i.e., a mixed-language sentence). ...
doi:10.1609/aaai.v34i05.6362
fatcat:h322k7c6zfa5rnfy2g5vnxs2pe
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