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07/29/2023
Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation
Recent neural news recommenders (NNR) extend content-based recommendatio...
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07/13/2023
mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMs
Modular vision-language models (Vision-LLMs) align pretrained image enco...
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06/14/2023
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations
Vision-and-language (VL) models with separate encoders for each modality...
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05/26/2023
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint Averaging
Massively multilingual language models have displayed strong performance...
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05/23/2023
Leveraging Open Information Extraction for Improving Few-Shot Trigger Detection Domain Transfer
Event detection is a crucial information extraction task in many domains...
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05/11/2023
A General-Purpose Multilingual Document Encoder
Massively multilingual pretrained transformers (MMTs) have tremendously ...
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04/18/2023
Transfer to a Low-Resource Language via Close Relatives: The Case Study on Faroese
Multilingual language models have pushed state-of-the-art in cross-lingu...
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04/06/2023
Simplifying Content-Based Neural News Recommendation: On User Modeling and Training Objectives
The advent of personalized news recommendation has given rise to increas...
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10/13/2022
Can Demographic Factors Improve Text Classification? Revisiting Demographic Adaptation in the Age of Transformers
Demographic factors (e.g., gender or age) shape our language. Previous w...
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10/12/2022
The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classification
Few-shot Intent Classification (FSIC) is one of the key challenges in mo...
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08/01/2022
On the Limitations of Sociodemographic Adaptation with Transformers
Sociodemographic factors (e.g., gender or age) shape our language. Previ...
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08/01/2022
BabelBERT: Massively Multilingual Transformers Meet a Massively Multilingual Lexical Resource
While pretrained language models (PLMs) primarily serve as general purpo...
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05/30/2022
ZusammenQA: Data Augmentation with Specialized Models for Cross-lingual Open-retrieval Question Answering System
This paper introduces our proposed system for the MIA Shared Task on Cro...
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05/20/2022
Multi2WOZ: A Robust Multilingual Dataset and Conversational Pretraining for Task-Oriented Dialog
Research on (multi-domain) task-oriented dialog (TOD) has predominantly ...
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04/05/2022
Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval
State-of-the-art neural (re)rankers are notoriously data hungry which - ...
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03/16/2022
Geographic Adaptation of Pretrained Language Models
Geographic linguistic features are commonly used to improve the performa...
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12/21/2021
On Cross-Lingual Retrieval with Multilingual Text Encoders
In this work we present a systematic empirical study focused on the suit...
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10/15/2021
DS-TOD: Efficient Domain Specialization for Task Oriented Dialog
Recent work has shown that self-supervised dialog-specific pretraining o...
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09/15/2021
AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark
Open Information Extraction (OIE) is the task of extracting facts from s...
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09/14/2021
BenchIE: Open Information Extraction Evaluation Based on Facts, Not Tokens
Intrinsic evaluations of OIE systems are carried out either manually – w...
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09/08/2021
Sustainable Modular Debiasing of Language Models
Unfair stereotypical biases (e.g., gender, racial, or religious biases) ...
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08/13/2021
Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases
We analyze bias in historical corpora as encoded in diachronic distribut...
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07/01/2021
Scientia Potentia Est – On the Role of Knowledge in Computational Argumentation
Despite extensive research in the past years, the computational modeling...
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06/07/2021
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models
Text representation models are prone to exhibit a range of societal bias...
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04/17/2021
Crossing the Conversational Chasm: A Primer on Multilingual Task-Oriented Dialogue Systems
Despite the fact that natural language conversations with machines repre...
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03/11/2021
DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding Spaces
Recent research efforts in NLP have demonstrated that distributional wor...
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01/21/2021
Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval
Pretrained multilingual text encoders based on neural Transformer archit...
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12/31/2020
Verb Knowledge Injection for Multilingual Event Processing
In parallel to their overwhelming success across NLP tasks, language abi...
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12/11/2020
Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual Transfer
Adapter modules, additional trainable parameters that enable efficient f...
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11/03/2020
AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings
Recent work has shown that distributional word vector spaces often encod...
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10/12/2020
Probing Pretrained Language Models for Lexical Semantics
The success of large pretrained language models (LMs) such as BERT and R...
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08/15/2020
Is Supervised Syntactic Parsing Beneficial for Language Understanding? An Empirical Investigation
Traditional NLP has long held (supervised) syntactic parsing necessary f...
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05/24/2020
Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers
Following the major success of neural language models (LMs) such as BERT...
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05/01/2020
From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers
Massively multilingual transformers pretrained with language modeling ob...
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05/01/2020
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
In order to simulate human language capacity, natural language processin...
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04/16/2020
Towards Instance-Level Parser Selection for Cross-Lingual Transfer of Dependency Parsers
Current methods of cross-lingual parser transfer focus on predicting the...
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04/07/2020
Windowing Models for Abstractive Summarization of Long Texts
Neural summarization models suffer from the fixed-size input limitation:...
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01/03/2020
Two-Level Transformer and Auxiliary Coherence Modeling for Improved Text Segmentation
Breaking down the structure of long texts into semantically coherent seg...
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09/13/2019
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces
Distributional word vectors have recently been shown to encode many of t...
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09/05/2019
Informing Unsupervised Pretraining with External Linguistic Knowledge
Unsupervised pretraining models have been shown to facilitate a wide ran...
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09/04/2019
Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?
Recent efforts in cross-lingual word embedding (CLWE) learning have pred...
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04/26/2019
Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors
Word embeddings have recently been shown to reflect many of the pronounc...
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04/12/2019
Political Text Scaling Meets Computational Semantics
During the last fifteen years, text scaling approaches have become a cen...
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02/01/2019
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions
Cross-lingual word embeddings (CLEs) enable multilingual modeling of mea...
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09/11/2018
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization
Semantic specialization is the process of fine-tuning pre-trained distri...
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05/08/2018
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources
Word vector specialisation (also known as retrofitting) is a portable, l...
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05/02/2018
Unsupervised Cross-Lingual Information Retrieval using Monolingual Data Only
We propose a fully unsupervised framework for ad-hoc cross-lingual infor...
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01/19/2018
