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05/23/2023
DAPR: A Benchmark on Document-Aware Passage Retrieval
Recent neural retrieval mainly focuses on ranking short texts and is cha...
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10/19/2022
Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking
Pairing a lexical retriever with a neural re-ranking model has set state...
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10/13/2022
MTEB: Massive Text Embedding Benchmark
Text embeddings are commonly evaluated on a small set of datasets from a...
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09/22/2022
Efficient Few-Shot Learning Without Prompts
Recent few-shot methods, such as parameter-efficient fine-tuning (PEFT) ...
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05/23/2022
Domain Adaptation for Memory-Efficient Dense Retrieval
Dense retrievers encode documents into fixed dimensional embeddings. How...
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03/25/2022
UKP-SQUARE: An Online Platform for Question Answering Research
Recent advances in NLP and information retrieval have given rise to a di...
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12/14/2021
GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval
Dense retrieval approaches can overcome the lexical gap and lead to sign...
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04/17/2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Neural IR models have often been studied in homogeneous and narrow setti...
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04/14/2021
TWEAC: Transformer with Extendable QA Agent Classifiers
Question answering systems should help users to access knowledge on a br...
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04/14/2021
TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning
Learning sentence embeddings often requires large amount of labeled data...
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03/22/2021
Retrieve Fast, Rerank Smart: Cooperative and Joint Approaches for Improved Cross-Modal Retrieval
Current state-of-the-art approaches to cross-modal retrieval process tex...
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12/28/2020
The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes
Information Retrieval using dense low-dimensional representations recent...
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11/24/2020
Cross-Document Event Coreference Resolution Beyond Corpus-Tailored Systems
Cross-document event coreference resolution (CDCR) is an NLP task in whi...
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10/22/2020
AdapterDrop: On the Efficiency of Adapters in Transformers
Massively pre-trained transformer models are computationally expensive t...
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10/16/2020
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks
There are two approaches for pairwise sentence scoring: Cross-encoders, ...
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04/21/2020
Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation
We present an easy and efficient method to extend existing sentence embe...
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08/27/2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
BERT (Devlin et al., 2018) and RoBERTa (Liu et al., 2019) has set a new ...
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06/24/2019
Classification and Clustering of Arguments with Contextualized Word Embeddings
We experiment with two recent contextualized word embedding methods (ELM...
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06/04/2019
Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution
Recognizing coreferring events and entities across multiple texts is cru...
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04/05/2019
Alternative Weighting Schemes for ELMo Embeddings
ELMo embeddings (Peters et. al, 2018) had a huge impact on the NLP commu...
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03/26/2018
Why Comparing Single Performance Scores Does Not Allow to Draw Conclusions About Machine Learning Approaches
Developing state-of-the-art approaches for specific tasks is a major dri...
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07/31/2017
Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging
In this paper we show that reporting a single performance score is insuf...
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07/21/2017
