21 |
Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval ...
|
|
|
|
BASE
|
|
Show details
|
|
22 |
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models ...
|
|
|
|
BASE
|
|
Show details
|
|
23 |
Parameter space factorization for zero-shot learning across tasks and languages ...
|
|
|
|
BASE
|
|
Show details
|
|
25 |
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
|
|
|
|
BASE
|
|
Show details
|
|
26 |
UNKs Everywhere: Adapting Multilingual Language Models to New Scripts ...
|
|
|
|
BASE
|
|
Show details
|
|
27 |
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models ...
|
|
|
|
BASE
|
|
Show details
|
|
28 |
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ...
|
|
|
|
BASE
|
|
Show details
|
|
29 |
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
|
|
|
|
BASE
|
|
Show details
|
|
30 |
Multilingual and Cross-Lingual Intent Detection from Spoken Data ...
|
|
The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Gerz, Daniela; Kusztos, Razvan; Lis, Michał; Mondal, Avishek; Mrkšić, Nikola; Singhal, Eshan; Su, Pei-Hao; Vulić, Ivan; Wen, Tsung-Hsien. - : Underline Science Inc., 2021
|
|
Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.591/ Abstract: We present a systematic study on multilingual and cross-lingual intent detection (ID) from spoken data. The study leverages a new resource put forth in this work, termed MInDS-14, a first training and evaluation resource for the ID task with spoken data. It covers 14 intents extracted from a commercial system in the e-banking domain, associated with spoken examples in 14 diverse language varieties. Our key results indicate that combining machine translation models with state-of-the-art multilingual sentence encoders (e.g., LaBSE) yield strong intent detectors in the majority of target languages covered in MInDS-14, and offer comparative analyses across different axes: e.g., translation direction, impact of speech recognition, data augmentation from a related domain. We see this work as an important step towards more inclusive development and evaluation of multilingual ID from spoken data, hopefully in a much wider spectrum of ...
|
|
URL: https://dx.doi.org/10.48448/tznr-dq87 https://underline.io/lecture/37837-multilingual-and-cross-lingual-intent-detection-from-spoken-data
|
|
BASE
|
|
Hide details
|
|
31 |
Semantic Data Set Construction from Human Clustering and Spatial Arrangement ...
|
|
|
|
BASE
|
|
Show details
|
|
32 |
AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples ...
|
|
|
|
BASE
|
|
Show details
|
|
33 |
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders ...
|
|
|
|
BASE
|
|
Show details
|
|
34 |
Parameter space factorization for zero-shot learning across tasks and languages
|
|
|
|
In: Transactions of the Association for Computational Linguistics, 9 (2021)
|
|
BASE
|
|
Show details
|
|
35 |
AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples ...
|
|
|
|
BASE
|
|
Show details
|
|
36 |
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders ...
|
|
|
|
BASE
|
|
Show details
|
|
37 |
LexFit: Lexical Fine-Tuning of Pretrained Language Models ...
|
|
|
|
BASE
|
|
Show details
|
|
38 |
Verb Knowledge Injection for Multilingual Event Processing ...
|
|
|
|
BASE
|
|
Show details
|
|
39 |
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters ...
|
|
|
|
BASE
|
|
Show details
|
|
40 |
Is supervised syntactic parsing beneficial for language understanding tasks? An empirical investigation
|
|
|
|
BASE
|
|
Show details
|
|
|
|