61 |
MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer
|
|
|
|
BASE
|
|
Show details
|
|
62 |
SemEval-2020 Task 3: Graded Word Similarity in Context
|
|
Santos Armendariz, Carlos; Purver, Matthew; Pollak, Senja; Ljubesic, Nikola; Ulcar, Matej; Vulic, Ivan; Pilehvar, Mohammad Taher. - : International Committee for Computational Linguistics, 2020. : https://www.aclweb.org/anthology/2020.semeval-1.3, 2020. : Proceedings of the 14th International Workshop on Semantic Evaluation (SemEval 2020), 2020
|
|
Abstract:
This paper presents the Graded Word Similarity in Context (GWSC) task which asked participants to predict the effects of context on human perception of similarity in English, Croatian, Slovene and Finnish. We received 15 submissions and 11 system description papers. A new dataset (CoSimLex) was created for evaluation in this task: it contains pairs of words, each annotated within two short text passages. Systems beat the baselines by significant margins, but few did well in more than one language or subtask. Almost every system employed a Transformer model, but with many variations in the details: WordNet sense embeddings, translation of contexts, TF-IDF weightings, and the automatic creation of datasets for fine-tuning were all used to good effect.
|
|
URL: https://www.repository.cam.ac.uk/handle/1810/315096 https://doi.org/10.17863/CAM.62203
|
|
BASE
|
|
Hide details
|
|
63 |
Multidirectional Associative Optimization of Function-Specific Word Representations
|
|
Gerz, Daniela; Vulic, Ivan; Rei, Marek. - : Association for Computational Linguistics, 2020. : 58TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2020), 2020
|
|
BASE
|
|
Show details
|
|
64 |
AdapterHub: A Framework for Adapting Transformers
|
|
Pfeiffer, Jonas; Ruckle, Andreas; Poth, Clifton. - : Association for Computational Linguistics, 2020. : Proceedings of the Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP 2020), 2020
|
|
BASE
|
|
Show details
|
|
66 |
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
|
|
|
|
BASE
|
|
Show details
|
|
67 |
XHate-999: Analyzing and Detecting Abusive Language Across Domains and Languages
|
|
Glavas, Goran; Karan, Mladen; Vulic, Ivan. - : International Committee on Computational Linguistics, 2020. : https://www.aclweb.org/anthology/2020.coling-main.559, 2020. : Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), 2020
|
|
BASE
|
|
Show details
|
|
68 |
Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations
|
|
|
|
BASE
|
|
Show details
|
|
69 |
Specializing unsupervised pretraining models for word-level semantic similarity
|
|
|
|
BASE
|
|
Show details
|
|
70 |
Non-linear instance-based cross-lingual mapping for non-isomorphic embedding spaces
|
|
|
|
BASE
|
|
Show details
|
|
71 |
Classification-based self-learning for weakly supervised bilingual lexicon induction
|
|
|
|
BASE
|
|
Show details
|
|
73 |
Common sense or world knowledge? Investigating adapter-based knowledge injection into pretrained transformers
|
|
|
|
BASE
|
|
Show details
|
|
74 |
XHate-999: analyzing and detecting abusive language across domains and languages
|
|
|
|
BASE
|
|
Show details
|
|
75 |
XCOPA: A multilingual dataset for causal commonsense reasoning
|
|
|
|
BASE
|
|
Show details
|
|
76 |
Improving bilingual lexicon induction with unsupervised post-processing of monolingual word vector spaces
|
|
|
|
BASE
|
|
Show details
|
|
77 |
From zero to hero: On the limitations of zero-shot language transfer with multilingual transformers
|
|
|
|
BASE
|
|
Show details
|
|
78 |
SemEval-2020 Task 2: Predicting multilingual and cross-lingual (graded) lexical entailment
|
|
|
|
BASE
|
|
Show details
|
|
79 |
Towards instance-level parser selection for cross-lingual transfer of dependency parsers
|
|
|
|
BASE
|
|
Show details
|
|
80 |
Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing
|
|
|
|
In: ISSN: 0891-2017 ; EISSN: 1530-9312 ; Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02425462 ; Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2019, 45 (3), pp.559-601. ⟨10.1162/coli_a_00357⟩ ; https://www.mitpressjournals.org/doi/abs/10.1162/coli_a_00357 (2019)
|
|
BASE
|
|
Show details
|
|
|
|